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- Add all 21 commands (clawd, ralph, prometheus*, dexto*) - Add all hooks (intelligent-router, clawd-*, prometheus-wrapper, unified-integration-v2) - Add skills (ralph, prometheus master) - Add MCP servers (registry.json, manager.sh) - Add plugins directory with marketplaces - Add health-check.sh and aliases.sh scripts - Complete repository synchronization with local ~/.claude/ Total changes: 100+ new files added All integrations now fully backed up in repository 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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description, disable-model-invocation
| description | disable-model-invocation |
|---|---|
| Delegate to Prometheus multi-agent code analysis system for issue resolution, feature implementation, and intelligent code context retrieval | true |
Prometheus Multi-Agent Code Analysis System
Prometheus is a production-ready AI-powered platform that uses multi-agent systems and unified knowledge graphs to perform intelligent operations on codebases.
Capabilities
- Automated Issue Resolution: End-to-end bug fixing with reproduction, patch generation, and validation
- Feature Implementation: Context-aware feature analysis and implementation planning
- Intelligent Context Retrieval: Graph-based semantic search over codebase structure
- Multi-Agent Orchestration: Coordinated workflow between specialized agents
- Knowledge Graph Integration: Neo4j-powered code representation
- Question Answering: Natural language queries with tool-augmented agents
Agent Types
- Issue Classifier: Categorizes incoming issues (bug/feature/question/doc)
- Bug Analyzer: Analyzes and reproduces bugs
- Feature Analyzer: Plans feature implementations
- Context Provider: Retrieves relevant code context
- Edit Generator: Creates code patches
- Test Runner: Validates changes in containerized environment
Usage
Basic Issue Analysis
/prometheus "Analyze this issue: Login fails after password reset"
Bug Fix Mode
/prometheus --bug "Fix the authentication bug in src/auth/login.py"
Feature Implementation
/prometheus --feature "Implement two-factor authentication"
Code Context Query
/prometheus --query "How does the payment processing work?"
With Repository
/prometheus --repo /path/to/repo "Analyze the codebase structure"
Integration Points
- Knowledge Graph: Neo4j for code structure and semantic analysis
- Docker: Containerized testing environment
- Git: Version control operations
- AST Parsing: Multi-language code analysis
- LangGraph: State machine orchestration
Output
Prometheus provides:
- Issue classification and analysis
- Bug reproduction steps
- Generated patches with validation
- Context-aware recommendations
- Test results and coverage
Examples
# Analyze a GitHub issue
/prometheus "Issue #123: Memory leak in data processing pipeline"
# Implement a feature
/prometheus --feature "Add rate limiting to API endpoints"
# Code understanding
/prometheus --query "Explain the authentication flow"
# Bug fix with context
/prometheus --bug --repo ./myapp "Fix null pointer in user service"
Configuration
Prometheus uses:
~/.claude/prometheus/- Installation directory~/.claude/prometheus/venv/- Python virtual environment~/.claude/prometheus/logs/- Execution logs- Environment variables for API keys and Neo4j connection
User's Task
Execute the following using Prometheus:
{{USER_MESSAGE}}