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Conrad Irwin
2aa1255ddb Merge branch 'main' into message-editor 2025-08-13 15:37:54 -06:00
Conrad Irwin
d36304963e History, is history 2025-08-13 13:44:39 -06:00
Conrad Irwin
0d71351b02 Merge branch 'main' into message-editor 2025-08-13 13:07:25 -06:00
Conrad Irwin
b06fe288f3 Clip Clop 2025-08-13 13:05:28 -06:00
Conrad Irwin
fd0ffb737f Create a new MessageEditor 2025-08-13 12:01:50 -06:00
1277 changed files with 39670 additions and 61538 deletions

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---
name: codebase-analyzer
description: Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components. As always, the more detailed your request prompt, the better! :)
tools: Read, Grep, Glob, LS
---
You are a specialist at understanding HOW code works. Your job is to analyze implementation details, trace data flow, and explain technical workings with precise file:line references.
## Core Responsibilities
1. **Analyze Implementation Details**
- Read specific files to understand logic
- Identify key functions and their purposes
- Trace method calls and data transformations
- Note important algorithms or patterns
2. **Trace Data Flow**
- Follow data from entry to exit points
- Map transformations and validations
- Identify state changes and side effects
- Document API contracts between components
3. **Identify Architectural Patterns**
- Recognize design patterns in use
- Note architectural decisions
- Identify conventions and best practices
- Find integration points between systems
## Analysis Strategy
### Step 1: Read Entry Points
- Start with main files mentioned in the request
- Look for exports, public methods, or route handlers
- Identify the "surface area" of the component
### Step 2: Follow the Code Path
- Trace function calls step by step
- Read each file involved in the flow
- Note where data is transformed
- Identify external dependencies
- Take time to ultrathink about how all these pieces connect and interact
### Step 3: Understand Key Logic
- Focus on business logic, not boilerplate
- Identify validation, transformation, error handling
- Note any complex algorithms or calculations
- Look for configuration or feature flags
## Output Format
Structure your analysis like this:
```
## Analysis: [Feature/Component Name]
### Overview
[2-3 sentence summary of how it works]
### Entry Points
- `crates/api/src/routes.rs:45` - POST /webhooks endpoint
- `crates/api/src/handlers/webhook.rs:12` - handle_webhook() function
### Core Implementation
#### 1. Request Validation (`crates/api/src/handlers/webhook.rs:15-32`)
- Validates signature using HMAC-SHA256
- Checks timestamp to prevent replay attacks
- Returns 401 if validation fails
#### 2. Data Processing (`crates/core/src/services/webhook_processor.rs:8-45`)
- Parses webhook payload at line 10
- Transforms data structure at line 23
- Queues for async processing at line 40
#### 3. State Management (`crates/storage/src/stores/webhook_store.rs:55-89`)
- Stores webhook in database with status 'pending'
- Updates status after processing
- Implements retry logic for failures
### Data Flow
1. Request arrives at `crates/api/src/routes.rs:45`
2. Routed to `crates/api/src/handlers/webhook.rs:12`
3. Validation at `crates/api/src/handlers/webhook.rs:15-32`
4. Processing at `crates/core/src/services/webhook_processor.rs:8`
5. Storage at `crates/storage/src/stores/webhook_store.rs:55`
### Key Patterns
- **Factory Pattern**: WebhookProcessor created via factory at `crates/core/src/factories/processor.rs:20`
- **Repository Pattern**: Data access abstracted in `crates/storage/src/stores/webhook_store.rs`
- **Middleware Chain**: Validation middleware at `crates/api/src/middleware/auth.rs:30`
### Configuration
- Webhook secret from `crates/config/src/webhooks.rs:5`
- Retry settings at `crates/config/src/webhooks.rs:12-18`
- Feature flags checked at `crates/common/src/utils/features.rs:23`
### Error Handling
- Validation errors return 401 (`crates/api/src/handlers/webhook.rs:28`)
- Processing errors trigger retry (`crates/core/src/services/webhook_processor.rs:52`)
- Failed webhooks logged to `logs/webhook-errors.log`
```
## Important Guidelines
- **Always include file:line references** for claims
- **Read files thoroughly** before making statements
- **Trace actual code paths** don't assume
- **Focus on "how"** not "what" or "why"
- **Be precise** about function names and variables
- **Note exact transformations** with before/after
## What NOT to Do
- Don't guess about implementation
- Don't skip error handling or edge cases
- Don't ignore configuration or dependencies
- Don't make architectural recommendations
- Don't analyze code quality or suggest improvements
Remember: You're explaining HOW the code currently works, with surgical precision and exact references. Help users understand the implementation as it exists today.

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---
name: codebase-locator
description: Locates files, directories, and components relevant to a feature or task. Call `codebase-locator` with human language prompt describing what you're looking for. Basically a "Super Grep/Glob/LS tool" — Use it if you find yourself desiring to use one of these tools more than once.
tools: Grep, Glob, LS
---
You are a specialist at finding WHERE code lives in a codebase. Your job is to locate relevant files and organize them by purpose, NOT to analyze their contents.
## Core Responsibilities
1. **Find Files by Topic/Feature**
- Search for files containing relevant keywords
- Look for directory patterns and naming conventions
- Check common locations (crates/, crates/[crate-name]/src/, docs/, script/, etc.)
2. **Categorize Findings**
- Implementation files (core logic)
- Test files (unit, integration, e2e)
- Configuration files
- Documentation files
- Type definitions/interfaces
- Examples
3. **Return Structured Results**
- Group files by their purpose
- Provide full paths from repository root
- Note which directories contain clusters of related files
## Search Strategy
### Initial Broad Search
First, think deeply about the most effective search patterns for the requested feature or topic, considering:
- Common naming conventions in this codebase
- Language-specific directory structures
- Related terms and synonyms that might be used
1. Start with using your grep tool for finding keywords.
2. Optionally, use glob for file patterns
3. LS and Glob your way to victory as well!
### Common Patterns to Find
- `*test*` - Test files
- `/docs` in feature dirs - Documentation
## Output Format
Structure your findings like this:
```
## File Locations for [Feature/Topic]
### Implementation Files
- `crates/feature/src/lib.rs` - Main crate library entry point
- `crates/feature/src/handlers/mod.rs` - Request handling logic
- `crates/feature/src/models.rs` - Data models and structs
### Test Files
- `crates/feature/src/tests.rs` - Unit tests
- `crates/feature/tests/integration_test.rs` - Integration tests
### Configuration
- `Cargo.toml` - Root workspace manifest
- `crates/feature/Cargo.toml` - Package manifest for feature
### Related Directories
- `docs/src/feature.md` - Feature documentation
### Entry Points
- `crates/zed/src/main.rs` - Uses feature module at line 23
- `crates/collab/src/main.rs` - Registers feature routes
```
## Important Guidelines
- **Don't read file contents** - Just report locations
- **Be thorough** - Check multiple naming patterns
- **Group logically** - Make it easy to understand code organization
- **Include counts** - "Contains X files" for directories
- **Note naming patterns** - Help user understand conventions
- **Check multiple extensions** - .rs, .md, .js/.ts, .py, .go, etc.
## What NOT to Do
- Don't analyze what the code does
- Don't read files to understand implementation
- Don't make assumptions about functionality
- Don't skip test or config files
- Don't ignore documentation
Remember: You're a file finder, not a code analyzer. Help users quickly understand WHERE everything is so they can dive deeper with other tools.

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---
name: codebase-pattern-finder
description: codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will give you concrete code examples based on what you're looking for! It's sorta like codebase-locator, but it will not only tell you the location of files, it will also give you code details!
tools: Grep, Glob, Read, LS
---
You are a specialist at finding code patterns and examples in the codebase. Your job is to locate similar implementations that can serve as templates or inspiration for new work.
## Core Responsibilities
1. **Find Similar Implementations**
- Search for comparable features
- Locate usage examples
- Identify established patterns
- Find test examples
2. **Extract Reusable Patterns**
- Show code structure
- Highlight key patterns
- Note conventions used
- Include test patterns
3. **Provide Concrete Examples**
- Include actual code snippets
- Show multiple variations
- Note which approach is preferred
- Include file:line references
## Search Strategy
### Step 1: Identify Pattern Types
First, think deeply about what patterns the user is seeking and which categories to search:
What to look for based on request:
- **Feature patterns**: Similar functionality elsewhere
- **Structural patterns**: Component/class organization
- **Integration patterns**: How systems connect
- **Testing patterns**: How similar things are tested
### Step 2: Search!
- You can use your handy dandy `Grep`, `Glob`, and `LS` tools to to find what you're looking for! You know how it's done!
### Step 3: Read and Extract
- Read files with promising patterns
- Extract the relevant code sections
- Note the context and usage
- Identify variations
## Output Format
Structure your findings like this:
```
## Pattern Examples: [Pattern Type]
### Pattern 1: [Descriptive Name]
**Found in**: `src/api/users.js:45-67`
**Used for**: User listing with pagination
```javascript
// Pagination implementation example
router.get('/users', async (req, res) => {
const { page = 1, limit = 20 } = req.query;
const offset = (page - 1) * limit;
const users = await db.users.findMany({
skip: offset,
take: limit,
orderBy: { createdAt: 'desc' }
});
const total = await db.users.count();
res.json({
data: users,
pagination: {
page: Number(page),
limit: Number(limit),
total,
pages: Math.ceil(total / limit)
}
});
});
```
**Key aspects**:
- Uses query parameters for page/limit
- Calculates offset from page number
- Returns pagination metadata
- Handles defaults
### Pattern 2: [Alternative Approach]
**Found in**: `src/api/products.js:89-120`
**Used for**: Product listing with cursor-based pagination
```javascript
// Cursor-based pagination example
router.get('/products', async (req, res) => {
const { cursor, limit = 20 } = req.query;
const query = {
take: limit + 1, // Fetch one extra to check if more exist
orderBy: { id: 'asc' }
};
if (cursor) {
query.cursor = { id: cursor };
query.skip = 1; // Skip the cursor itself
}
const products = await db.products.findMany(query);
const hasMore = products.length > limit;
if (hasMore) products.pop(); // Remove the extra item
res.json({
data: products,
cursor: products[products.length - 1]?.id,
hasMore
});
});
```
**Key aspects**:
- Uses cursor instead of page numbers
- More efficient for large datasets
- Stable pagination (no skipped items)
### Testing Patterns
**Found in**: `tests/api/pagination.test.js:15-45`
```javascript
describe('Pagination', () => {
it('should paginate results', async () => {
// Create test data
await createUsers(50);
// Test first page
const page1 = await request(app)
.get('/users?page=1&limit=20')
.expect(200);
expect(page1.body.data).toHaveLength(20);
expect(page1.body.pagination.total).toBe(50);
expect(page1.body.pagination.pages).toBe(3);
});
});
```
### Which Pattern to Use?
- **Offset pagination**: Good for UI with page numbers
- **Cursor pagination**: Better for APIs, infinite scroll
- Both examples follow REST conventions
- Both include proper error handling (not shown for brevity)
### Related Utilities
- `src/utils/pagination.js:12` - Shared pagination helpers
- `src/middleware/validate.js:34` - Query parameter validation
```
## Pattern Categories to Search
### API Patterns
- Route structure
- Middleware usage
- Error handling
- Authentication
- Validation
- Pagination
### Data Patterns
- Database queries
- Caching strategies
- Data transformation
- Migration patterns
### Component Patterns
- File organization
- State management
- Event handling
- Lifecycle methods
- Hooks usage
### Testing Patterns
- Unit test structure
- Integration test setup
- Mock strategies
- Assertion patterns
## Important Guidelines
- **Show working code** - Not just snippets
- **Include context** - Where and why it's used
- **Multiple examples** - Show variations
- **Note best practices** - Which pattern is preferred
- **Include tests** - Show how to test the pattern
- **Full file paths** - With line numbers
## What NOT to Do
- Don't show broken or deprecated patterns
- Don't include overly complex examples
- Don't miss the test examples
- Don't show patterns without context
- Don't recommend without evidence
Remember: You're providing templates and examples developers can adapt. Show them how it's been done successfully before.

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# Commit Changes
You are tasked with creating git commits for the changes made during this session.
## Process:
1. **Think about what changed:**
- Review the conversation history and understand what was accomplished
- Run `git status` to see current changes
- Run `git diff` to understand the modifications
- Consider whether changes should be one commit or multiple logical commits
2. **Plan your commit(s):**
- Identify which files belong together
- Draft clear, descriptive commit messages
- Use imperative mood in commit messages
- Focus on why the changes were made, not just what
3. **Present your plan to the user:**
- List the files you plan to add for each commit
- Show the commit message(s) you'll use
- Ask: "I plan to create [N] commit(s) with these changes. Shall I proceed?"
4. **Execute upon confirmation:**
- Use `git add` with specific files (never use `-A` or `.`)
- Create commits with your planned messages
- Show the result with `git log --oneline -n [number]`
## Important:
- **NEVER add co-author information or Claude attribution**
- Commits should be authored solely by the user
- Do not include any "Generated with Claude" messages
- Do not add "Co-Authored-By" lines
- Write commit messages as if the user wrote them
## Remember:
- You have the full context of what was done in this session
- Group related changes together
- Keep commits focused and atomic when possible
- The user trusts your judgment - they asked you to commit

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# Implementation Plan
You are tasked with creating detailed implementation plans through an interactive, iterative process. You should be skeptical, thorough, and work collaboratively with the user to produce high-quality technical specifications.
## Initial Response
When this command is invoked:
1. **Check if parameters were provided**:
- If a file path or ticket reference was provided as a parameter, skip the default message
- Immediately read any provided files FULLY
- Begin the research process
2. **If no parameters provided**, respond with:
```
I'll help you create a detailed implementation plan. Let me start by understanding what we're building.
Please provide:
1. The task/ticket description (or reference to a ticket file)
2. Any relevant context, constraints, or specific requirements
3. Links to related research or previous implementations
I'll analyze this information and work with you to create a comprehensive plan.
Tip: You can also invoke this command with a ticket file directly: `/create_plan thoughts/allison/tickets/eng_1234.md`
For deeper analysis, try: `/create_plan think deeply about thoughts/allison/tickets/eng_1234.md`
```
Then wait for the user's input.
## Process Steps
### Step 1: Context Gathering & Initial Analysis
1. **Read all mentioned files immediately and FULLY**:
- Ticket files (e.g., `thoughts/allison/tickets/eng_1234.md`)
- Research documents
- Related implementation plans
- Any JSON/data files mentioned
- **IMPORTANT**: Use the Read tool WITHOUT limit/offset parameters to read entire files
- **CRITICAL**: DO NOT spawn sub-tasks before reading these files yourself in the main context
- **NEVER** read files partially - if a file is mentioned, read it completely
2. **Spawn initial research tasks to gather context**:
Before asking the user any questions, use specialized agents to research in parallel:
- Use the **codebase-locator** agent to find all files related to the ticket/task
- Use the **codebase-analyzer** agent to understand how the current implementation works
These agents will:
- Find relevant source files, configs, and tests
- Identify the specific directories to focus on (e.g., if WUI is mentioned, they'll focus on humanlayer-wui/)
- Trace data flow and key functions
- Return detailed explanations with file:line references
3. **Read all files identified by research tasks**:
- After research tasks complete, read ALL files they identified as relevant
- Read them FULLY into the main context
- This ensures you have complete understanding before proceeding
4. **Analyze and verify understanding**:
- Cross-reference the ticket requirements with actual code
- Identify any discrepancies or misunderstandings
- Note assumptions that need verification
- Determine true scope based on codebase reality
5. **Present informed understanding and focused questions**:
```
Based on the ticket and my research of the codebase, I understand we need to [accurate summary].
I've found that:
- [Current implementation detail with file:line reference]
- [Relevant pattern or constraint discovered]
- [Potential complexity or edge case identified]
Questions that my research couldn't answer:
- [Specific technical question that requires human judgment]
- [Business logic clarification]
- [Design preference that affects implementation]
```
Only ask questions that you genuinely cannot answer through code investigation.
### Step 2: Research & Discovery
After getting initial clarifications:
1. **If the user corrects any misunderstanding**:
- DO NOT just accept the correction
- Spawn new research tasks to verify the correct information
- Read the specific files/directories they mention
- Only proceed once you've verified the facts yourself
2. **Create a research todo list** using TodoWrite to track exploration tasks
3. **Spawn parallel sub-tasks for comprehensive research**:
- Create multiple Task agents to research different aspects concurrently
- Use the right agent for each type of research:
**For deeper investigation:**
- **codebase-locator** - To find more specific files (e.g., "find all files that handle [specific component]")
- **codebase-analyzer** - To understand implementation details (e.g., "analyze how [system] works")
- **codebase-pattern-finder** - To find similar features we can model after
**For historical context:**
- **thoughts-locator** - To find any research, plans, or decisions about this area
- **thoughts-analyzer** - To extract key insights from the most relevant documents
**For related tickets:**
- **linear-searcher** - To find similar issues or past implementations
Each agent knows how to:
- Find the right files and code patterns
- Identify conventions and patterns to follow
- Look for integration points and dependencies
- Return specific file:line references
- Find tests and examples
4. **Wait for ALL sub-tasks to complete** before proceeding
5. **Present findings and design options**:
```
Based on my research, here's what I found:
**Current State:**
- [Key discovery about existing code]
- [Pattern or convention to follow]
**Design Options:**
1. [Option A] - [pros/cons]
2. [Option B] - [pros/cons]
**Open Questions:**
- [Technical uncertainty]
- [Design decision needed]
Which approach aligns best with your vision?
```
### Step 3: Plan Structure Development
Once aligned on approach:
1. **Create initial plan outline**:
```
Here's my proposed plan structure:
## Overview
[1-2 sentence summary]
## Implementation Phases:
1. [Phase name] - [what it accomplishes]
2. [Phase name] - [what it accomplishes]
3. [Phase name] - [what it accomplishes]
Does this phasing make sense? Should I adjust the order or granularity?
```
2. **Get feedback on structure** before writing details
### Step 4: Detailed Plan Writing
After structure approval:
1. **Write the plan** to `thoughts/shared/plans/{descriptive_name}.md`
2. **Use this template structure**:
````markdown
# [Feature/Task Name] Implementation Plan
## Overview
[Brief description of what we're implementing and why]
## Current State Analysis
[What exists now, what's missing, key constraints discovered]
## Desired End State
[A Specification of the desired end state after this plan is complete, and how to verify it]
### Key Discoveries:
- [Important finding with file:line reference]
- [Pattern to follow]
- [Constraint to work within]
## What We're NOT Doing
[Explicitly list out-of-scope items to prevent scope creep]
## Implementation Approach
[High-level strategy and reasoning]
## Phase 1: [Descriptive Name]
### Overview
[What this phase accomplishes]
### Changes Required:
#### 1. [Component/File Group]
**File**: `path/to/file.ext`
**Changes**: [Summary of changes]
```[language]
// Specific code to add/modify
```
````
### Success Criteria:
#### Automated Verification:
- [ ] Migration applies cleanly: `make migrate`
- [ ] Unit tests pass: `make test-component`
- [ ] Type checking passes: `npm run typecheck`
- [ ] Linting passes: `make lint`
- [ ] Integration tests pass: `make test-integration`
#### Manual Verification:
- [ ] Feature works as expected when tested via UI
- [ ] Performance is acceptable under load
- [ ] Edge case handling verified manually
- [ ] No regressions in related features
---
## Phase 2: [Descriptive Name]
[Similar structure with both automated and manual success criteria...]
---
## Testing Strategy
### Unit Tests:
- [What to test]
- [Key edge cases]
### Integration Tests:
- [End-to-end scenarios]
### Manual Testing Steps:
1. [Specific step to verify feature]
2. [Another verification step]
3. [Edge case to test manually]
## Performance Considerations
[Any performance implications or optimizations needed]
## Migration Notes
[If applicable, how to handle existing data/systems]
## References
- Original ticket: `thoughts/allison/tickets/eng_XXXX.md`
- Related research: `thoughts/shared/research/[relevant].md`
- Similar implementation: `[file:line]`
```
### Step 5: Sync and Review
1. **Sync the thoughts directory**:
- Run `humanlayer thoughts sync` to sync the newly created plan
- This ensures the plan is properly indexed and available
2. **Present the draft plan location**:
```
I've created the initial implementation plan at:
`thoughts/shared/plans/[filename].md`
Please review it and let me know:
- Are the phases properly scoped?
- Are the success criteria specific enough?
- Any technical details that need adjustment?
- Missing edge cases or considerations?
````
3. **Iterate based on feedback** - be ready to:
- Add missing phases
- Adjust technical approach
- Clarify success criteria (both automated and manual)
- Add/remove scope items
- After making changes, run `humanlayer thoughts sync` again
4. **Continue refining** until the user is satisfied
## Important Guidelines
1. **Be Skeptical**:
- Question vague requirements
- Identify potential issues early
- Ask "why" and "what about"
- Don't assume - verify with code
2. **Be Interactive**:
- Don't write the full plan in one shot
- Get buy-in at each major step
- Allow course corrections
- Work collaboratively
3. **Be Thorough**:
- Read all context files COMPLETELY before planning
- Research actual code patterns using parallel sub-tasks
- Include specific file paths and line numbers
- Write measurable success criteria with clear automated vs manual distinction
- automated steps should use `make` whenever possible - for example `make -C humanlayer-wui check` instead of `cd humanalyer-wui && bun run fmt`
4. **Be Practical**:
- Focus on incremental, testable changes
- Consider migration and rollback
- Think about edge cases
- Include "what we're NOT doing"
5. **Track Progress**:
- Use TodoWrite to track planning tasks
- Update todos as you complete research
- Mark planning tasks complete when done
6. **No Open Questions in Final Plan**:
- If you encounter open questions during planning, STOP
- Research or ask for clarification immediately
- Do NOT write the plan with unresolved questions
- The implementation plan must be complete and actionable
- Every decision must be made before finalizing the plan
## Success Criteria Guidelines
**Always separate success criteria into two categories:**
1. **Automated Verification** (can be run by execution agents):
- Commands that can be run: `make test`, `npm run lint`, etc.
- Specific files that should exist
- Code compilation/type checking
- Automated test suites
2. **Manual Verification** (requires human testing):
- UI/UX functionality
- Performance under real conditions
- Edge cases that are hard to automate
- User acceptance criteria
**Format example:**
```markdown
### Success Criteria:
#### Automated Verification:
- [ ] Database migration runs successfully: `make migrate`
- [ ] All unit tests pass: `go test ./...`
- [ ] No linting errors: `golangci-lint run`
- [ ] API endpoint returns 200: `curl localhost:8080/api/new-endpoint`
#### Manual Verification:
- [ ] New feature appears correctly in the UI
- [ ] Performance is acceptable with 1000+ items
- [ ] Error messages are user-friendly
- [ ] Feature works correctly on mobile devices
````
## Common Patterns
### For Database Changes:
- Start with schema/migration
- Add store methods
- Update business logic
- Expose via API
- Update clients
### For New Features:
- Research existing patterns first
- Start with data model
- Build backend logic
- Add API endpoints
- Implement UI last
### For Refactoring:
- Document current behavior
- Plan incremental changes
- Maintain backwards compatibility
- Include migration strategy
## Sub-task Spawning Best Practices
When spawning research sub-tasks:
1. **Spawn multiple tasks in parallel** for efficiency
2. **Each task should be focused** on a specific area
3. **Provide detailed instructions** including:
- Exactly what to search for
- Which directories to focus on
- What information to extract
- Expected output format
4. **Specify read-only tools** to use
5. **Request specific file:line references** in responses
6. **Wait for all tasks to complete** before synthesizing
7. **Verify sub-task results**:
- If a sub-task returns unexpected results, spawn follow-up tasks
- Cross-check findings against the actual codebase
- Don't accept results that seem incorrect
Example of spawning multiple tasks:
```python
# Spawn these tasks concurrently:
tasks = [
Task("Research database schema", db_research_prompt),
Task("Find API patterns", api_research_prompt),
Task("Investigate UI components", ui_research_prompt),
Task("Check test patterns", test_research_prompt)
]
```
## Example Interaction Flow
```
User: /implementation_plan
Assistant: I'll help you create a detailed implementation plan...
User: We need to add parent-child tracking for Claude sub-tasks. See thoughts/allison/tickets/eng_1478.md
Assistant: Let me read that ticket file completely first...
[Reads file fully]
Based on the ticket, I understand we need to track parent-child relationships for Claude sub-task events in the hld daemon. Before I start planning, I have some questions...
[Interactive process continues...]
```

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2. set up worktree for implementation:
2a. read `hack/create_worktree.sh` and create a new worktree with the Linear branch name: `./hack/create_worktree.sh ENG-XXXX BRANCH_NAME`
3. determine required data:
branch name
path to plan file (use relative path only)
launch prompt
command to run
**IMPORTANT PATH USAGE:**
- The thoughts/ directory is synced between the main repo and worktrees
- Always use ONLY the relative path starting with `thoughts/shared/...` without any directory prefix
- Example: `thoughts/shared/plans/fix-mcp-keepalive-proper.md` (not the full absolute path)
- This works because thoughts are synced and accessible from the worktree
3a. confirm with the user by sending a message to the Human
```
based on the input, I plan to create a worktree with the following details:
worktree path: ~/wt/humanlayer/ENG-XXXX
branch name: BRANCH_NAME
path to plan file: $FILEPATH
launch prompt:
/implement_plan at $FILEPATH and when you are done implementing and all tests pass, read ./claude/commands/commit.md and create a commit, then read ./claude/commands/describe_pr.md and create a PR, then add a comment to the Linear ticket with the PR link
command to run:
humanlayer launch --model opus -w ~/wt/humanlayer/ENG-XXXX "/implement_plan at $FILEPATH and when you are done implementing and all tests pass, read ./claude/commands/commit.md and create a commit, then read ./claude/commands/describe_pr.md and create a PR, then add a comment to the Linear ticket with the PR link"
```
incorporate any user feedback then:
4. launch implementation session: `humanlayer launch --model opus -w ~/wt/humanlayer/ENG-XXXX "/implement_plan at $FILEPATH and when you are done implementing and all tests pass, read ./claude/commands/commit.md and create a commit, then read ./claude/commands/describe_pr.md and create a PR, then add a comment to the Linear ticket with the PR link"`

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# Debug
You are tasked with helping debug issues during manual testing or implementation. This command allows you to investigate problems by examining logs, database state, and git history without editing files. Think of this as a way to bootstrap a debugging session without using the primary window's context.
## Initial Response
When invoked WITH a plan/ticket file:
```
I'll help debug issues with [file name]. Let me understand the current state.
What specific problem are you encountering?
- What were you trying to test/implement?
- What went wrong?
- Any error messages?
I'll investigate the logs, database, and git state to help figure out what's happening.
```
When invoked WITHOUT parameters:
```
I'll help debug your current issue.
Please describe what's going wrong:
- What are you working on?
- What specific problem occurred?
- When did it last work?
I can investigate logs, database state, and recent changes to help identify the issue.
```
## Environment Information
You have access to these key locations and tools:
**Logs** (automatically created by `make daemon` and `make wui`):
- MCP logs: `~/.humanlayer/logs/mcp-claude-approvals-*.log`
- Combined WUI/Daemon logs: `~/.humanlayer/logs/wui-${BRANCH_NAME}/codelayer.log`
- First line shows: `[timestamp] starting [service] in [directory]`
**Database**:
- Location: `~/.humanlayer/daemon-{BRANCH_NAME}.db`
- SQLite database with sessions, events, approvals, etc.
- Can query directly with `sqlite3`
**Git State**:
- Check current branch, recent commits, uncommitted changes
- Similar to how `commit` and `describe_pr` commands work
**Service Status**:
- Check if daemon is running: `ps aux | grep hld`
- Check if WUI is running: `ps aux | grep wui`
- Socket exists: `~/.humanlayer/daemon.sock`
## Process Steps
### Step 1: Understand the Problem
After the user describes the issue:
1. **Read any provided context** (plan or ticket file):
- Understand what they're implementing/testing
- Note which phase or step they're on
- Identify expected vs actual behavior
2. **Quick state check**:
- Current git branch and recent commits
- Any uncommitted changes
- When the issue started occurring
### Step 2: Investigate the Issue
Spawn parallel Task agents for efficient investigation:
```
Task 1 - Check Recent Logs:
Find and analyze the most recent logs for errors:
1. Find latest daemon log: ls -t ~/.humanlayer/logs/daemon-*.log | head -1
2. Find latest WUI log: ls -t ~/.humanlayer/logs/wui-*.log | head -1
3. Search for errors, warnings, or issues around the problem timeframe
4. Note the working directory (first line of log)
5. Look for stack traces or repeated errors
Return: Key errors/warnings with timestamps
```
```
Task 2 - Database State:
Check the current database state:
1. Connect to database: sqlite3 ~/.humanlayer/daemon.db
2. Check schema: .tables and .schema for relevant tables
3. Query recent data:
- SELECT * FROM sessions ORDER BY created_at DESC LIMIT 5;
- SELECT * FROM conversation_events WHERE created_at > datetime('now', '-1 hour');
- Other queries based on the issue
4. Look for stuck states or anomalies
Return: Relevant database findings
```
```
Task 3 - Git and File State:
Understand what changed recently:
1. Check git status and current branch
2. Look at recent commits: git log --oneline -10
3. Check uncommitted changes: git diff
4. Verify expected files exist
5. Look for any file permission issues
Return: Git state and any file issues
```
### Step 3: Present Findings
Based on the investigation, present a focused debug report:
```markdown
## Debug Report
### What's Wrong
[Clear statement of the issue based on evidence]
### Evidence Found
**From Logs** (`~/.humanlayer/logs/`):
- [Error/warning with timestamp]
- [Pattern or repeated issue]
**From Database**:
```sql
-- Relevant query and result
[Finding from database]
```
**From Git/Files**:
- [Recent changes that might be related]
- [File state issues]
### Root Cause
[Most likely explanation based on evidence]
### Next Steps
1. **Try This First**:
```bash
[Specific command or action]
```
2. **If That Doesn't Work**:
- Restart services: `make daemon` and `make wui`
- Check browser console for WUI errors
- Run with debug: `HUMANLAYER_DEBUG=true make daemon`
### Can't Access?
Some issues might be outside my reach:
- Browser console errors (F12 in browser)
- MCP server internal state
- System-level issues
Would you like me to investigate something specific further?
```
## Important Notes
- **Focus on manual testing scenarios** - This is for debugging during implementation
- **Always require problem description** - Can't debug without knowing what's wrong
- **Read files completely** - No limit/offset when reading context
- **Think like `commit` or `describe_pr`** - Understand git state and changes
- **Guide back to user** - Some issues (browser console, MCP internals) are outside reach
- **No file editing** - Pure investigation only
## Quick Reference
**Find Latest Logs**:
```bash
ls -t ~/.humanlayer/logs/daemon-*.log | head -1
ls -t ~/.humanlayer/logs/wui-*.log | head -1
```
**Database Queries**:
```bash
sqlite3 ~/.humanlayer/daemon.db ".tables"
sqlite3 ~/.humanlayer/daemon.db ".schema sessions"
sqlite3 ~/.humanlayer/daemon.db "SELECT * FROM sessions ORDER BY created_at DESC LIMIT 5;"
```
**Service Check**:
```bash
ps aux | grep hld # Is daemon running?
ps aux | grep wui # Is WUI running?
```
**Git State**:
```bash
git status
git log --oneline -10
git diff
```
Remember: This command helps you investigate without burning the primary window's context. Perfect for when you hit an issue during manual testing and need to dig into logs, database, or git state.

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@@ -1,71 +0,0 @@
# Generate PR Description
You are tasked with generating a comprehensive pull request description following the repository's standard template.
## Steps to follow:
1. **Read the PR description template:**
- First, check if `thoughts/shared/pr_description.md` exists
- If it doesn't exist, inform the user that their `humanlayer thoughts` setup is incomplete and they need to create a PR description template at `thoughts/shared/pr_description.md`
- Read the template carefully to understand all sections and requirements
2. **Identify the PR to describe:**
- Check if the current branch has an associated PR: `gh pr view --json url,number,title,state 2>/dev/null`
- If no PR exists for the current branch, or if on main/master, list open PRs: `gh pr list --limit 10 --json number,title,headRefName,author`
- Ask the user which PR they want to describe
3. **Check for existing description:**
- Check if `thoughts/shared/prs/{number}_description.md` already exists
- If it exists, read it and inform the user you'll be updating it
- Consider what has changed since the last description was written
4. **Gather comprehensive PR information:**
- Get the full PR diff: `gh pr diff {number}`
- If you get an error about no default remote repository, instruct the user to run `gh repo set-default` and select the appropriate repository
- Get commit history: `gh pr view {number} --json commits`
- Review the base branch: `gh pr view {number} --json baseRefName`
- Get PR metadata: `gh pr view {number} --json url,title,number,state`
5. **Analyze the changes thoroughly:** (ultrathink about the code changes, their architectural implications, and potential impacts)
- Read through the entire diff carefully
- For context, read any files that are referenced but not shown in the diff
- Understand the purpose and impact of each change
- Identify user-facing changes vs internal implementation details
- Look for breaking changes or migration requirements
6. **Handle verification requirements:**
- Look for any checklist items in the "How to verify it" section of the template
- For each verification step:
- If it's a command you can run (like `make check test`, `npm test`, etc.), run it
- If it passes, mark the checkbox as checked: `- [x]`
- If it fails, keep it unchecked and note what failed: `- [ ]` with explanation
- If it requires manual testing (UI interactions, external services), leave unchecked and note for user
- Document any verification steps you couldn't complete
7. **Generate the description:**
- Fill out each section from the template thoroughly:
- Answer each question/section based on your analysis
- Be specific about problems solved and changes made
- Focus on user impact where relevant
- Include technical details in appropriate sections
- Write a concise changelog entry
- Ensure all checklist items are addressed (checked or explained)
8. **Save and sync the description:**
- Write the completed description to `thoughts/shared/prs/{number}_description.md`
- Run `humanlayer thoughts sync` to sync the thoughts directory
- Show the user the generated description
9. **Update the PR:**
- Update the PR description directly: `gh pr edit {number} --body-file thoughts/shared/prs/{number}_description.md`
- Confirm the update was successful
- If any verification steps remain unchecked, remind the user to complete them before merging
## Important notes:
- This command works across different repositories - always read the local template
- Be thorough but concise - descriptions should be scannable
- Focus on the "why" as much as the "what"
- Include any breaking changes or migration notes prominently
- If the PR touches multiple components, organize the description accordingly
- Always attempt to run verification commands when possible
- Clearly communicate which verification steps need manual testing

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@@ -1,65 +0,0 @@
# Implement Plan
You are tasked with implementing an approved technical plan from `thoughts/shared/plans/`. These plans contain phases with specific changes and success criteria.
## Getting Started
When given a plan path:
- Read the plan completely and check for any existing checkmarks (- [x])
- Read the original ticket and all files mentioned in the plan
- **Read files fully** - never use limit/offset parameters, you need complete context
- Think deeply about how the pieces fit together
- Create a todo list to track your progress
- Start implementing if you understand what needs to be done
If no plan path provided, ask for one.
## Implementation Philosophy
Plans are carefully designed, but reality can be messy. Your job is to:
- Follow the plan's intent while adapting to what you find
- Implement each phase fully before moving to the next
- Verify your work makes sense in the broader codebase context
- Update checkboxes in the plan as you complete sections
When things don't match the plan exactly, think about why and communicate clearly. The plan is your guide, but your judgment matters too.
If you encounter a mismatch:
- STOP and think deeply about why the plan can't be followed
- Present the issue clearly:
```
Issue in Phase [N]:
Expected: [what the plan says]
Found: [actual situation]
Why this matters: [explanation]
How should I proceed?
```
## Verification Approach
After implementing a phase:
- Run the success criteria checks (usually `cargo test -p [crate_name]` covers everything)
- Fix any issues before proceeding
- Update your progress in both the plan and your todos
- Check off completed items in the plan file itself using Edit
Don't let verification interrupt your flow - batch it at natural stopping points.
## If You Get Stuck
When something isn't working as expected:
- First, make sure you've read and understood all the relevant code
- Consider if the codebase has evolved since the plan was written
- Present the mismatch clearly and ask for guidance
Use sub-tasks sparingly - mainly for targeted debugging or exploring unfamiliar territory.
## Resuming Work
If the plan has existing checkmarks:
- Trust that completed work is done
- Pick up from the first unchecked item
- Verify previous work only if something seems off
Remember: You're implementing a solution, not just checking boxes. Keep the end goal in mind and maintain forward momentum.

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# Local Review
You are tasked with setting up a local review environment for a colleague's branch. This involves creating a worktree, setting up dependencies, and launching a new Claude Code session.
## Process
When invoked with a parameter like `gh_username:branchName`:
1. **Parse the input**:
- Extract GitHub username and branch name from the format `username:branchname`
- If no parameter provided, ask for it in the format: `gh_username:branchName`
2. **Extract ticket information**:
- Look for ticket numbers in the branch name (e.g., `eng-1696`, `ENG-1696`)
- Use this to create a short worktree directory name
- If no ticket found, use a sanitized version of the branch name
3. **Set up the remote and worktree**:
- Check if the remote already exists using `git remote -v`
- If not, add it: `git remote add USERNAME git@github.com:USERNAME/humanlayer`
- Fetch from the remote: `git fetch USERNAME`
- Create worktree: `git worktree add -b BRANCHNAME ~/wt/humanlayer/SHORT_NAME USERNAME/BRANCHNAME`
4. **Configure the worktree**:
- Copy Claude settings: `cp .claude/settings.local.json WORKTREE/.claude/`
- Run setup: `make -C WORKTREE setup`
- Initialize thoughts: `cd WORKTREE && npx humanlayer thoughts init --directory humanlayer`
## Error Handling
- If worktree already exists, inform the user they need to remove it first
- If remote fetch fails, check if the username/repo exists
- If setup fails, provide the error but continue with the launch
## Example Usage
```
/local_review samdickson22:sam/eng-1696-hotkey-for-yolo-mode
```
This will:
- Add 'samdickson22' as a remote
- Create worktree at `~/wt/humanlayer/eng-1696`
- Set up the environment

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@@ -1,28 +0,0 @@
## PART I - IF A TICKET IS MENTIONED
0c. use `linear` cli to fetch the selected item into thoughts with the ticket number - ./thoughts/shared/tickets/ENG-xxxx.md
0d. read the ticket and all comments to understand the implementation plan and any concerns
## PART I - IF NO TICKET IS MENTIOND
0. read .claude/commands/linear.md
0a. fetch the top 10 priority items from linear in status "ready for dev" using the MCP tools, noting all items in the `links` section
0b. select the highest priority SMALL or XS issue from the list (if no SMALL or XS issues exist, EXIT IMMEDIATELY and inform the user)
0c. use `linear` cli to fetch the selected item into thoughts with the ticket number - ./thoughts/shared/tickets/ENG-xxxx.md
0d. read the ticket and all comments to understand the implementation plan and any concerns
## PART II - NEXT STEPS
think deeply
1. move the item to "in dev" using the MCP tools
1a. identify the linked implementation plan document from the `links` section
1b. if no plan exists, move the ticket back to "ready for spec" and EXIT with an explanation
think deeply about the implementation
2. set up worktree for implementation:
2a. read `hack/create_worktree.sh` and create a new worktree with the Linear branch name: `./hack/create_worktree.sh ENG-XXXX BRANCH_NAME`
2b. launch implementation session: `npx humanlayer launch --model opus -w ~/wt/humanlayer/ENG-XXXX "/implement_plan and when you are done implementing and all tests pass, read ./claude/commands/commit.md and create a commit, then read ./claude/commands/describe_pr.md and create a PR, then add a comment to the Linear ticket with the PR link"`
think deeply, use TodoWrite to track your tasks. When fetching from linear, get the top 10 items by priority but only work on ONE item - specifically the highest priority SMALL or XS sized issue.

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@@ -1,30 +0,0 @@
## PART I - IF A TICKET IS MENTIONED
0c. use `linear` cli to fetch the selected item into thoughts with the ticket number - ./thoughts/shared/tickets/ENG-xxxx.md
0d. read the ticket and all comments to learn about past implementations and research, and any questions or concerns about them
### PART I - IF NO TICKET IS MENTIONED
0. read .claude/commands/linear.md
0a. fetch the top 10 priority items from linear in status "ready for spec" using the MCP tools, noting all items in the `links` section
0b. select the highest priority SMALL or XS issue from the list (if no SMALL or XS issues exist, EXIT IMMEDIATELY and inform the user)
0c. use `linear` cli to fetch the selected item into thoughts with the ticket number - ./thoughts/shared/tickets/ENG-xxxx.md
0d. read the ticket and all comments to learn about past implementations and research, and any questions or concerns about them
### PART II - NEXT STEPS
think deeply
1. move the item to "plan in progress" using the MCP tools
1a. read ./claude/commands/create_plan.md
1b. determine if the item has a linked implementation plan document based on the `links` section
1d. if the plan exists, you're done, respond with a link to the ticket
1e. if the research is insufficient or has unaswered questions, create a new plan document following the instructions in ./claude/commands/create_plan.md
think deeply
2. when the plan is complete, `humanlayer thoughts sync` and attach the doc to the ticket using the MCP tools and create a terse comment with a link to it (re-read .claude/commands/linear.md if needed)
2a. move the item to "plan in review" using the MCP tools
think deeply, use TodoWrite to track your tasks. When fetching from linear, get the top 10 items by priority but only work on ONE item - specifically the highest priority SMALL or XS sized issue.

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## PART I - IF A LINEAR TICKET IS MENTIONED
0c. use `linear` cli to fetch the selected item into thoughts with the ticket number - ./thoughts/shared/tickets/ENG-xxxx.md
0d. read the ticket and all comments to understand what research is needed and any previous attempts
## PART I - IF NO TICKET IS MENTIONED
0. read .claude/commands/linear.md
0a. fetch the top 10 priority items from linear in status "research needed" using the MCP tools, noting all items in the `links` section
0b. select the highest priority SMALL or XS issue from the list (if no SMALL or XS issues exist, EXIT IMMEDIATELY and inform the user)
0c. use `linear` cli to fetch the selected item into thoughts with the ticket number - ./thoughts/shared/tickets/ENG-xxxx.md
0d. read the ticket and all comments to understand what research is needed and any previous attempts
## PART II - NEXT STEPS
think deeply
1. move the item to "research in progress" using the MCP tools
1a. read any linked documents in the `links` section to understand context
1b. if insufficient information to conduct research, add a comment asking for clarification and move back to "research needed"
think deeply about the research needs
2. conduct the research:
2a. read .claude/commands/research_codebase.md for guidance on effective codebase research
2b. if the linear comments suggest web research is needed, use WebSearch to research external solutions, APIs, or best practices
2c. search the codebase for relevant implementations and patterns
2d. examine existing similar features or related code
2e. identify technical constraints and opportunities
2f. Be unbiased - don't think too much about an ideal implementation plan, just document all related files and how the systems work today
2g. document findings in a new thoughts document: `thoughts/shared/research/ENG-XXXX_research.md`
think deeply about the findings
3. synthesize research into actionable insights:
3a. summarize key findings and technical decisions
3b. identify potential implementation approaches
3c. note any risks or concerns discovered
3d. run `humanlayer thoughts sync` to save the research
4. update the ticket:
4a. attach the research document to the ticket using the MCP tools with proper link formatting
4b. add a comment summarizing the research outcomes
4c. move the item to "research in review" using the MCP tools
think deeply, use TodoWrite to track your tasks. When fetching from linear, get the top 10 items by priority but only work on ONE item - specifically the highest priority issue.

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@@ -1,172 +0,0 @@
# Research Codebase
You are tasked with conducting comprehensive research across the codebase to answer user questions by spawning parallel sub-agents and synthesizing their findings.
## Initial Setup:
When this command is invoked, respond with:
```
I'm ready to research the codebase. Please provide your research question or area of interest, and I'll analyze it thoroughly by exploring relevant components and connections.
```
Then wait for the user's research query.
## Steps to follow after receiving the research query:
1. **Read any directly mentioned files first:**
- If the user mentions specific files (crates, docs, JSON), read them FULLY first
- **IMPORTANT**: Use the Read tool WITHOUT limit/offset parameters to read entire files
- **CRITICAL**: Read these files yourself in the main context before spawning any sub-tasks
- This ensures you have full context before decomposing the research
2. **Analyze and decompose the research question:**
- Break down the user's query into composable research areas
- Take time to ultrathink about the underlying patterns, connections, and architectural implications the user might be seeking
- Identify specific components, patterns, or concepts to investigate
- Create a research plan using TodoWrite to track all subtasks
- Consider which directories, files, or architectural patterns are relevant
3. **Spawn parallel sub-agent tasks for comprehensive research:**
- Create multiple Task agents to research different aspects concurrently
- We now have specialized agents that know how to do specific research tasks:
**For codebase research:**
- Use the **codebase-locator** agent to find WHERE files and components live
- Use the **codebase-analyzer** agent to understand HOW specific code works
The key is to use these agents intelligently:
- Start with locator agents to find what exists
- Then use analyzer agents on the most promising findings
- Run multiple agents in parallel when they're searching for different things
- Each agent knows its job - just tell it what you're looking for
- Don't write detailed prompts about HOW to search - the agents already know
4. **Wait for all sub-agents to complete and synthesize findings:**
- IMPORTANT: Wait for ALL sub-agent tasks to complete before proceeding
- Compile all sub-agent results (both codebase and thoughts findings)
- Prioritize live codebase findings as primary source of truth
- Use thoughts/ findings as supplementary historical context
- Connect findings across different components
- Include specific file paths and line numbers for reference
- Verify all thoughts/ paths are correct (e.g., thoughts/allison/ not thoughts/shared/ for personal files)
- Highlight patterns, connections, and architectural decisions
- Answer the user's specific questions with concrete evidence
5. **Gather metadata for the research document:**
- Run the `zed/script/spec_metadata.sh` script to generate all relevant metadata
- Filename: `thoughts/shared/research/YYYY-MM-DD_HH-MM-SS_topic.md`
6. **Generate research document:**
- Use the metadata gathered in step 4
- Structure the document with YAML frontmatter followed by content:
```markdown
---
date: [Current date and time with timezone in ISO format]
researcher: [Researcher name from thoughts status]
git_commit: [Current commit hash]
branch: [Current branch name]
repository: [Repository name]
topic: "[User's Question/Topic]"
tags: [research, codebase, relevant-component-names]
status: complete
last_updated: [Current date in YYYY-MM-DD format]
last_updated_by: [Researcher name]
---
# Research: [User's Question/Topic]
**Date**: [Current date and time with timezone from step 4]
**Researcher**: [Researcher name from thoughts status]
**Git Commit**: [Current commit hash from step 4]
**Branch**: [Current branch name from step 4]
**Repository**: [Repository name]
## Research Question
[Original user query]
## Summary
[High-level findings answering the user's question]
## Detailed Findings
### [Component/Area 1]
- Finding with reference ([file.ext:line](link))
- Connection to other components
- Implementation details
### [Component/Area 2]
...
## Code References
- `path/to/file.py:123` - Description of what's there
- `another/file.ts:45-67` - Description of the code block
## Architecture Insights
[Patterns, conventions, and design decisions discovered]
## Historical Context (from thoughts/)
[Relevant insights from thoughts/ directory with references]
- `thoughts/shared/something.md` - Historical decision about X
- `thoughts/local/notes.md` - Past exploration of Y
Note: Paths exclude "searchable/" even if found there
## Related Research
[Links to other research documents in thoughts/shared/research/]
## Open Questions
[Any areas that need further investigation]
```
7. **Add GitHub permalinks (if applicable):**
- Check if on main branch or if commit is pushed: `git branch --show-current` and `git status`
- If on main/master or pushed, generate GitHub permalinks:
- Get repo info: `gh repo view --json owner,name`
- Create permalinks: `https://github.com/{owner}/{repo}/blob/{commit}/{file}#L{line}`
- Replace local file references with permalinks in the document
8. **Handle follow-up questions:**
- If the user has follow-up questions, append to the same research document
- Update the frontmatter fields `last_updated` and `last_updated_by` to reflect the update
- Add `last_updated_note: "Added follow-up research for [brief description]"` to frontmatter
- Add a new section: `## Follow-up Research [timestamp]`
- Spawn new sub-agents as needed for additional investigation
- Continue updating the document and syncing
## Important notes:
- Always use parallel Task agents to maximize efficiency and minimize context usage
- Always run fresh codebase research - never rely solely on existing research documents
- The thoughts/ directory provides historical context to supplement live findings
- Focus on finding concrete file paths and line numbers for developer reference
- Research documents should be self-contained with all necessary context
- Each sub-agent prompt should be specific and focused on read-only operations
- Consider cross-component connections and architectural patterns
- Include temporal context (when the research was conducted)
- Link to GitHub when possible for permanent references
- Keep the main agent focused on synthesis, not deep file reading
- Encourage sub-agents to find examples and usage patterns, not just definitions
- Explore all of thoughts/ directory, not just research subdirectory
- **File reading**: Always read mentioned files FULLY (no limit/offset) before spawning sub-tasks
- **Critical ordering**: Follow the numbered steps exactly
- ALWAYS read mentioned files first before spawning sub-tasks (step 1)
- ALWAYS wait for all sub-agents to complete before synthesizing (step 4)
- ALWAYS gather metadata before writing the document (step 5 before step 6)
- NEVER write the research document with placeholder values
- **Frontmatter consistency**:
- Always include frontmatter at the beginning of research documents
- Keep frontmatter fields consistent across all research documents
- Update frontmatter when adding follow-up research
- Use snake_case for multi-word field names (e.g., `last_updated`, `git_commit`)
- Tags should be relevant to the research topic and components studied

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@@ -1,162 +0,0 @@
# Validate Plan
You are tasked with validating that an implementation plan was correctly executed, verifying all success criteria and identifying any deviations or issues.
## Initial Setup
When invoked:
1. **Determine context** - Are you in an existing conversation or starting fresh?
- If existing: Review what was implemented in this session
- If fresh: Need to discover what was done through git and codebase analysis
2. **Locate the plan**:
- If plan path provided, use it
- Otherwise, search recent commits for plan references or ask user
3. **Gather implementation evidence**:
```bash
# Check recent commits
git log --oneline -n 20
git diff HEAD~N..HEAD # Where N covers implementation commits
# Run comprehensive checks
cd $(git rev-parse --show-toplevel) && make check test
```
## Validation Process
### Step 1: Context Discovery
If starting fresh or need more context:
1. **Read the implementation plan** completely
2. **Identify what should have changed**:
- List all files that should be modified
- Note all success criteria (automated and manual)
- Identify key functionality to verify
3. **Spawn parallel research tasks** to discover implementation:
```
Task 1 - Verify database changes:
Research if migration [N] was added and schema changes match plan.
Check: migration files, schema version, table structure
Return: What was implemented vs what plan specified
Task 2 - Verify code changes:
Find all modified files related to [feature].
Compare actual changes to plan specifications.
Return: File-by-file comparison of planned vs actual
Task 3 - Verify test coverage:
Check if tests were added/modified as specified.
Run test commands and capture results.
Return: Test status and any missing coverage
```
### Step 2: Systematic Validation
For each phase in the plan:
1. **Check completion status**:
- Look for checkmarks in the plan (- [x])
- Verify the actual code matches claimed completion
2. **Run automated verification**:
- Execute each command from "Automated Verification"
- Document pass/fail status
- If failures, investigate root cause
3. **Assess manual criteria**:
- List what needs manual testing
- Provide clear steps for user verification
4. **Think deeply about edge cases**:
- Were error conditions handled?
- Are there missing validations?
- Could the implementation break existing functionality?
### Step 3: Generate Validation Report
Create comprehensive validation summary:
```markdown
## Validation Report: [Plan Name]
### Implementation Status
✓ Phase 1: [Name] - Fully implemented
✓ Phase 2: [Name] - Fully implemented
⚠️ Phase 3: [Name] - Partially implemented (see issues)
### Automated Verification Results
✓ Build passes: `make build`
✓ Tests pass: `make test`
✗ Linting issues: `make lint` (3 warnings)
### Code Review Findings
#### Matches Plan:
- Database migration correctly adds [table]
- API endpoints implement specified methods
- Error handling follows plan
#### Deviations from Plan:
- Used different variable names in [file:line]
- Added extra validation in [file:line] (improvement)
#### Potential Issues:
- Missing index on foreign key could impact performance
- No rollback handling in migration
### Manual Testing Required:
1. UI functionality:
- [ ] Verify [feature] appears correctly
- [ ] Test error states with invalid input
2. Integration:
- [ ] Confirm works with existing [component]
- [ ] Check performance with large datasets
### Recommendations:
- Address linting warnings before merge
- Consider adding integration test for [scenario]
- Document new API endpoints
```
## Working with Existing Context
If you were part of the implementation:
- Review the conversation history
- Check your todo list for what was completed
- Focus validation on work done in this session
- Be honest about any shortcuts or incomplete items
## Important Guidelines
1. **Be thorough but practical** - Focus on what matters
2. **Run all automated checks** - Don't skip verification commands
3. **Document everything** - Both successes and issues
4. **Think critically** - Question if the implementation truly solves the problem
5. **Consider maintenance** - Will this be maintainable long-term?
## Validation Checklist
Always verify:
- [ ] All phases marked complete are actually done
- [ ] Automated tests pass
- [ ] Code follows existing patterns
- [ ] No regressions introduced
- [ ] Error handling is robust
- [ ] Documentation updated if needed
- [ ] Manual test steps are clear
## Relationship to Other Commands
Recommended workflow:
1. `/implement_plan` - Execute the implementation
2. `/commit` - Create atomic commits for changes
3. `/validate_plan` - Verify implementation correctness
4. `/describe_pr` - Generate PR description
The validation works best after commits are made, as it can analyze the git history to understand what was implemented.
Remember: Good validation catches issues before they reach production. Be constructive but thorough in identifying gaps or improvements.

View File

@@ -1,10 +0,0 @@
{
"permissions": {
"allow": [
// "Bash(./hack/spec_metadata.sh)",
// "Bash(hack/spec_metadata.sh)",
// "Bash(bash hack/spec_metadata.sh)"
]
},
"enableAllProjectMcpServers": false
}

View File

@@ -1,31 +0,0 @@
{
"permissions": {
"allow": [
"Read(/Users/mikaylamaki/projects/zed-work/zed-monorepo-real/**)",
"Read(/Users/nathan/src/agent-client-protocol/rust/**)",
"Read(/Users/nathan/src/agent-client-protocol/rust/**)",
"Read(/Users/nathan/src/agent-client-protocol/rust/**)",
"Read(/Users/nathan/src/agent-client-protocol/rust/**)",
"Bash(git add:*)",
"Read(/Users/nathan/src/agent-client-protocol/rust/**)",
"Bash(./script/spec_metadata.sh:*)",
"Bash(npm run generate:*)",
"Bash(npm run typecheck:*)",
"Bash(npm run:*)",
"Bash(npm install)",
"Bash(grep:*)",
"Bash(find:*)",
"Bash(node:*)",
"Bash(cargo check:*)",
"Bash(cargo test)",
"Bash(npx tsc:*)"
],
"additionalDirectories": [
"/Users/mikaylamaki/projects/zed-work/zed-monorepo-real/claude-code-acp/",
"/Users/mikaylamaki/projects/zed-work/zed-monorepo-real/agentic-coding-protocol/",
"/Users/nathan/src/agent",
"/Users/nathan/src/agent-client-protocol/",
"/Users/nathan/src/claude-code-acp"
]
}
}

View File

@@ -25,8 +25,6 @@ third-party = [
{ name = "reqwest", version = "0.11.27" },
# build of remote_server should not include scap / its x11 dependency
{ name = "scap", git = "https://github.com/zed-industries/scap", rev = "808aa5c45b41e8f44729d02e38fd00a2fe2722e7" },
# build of remote_server should not need to include on libalsa through rodio
{ name = "rodio" },
]
[final-excludes]
@@ -34,6 +32,7 @@ workspace-members = [
"zed_extension_api",
# exclude all extensions
"zed_emmet",
"zed_glsl",
"zed_html",
"zed_proto",

View File

@@ -14,7 +14,7 @@ body:
### Description
<!-- Describe with sufficient detail to reproduce from a clean Zed install.
- Any code must be sufficient to reproduce (include context!)
- Include code as text, not just as a screenshot.
- Code must as text, not just as a screenshot.
- Issues with insufficient detail may be summarily closed.
-->

View File

@@ -19,27 +19,14 @@ self-hosted-runner:
- namespace-profile-16x32-ubuntu-2004-arm
- namespace-profile-32x64-ubuntu-2004-arm
# Namespace Ubuntu 22.04 (Everything else)
- namespace-profile-2x4-ubuntu-2204
- namespace-profile-4x8-ubuntu-2204
- namespace-profile-8x16-ubuntu-2204
- namespace-profile-16x32-ubuntu-2204
- namespace-profile-32x64-ubuntu-2204
# Namespace Ubuntu 24.04 (like ubuntu-latest)
- namespace-profile-2x4-ubuntu-2404
# Namespace Limited Preview
- namespace-profile-8x16-ubuntu-2004-arm-m4
- namespace-profile-8x32-ubuntu-2004-arm-m4
# Self Hosted Runners
- self-mini-macos
- self-32vcpu-windows-2022
# Disable shellcheck because it doesn't like powershell
# This should have been triggered with initial rollout of actionlint
# but https://github.com/zed-industries/zed/pull/36693
# somehow caused actionlint to actually check those windows jobs
# where previously they were being skipped. Likely caused by an
# unknown bug in actionlint where parsing of `runs-on: [ ]`
# breaks something else. (yuck)
paths:
.github/workflows/{ci,release_nightly}.yml:
ignore:
- "shellcheck"

View File

@@ -56,6 +56,7 @@ runs:
$env:COMPlus_CreateDumpDiagnostics = "1"
cargo nextest run --workspace --no-fail-fast
continue-on-error: true
- name: Analyze crash dumps
if: always()

View File

@@ -8,7 +8,7 @@ on:
jobs:
update-collab-staging-tag:
if: github.repository_owner == 'zed-industries'
runs-on: namespace-profile-2x4-ubuntu-2404
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4

View File

@@ -37,7 +37,7 @@ jobs:
run_nix: ${{ steps.filter.outputs.run_nix }}
run_actionlint: ${{ steps.filter.outputs.run_actionlint }}
runs-on:
- namespace-profile-2x4-ubuntu-2404
- ubuntu-latest
steps:
- name: Checkout repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
@@ -237,7 +237,7 @@ jobs:
uses: ./.github/actions/build_docs
actionlint:
runs-on: namespace-profile-2x4-ubuntu-2404
runs-on: ubuntu-latest
if: github.repository_owner == 'zed-industries' && needs.job_spec.outputs.run_actionlint == 'true'
needs: [job_spec]
steps:
@@ -418,7 +418,7 @@ jobs:
if: |
github.repository_owner == 'zed-industries' &&
needs.job_spec.outputs.run_tests == 'true'
runs-on: [self-32vcpu-windows-2022]
runs-on: [self-hosted, Windows, X64]
steps:
- name: Environment Setup
run: |
@@ -458,7 +458,7 @@ jobs:
tests_pass:
name: Tests Pass
runs-on: namespace-profile-2x4-ubuntu-2404
runs-on: ubuntu-latest
needs:
- job_spec
- style
@@ -784,7 +784,7 @@ jobs:
bundle-windows-x64:
timeout-minutes: 120
name: Create a Windows installer
runs-on: [self-32vcpu-windows-2022]
runs-on: [self-hosted, Windows, X64]
if: contains(github.event.pull_request.labels.*.name, 'run-bundling')
# if: (startsWith(github.ref, 'refs/tags/v') || contains(github.event.pull_request.labels.*.name, 'run-bundling'))
needs: [windows_tests]

View File

@@ -12,7 +12,7 @@ on:
jobs:
danger:
if: github.repository_owner == 'zed-industries'
runs-on: namespace-profile-2x4-ubuntu-2404
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4

View File

@@ -59,7 +59,7 @@ jobs:
timeout-minutes: 60
name: Run tests on Windows
if: github.repository_owner == 'zed-industries'
runs-on: [self-32vcpu-windows-2022]
runs-on: [self-hosted, Windows, X64]
steps:
- name: Checkout repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
@@ -206,6 +206,9 @@ jobs:
runs-on: github-8vcpu-ubuntu-2404
needs: tests
name: Build Zed on FreeBSD
# env:
# MYTOKEN : ${{ secrets.MYTOKEN }}
# MYTOKEN2: "value2"
steps:
- uses: actions/checkout@v4
- name: Build FreeBSD remote-server
@@ -240,6 +243,7 @@ jobs:
bundle-nix:
name: Build and cache Nix package
if: false
needs: tests
secrets: inherit
uses: ./.github/workflows/nix.yml
@@ -248,7 +252,7 @@ jobs:
timeout-minutes: 60
name: Create a Windows installer
if: github.repository_owner == 'zed-industries'
runs-on: [self-32vcpu-windows-2022]
runs-on: [self-hosted, Windows, X64]
needs: windows-tests
env:
AZURE_TENANT_ID: ${{ secrets.AZURE_SIGNING_TENANT_ID }}
@@ -290,7 +294,7 @@ jobs:
update-nightly-tag:
name: Update nightly tag
if: github.repository_owner == 'zed-industries'
runs-on: namespace-profile-2x4-ubuntu-2404
runs-on: ubuntu-latest
needs:
- bundle-mac
- bundle-linux-x86

View File

@@ -12,7 +12,7 @@ jobs:
shellcheck:
name: "ShellCheck Scripts"
if: github.repository_owner == 'zed-industries'
runs-on: namespace-profile-2x4-ubuntu-2404
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4

447
Cargo.lock generated

File diff suppressed because it is too large Load Diff

View File

@@ -1,7 +1,6 @@
[workspace]
resolver = "2"
members = [
"crates/acp_tools",
"crates/acp_thread",
"crates/action_log",
"crates/activity_indicator",
@@ -82,6 +81,7 @@ members = [
"crates/http_client_tls",
"crates/icons",
"crates/image_viewer",
"crates/indexed_docs",
"crates/edit_prediction",
"crates/edit_prediction_button",
"crates/inspector_ui",
@@ -156,7 +156,6 @@ members = [
"crates/streaming_diff",
"crates/sum_tree",
"crates/supermaven",
"crates/system_specs",
"crates/supermaven_api",
"crates/svg_preview",
"crates/tab_switcher",
@@ -200,6 +199,7 @@ members = [
# Extensions
#
"extensions/emmet",
"extensions/glsl",
"extensions/html",
"extensions/proto",
@@ -228,7 +228,6 @@ edition = "2024"
# Workspace member crates
#
acp_tools = { path = "crates/acp_tools" }
acp_thread = { path = "crates/acp_thread" }
action_log = { path = "crates/action_log" }
agent = { path = "crates/agent" }
@@ -307,6 +306,7 @@ http_client = { path = "crates/http_client" }
http_client_tls = { path = "crates/http_client_tls" }
icons = { path = "crates/icons" }
image_viewer = { path = "crates/image_viewer" }
indexed_docs = { path = "crates/indexed_docs" }
edit_prediction = { path = "crates/edit_prediction" }
edit_prediction_button = { path = "crates/edit_prediction_button" }
inspector_ui = { path = "crates/inspector_ui" }
@@ -363,7 +363,6 @@ remote_server = { path = "crates/remote_server" }
repl = { path = "crates/repl" }
reqwest_client = { path = "crates/reqwest_client" }
rich_text = { path = "crates/rich_text" }
rodio = { version = "0.21.1", default-features = false }
rope = { path = "crates/rope" }
rpc = { path = "crates/rpc" }
rules_library = { path = "crates/rules_library" }
@@ -384,7 +383,6 @@ streaming_diff = { path = "crates/streaming_diff" }
sum_tree = { path = "crates/sum_tree" }
supermaven = { path = "crates/supermaven" }
supermaven_api = { path = "crates/supermaven_api" }
system_specs = { path = "crates/system_specs" }
tab_switcher = { path = "crates/tab_switcher" }
task = { path = "crates/task" }
tasks_ui = { path = "crates/tasks_ui" }
@@ -426,7 +424,8 @@ zlog_settings = { path = "crates/zlog_settings" }
# External crates
#
agent-client-protocol = { path = "../agent-client-protocol" }
agentic-coding-protocol = "0.0.10"
agent-client-protocol = "0.0.23"
aho-corasick = "1.1"
alacritty_terminal = { git = "https://github.com/zed-industries/alacritty.git", branch = "add-hush-login-flag" }
any_vec = "0.14"
@@ -453,7 +452,6 @@ aws-sdk-bedrockruntime = { version = "1.80.0", features = [
aws-smithy-runtime-api = { version = "1.7.4", features = ["http-1x", "client"] }
aws-smithy-types = { version = "1.3.0", features = ["http-body-1-x"] }
base64 = "0.22"
bincode = "1.2.1"
bitflags = "2.6.0"
blade-graphics = { git = "https://github.com/kvark/blade", rev = "e0ec4e720957edd51b945b64dd85605ea54bcfe5" }
blade-macros = { git = "https://github.com/kvark/blade", rev = "e0ec4e720957edd51b945b64dd85605ea54bcfe5" }
@@ -497,7 +495,6 @@ handlebars = "4.3"
heck = "0.5"
heed = { version = "0.21.0", features = ["read-txn-no-tls"] }
hex = "0.4.3"
human_bytes = "0.4.1"
html5ever = "0.27.0"
http = "1.1"
http-body = "1.0"
@@ -520,7 +517,6 @@ libsqlite3-sys = { version = "0.30.1", features = ["bundled"] }
linkify = "0.10.0"
log = { version = "0.4.16", features = ["kv_unstable_serde", "serde"] }
lsp-types = { git = "https://github.com/zed-industries/lsp-types", rev = "39f629bdd03d59abd786ed9fc27e8bca02c0c0ec" }
mach2 = "0.5"
markup5ever_rcdom = "0.3.0"
metal = "0.29"
minidumper = "0.8"
@@ -537,7 +533,6 @@ palette = { version = "0.7.5", default-features = false, features = ["std"] }
parking_lot = "0.12.1"
partial-json-fixer = "0.5.3"
parse_int = "0.9"
pciid-parser = "0.8.0"
pathdiff = "0.2"
pet = { git = "https://github.com/microsoft/python-environment-tools.git", rev = "845945b830297a50de0e24020b980a65e4820559" }
pet-conda = { git = "https://github.com/microsoft/python-environment-tools.git", rev = "845945b830297a50de0e24020b980a65e4820559" }
@@ -569,6 +564,7 @@ reqwest = { git = "https://github.com/zed-industries/reqwest.git", rev = "951c77
"socks",
"stream",
] }
rodio = { version = "0.21.1", default-features = false }
rsa = "0.9.6"
runtimelib = { git = "https://github.com/ConradIrwin/runtimed", rev = "7130c804216b6914355d15d0b91ea91f6babd734", default-features = false, features = [
"async-dispatcher-runtime",
@@ -589,7 +585,6 @@ serde_json_lenient = { version = "0.2", features = [
"raw_value",
] }
serde_repr = "0.1"
serde_urlencoded = "0.7"
sha2 = "0.10"
shellexpand = "2.1.0"
shlex = "1.3.0"
@@ -597,7 +592,6 @@ simplelog = "0.12.2"
smallvec = { version = "1.6", features = ["union"] }
smol = "2.0"
sqlformat = "0.2"
stacksafe = "0.1"
streaming-iterator = "0.1"
strsim = "0.11"
strum = { version = "0.27.0", features = ["derive"] }
@@ -624,7 +618,7 @@ tower-http = "0.4.4"
tree-sitter = { version = "0.25.6", features = ["wasm"] }
tree-sitter-bash = "0.25.0"
tree-sitter-c = "0.23"
tree-sitter-cpp = { git = "https://github.com/tree-sitter/tree-sitter-cpp", rev = "5cb9b693cfd7bfacab1d9ff4acac1a4150700609" }
tree-sitter-cpp = "0.23"
tree-sitter-css = "0.23"
tree-sitter-diff = "0.1.0"
tree-sitter-elixir = "0.3"
@@ -668,9 +662,25 @@ which = "6.0.0"
windows-core = "0.61"
wit-component = "0.221"
workspace-hack = "0.1.0"
yawc = "0.2.5"
# We can switch back to the published version once https://github.com/infinitefield/yawc/pull/16 is merged and a new
# version is released.
yawc = { git = "https://github.com/deviant-forks/yawc", rev = "1899688f3e69ace4545aceb97b2a13881cf26142" }
zstd = "0.11"
[workspace.dependencies.async-stripe]
git = "https://github.com/zed-industries/async-stripe"
rev = "3672dd4efb7181aa597bf580bf5a2f5d23db6735"
default-features = false
features = [
"runtime-tokio-hyper-rustls",
"billing",
"checkout",
"events",
# The features below are only enabled to get the `events` feature to build.
"chrono",
"connect",
]
[workspace.dependencies.windows]
version = "0.61"
features = [
@@ -808,33 +818,39 @@ unexpected_cfgs = { level = "allow" }
dbg_macro = "deny"
todo = "deny"
# This is not a style lint, see https://github.com/rust-lang/rust-clippy/pull/15454
# Remove when the lint gets promoted to `suspicious`.
declare_interior_mutable_const = "deny"
redundant_clone = "deny"
# We currently do not restrict any style rules
# as it slows down shipping code to Zed.
#
# Running ./script/clippy can take several minutes, and so it's
# common to skip that step and let CI do it. Any unexpected failures
# (which also take minutes to discover) thus require switching back
# to an old branch, manual fixing, and re-pushing.
#
# In the future we could improve this by either making sure
# Zed can surface clippy errors in diagnostics (in addition to the
# rust-analyzer errors), or by having CI fix style nits automatically.
style = { level = "allow", priority = -1 }
# Individual rules that have violations in the codebase:
type_complexity = "allow"
let_underscore_future = "allow"
# Motivation: We use `vec![a..b]` a lot when dealing with ranges in text, so
# warning on this rule produces a lot of noise.
single_range_in_vec_init = "allow"
# These are all of the rules that currently have violations in the Zed
# codebase.
#
# We'll want to drive this list down by either:
# 1. fixing violations of the rule and begin enforcing it
# 2. deciding we want to allow the rule permanently, at which point
# we should codify that separately above.
#
# This list shouldn't be added to; it should only get shorter.
# =============================================================================
# There are a bunch of rules currently failing in the `style` group, so
# allow all of those, for now.
style = { level = "allow", priority = -1 }
# Temporary list of style lints that we've fixed so far.
module_inception = { level = "deny" }
question_mark = { level = "deny" }
redundant_closure = { level = "deny" }
declare_interior_mutable_const = { level = "deny" }
# Individual rules that have violations in the codebase:
type_complexity = "allow"
# We often return trait objects from `new` functions.
new_ret_no_self = { level = "allow" }
# We have a few `next` functions that differ in lifetimes
# compared to Iterator::next. Yet, clippy complains about those.
should_implement_trait = { level = "allow" }
let_underscore_future = "allow"
# in Rust it can be very tedious to reduce argument count without
# running afoul of the borrow checker.
too_many_arguments = "allow"

View File

@@ -1,2 +0,0 @@
postgrest_llm: postgrest crates/collab/postgrest_llm.conf
website: cd ../zed.dev; npm run dev -- --port=3000

View File

@@ -1,5 +1,5 @@
<svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M10.5 8.75V10.5C8.43097 10.5 7.56903 10.5 5.5 10.5V10L10.5 6V5.5H5.5V7.25" stroke="black" stroke-width="1.2"/>
<path d="M10.5 8.75V10.5C8.43097 10.5 7.56903 10.5 5.5 10.5V10L10.5 6V5.5H5.5V7.25" stroke="black" stroke-width="1.5"/>
<path d="M1.5 8.5C1.77614 8.5 2 8.27614 2 8C2 7.72386 1.77614 7.5 1.5 7.5C1.22386 7.5 1 7.72386 1 8C1 8.27614 1.22386 8.5 1.5 8.5Z" fill="black"/>
<path d="M2.49976 6.33002C2.7759 6.33002 2.99976 6.10616 2.99976 5.83002C2.99976 5.55387 2.7759 5.33002 2.49976 5.33002C2.22361 5.33002 1.99976 5.55387 1.99976 5.83002C1.99976 6.10616 2.22361 6.33002 2.49976 6.33002Z" fill="black"/>
<path d="M2.49976 10.66C2.7759 10.66 2.99976 10.4361 2.99976 10.16C2.99976 9.88383 2.7759 9.65997 2.49976 9.65997C2.22361 9.65997 1.99976 9.88383 1.99976 10.16C1.99976 10.4361 2.22361 10.66 2.49976 10.66Z" fill="black"/>

Before

Width:  |  Height:  |  Size: 4.2 KiB

After

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@@ -1,6 +1,6 @@
<svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M12.8989 5.77778L11.6434 4.52222C10.6384 3.55068 9.29673 3.00526 7.89893 3C6.57285 3 5.30103 3.52678 4.36343 4.46447C3.78887 5.03901 3.36856 5.73897 3.12921 6.5" stroke="black" stroke-width="1.2" stroke-linecap="round" stroke-linejoin="round"/>
<path d="M12.8989 3V5.77778H10.1211" stroke="black" stroke-width="1.2" stroke-linecap="round" stroke-linejoin="round"/>
<path d="M3.1012 10.2222L4.3568 11.4778C5.3618 12.4493 6.70342 12.9947 8.10122 13C9.42731 13 10.6991 12.4732 11.6368 11.5355C12.2163 10.956 12.6389 10.2487 12.8772 9.47994" stroke="black" stroke-width="1.2" stroke-linecap="round" stroke-linejoin="round"/>
<path d="M5.87891 10.2222H3.10111V13" stroke="black" stroke-width="1.2" stroke-linecap="round" stroke-linejoin="round"/>
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