3b128ba3bd
This commit adds comprehensive integration of three major AI agent platforms: ## MCP Servers (3) - Prometheus MCP: Knowledge graph code reasoning with AST analysis - Every Code MCP: Fast terminal-based coding agent with Auto Drive - Dexto MCP: Agent harness with orchestration and session management ## Claude Code Skills (6) - /agent-plan: Generate implementation plans - /agent-fix-bug: Fix bugs end-to-end - /agent-solve: Solve complex problems - /agent-review: Review code quality - /agent-context: Get code context - /agent-orchestrate: Orchestrate workflows ## Ralph Auto-Integration - Pattern-based auto-trigger for all three platforms - Intelligent backend selection - Multi-platform coordination - Configuration in ralph/ralph.yml ## Documentation - Complete integration guides - Ralph auto-integration documentation - Setup scripts - Usage examples Co-Authored-By: Claude <noreply@anthropic.com>
96 lines
2.5 KiB
Markdown
96 lines
2.5 KiB
Markdown
# Agent: Fix Bug
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End-to-end bug fixing with reproduction, patch generation, and verification.
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## Usage
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```
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/agent-fix-bug "Login fails after password reset"
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```
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## Description
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The `/agent-fix-bug` skill fixes bugs through a systematic process:
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1. Classify the issue type (bug/feature/question/doc)
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2. Reproduce the bug in isolated environment
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3. Retrieve relevant code context via knowledge graph
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4. Generate and apply patch
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5. Verify fix with regression tests
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## Examples
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### Fix a reported bug
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```
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/agent-fix-bug "Users with special characters in names cannot sign up"
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```
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### Fix with specific error
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```
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/agent-fix-bug "NullPointerException in UserService.updateProfile
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Error: java.lang.NullPointerException: Cannot invoke \"String.length()\" because the return value of \"User.getName()\" is null"
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```
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### Fix with reproduction steps
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```
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/agent-fix-bug "Shopping cart loses items when user switches tabs
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Steps:
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1. Add item to cart
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2. Open new tab
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3. Cart appears empty
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4. Return to original tab
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5. Cart still shows items"
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```
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## Backends
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- **Primary**: Prometheus (bug pipeline with LangGraph agents)
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- **Verification**: Every Code Auto Review
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- **Testing**: Prometheus (Docker container execution)
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## Workflow
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### 1. Issue Classification
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- Analyze issue description
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- Classify as bug/feature/question/documentation
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- Identify affected components
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### 2. Bug Reproduction
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- Create minimal reproduction case
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- Execute in Docker container
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- Capture error logs and stack traces
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### 3. Context Retrieval
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- Search knowledge graph for related code
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- Analyze AST for function call chains
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- Identify similar bug fixes
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### 4. Patch Generation
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- Generate fix using AI reasoning
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- Apply patch with git
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- Test in isolated environment
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### 5. Verification
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- Run regression tests
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- Verify reproduction case is fixed
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- Generate test coverage report
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## Output
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```
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✓ Issue classified as: bug
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✓ Bug reproduced: UserService.updateProfile throws NPE for null names
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✓ Context retrieved: 5 related files, 12 similar issues
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✓ Patch generated: Added null check in UserService.updateProfile
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✓ Tests passed: 15/15
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✓ Regression verified: No existing tests broken
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Fix applied: prometheus-backend/src/main/java/com/prometheus/service/UserService.java:47
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```
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## Follow-up
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After fixing:
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- `/agent-review` - Review the changes
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- `/agent-test` - Run specific tests
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- `/agent-context` - Understand the fix context
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