mirror of
https://github.com/wshobson/agents.git
synced 2026-03-18 17:47:16 +00:00
d2f3886ae1
Repository Restructure: - Move all 83 agent .md files to agents/ subdirectory - Add 15 workflow orchestrators from commands repo to workflows/ - Add 42 development tools from commands repo to tools/ - Update README for unified repository structure The commands repository functionality is now fully integrated, providing complete workflow orchestration and development tooling alongside agents. Directory Structure: - agents/ - 83 specialized AI agents - workflows/ - 15 multi-agent orchestration commands - tools/ - 42 focused development utilities No breaking changes to agent functionality - all agents remain accessible with same names and behavior. Adds workflow and tool commands for enhanced multi-agent coordination capabilities.
68 lines
1.6 KiB
Markdown
68 lines
1.6 KiB
Markdown
---
|
|
model: claude-sonnet-4-0
|
|
---
|
|
|
|
# AI/ML Code Review
|
|
|
|
Perform a specialized AI/ML code review for: $ARGUMENTS
|
|
|
|
Conduct comprehensive review focusing on:
|
|
|
|
1. **Model Code Quality**:
|
|
- Reproducibility checks
|
|
- Random seed management
|
|
- Data leakage detection
|
|
- Train/test split validation
|
|
- Feature engineering clarity
|
|
|
|
2. **AI Best Practices**:
|
|
- Prompt injection prevention
|
|
- Token limit handling
|
|
- Cost optimization
|
|
- Fallback strategies
|
|
- Timeout management
|
|
|
|
3. **Data Handling**:
|
|
- Privacy compliance (PII handling)
|
|
- Data versioning
|
|
- Preprocessing consistency
|
|
- Batch processing efficiency
|
|
- Memory optimization
|
|
|
|
4. **Model Management**:
|
|
- Version control for models
|
|
- A/B testing setup
|
|
- Rollback capabilities
|
|
- Performance benchmarks
|
|
- Drift detection
|
|
|
|
5. **LLM-Specific Checks**:
|
|
- Context window management
|
|
- Prompt template security
|
|
- Response validation
|
|
- Streaming implementation
|
|
- Rate limit handling
|
|
|
|
6. **Vector Database Review**:
|
|
- Embedding consistency
|
|
- Index optimization
|
|
- Query performance
|
|
- Metadata management
|
|
- Backup strategies
|
|
|
|
7. **Production Readiness**:
|
|
- GPU/CPU optimization
|
|
- Batching strategies
|
|
- Caching implementation
|
|
- Monitoring hooks
|
|
- Error recovery
|
|
|
|
8. **Testing Coverage**:
|
|
- Unit tests for preprocessing
|
|
- Integration tests for pipelines
|
|
- Model performance tests
|
|
- Edge case handling
|
|
- Mocked LLM responses
|
|
|
|
Provide specific recommendations with severity levels (Critical/High/Medium/Low). Include code examples for improvements and links to relevant best practices.
|