662 lines
30 KiB
Markdown
662 lines
30 KiB
Markdown
---
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name: analyze:repository
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description: Analyze external GitHub/GitLab repo for insights, patterns, and improvement opportunities
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delegates-to: autonomous-agent:orchestrator
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---
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# Analyze-Repository Command
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## Command: `/analyze:repository`
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**Deep analysis of external repositories** - Explores and analyzes GitHub/GitLab repositories (by URL or local path) to identify strengths, weaknesses, features, and generate specific recommendations for enhancing this plugin based on discovered capabilities.
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**🔍 Comprehensive Repository Analysis:**
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- **Feature Discovery**: Identifies all major features and capabilities
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- **Quality Assessment**: Evaluates code quality, structure, and design
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- **Strength/Weakness Analysis**: What the repository does well and poorly
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- **Plugin Enhancement Recommendations**: How to improve THIS plugin based on discoveries
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- **Pattern Learning**: Learns successful patterns from external projects
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- **Comparative Analysis**: Compares with similar projects
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## How It Works
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1. **Repository Access**: Clones or accesses repository (URL or local path)
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2. **Structure Analysis**: Maps project architecture and organization
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3. **Feature Extraction**: Identifies key features and capabilities
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4. **Quality Assessment**: Evaluates code quality and design patterns
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5. **Strength/Weakness Evaluation**: Analyzes what works well and what doesn't
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6. **Plugin Enhancement Analysis**: Determines how to enhance THIS plugin
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7. **Pattern Learning**: Stores successful patterns for future use
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## Usage
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### Basic Usage
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```bash
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# Analyze GitHub repository by URL
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/analyze:repository https://github.com/username/repo
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# Analyze local repository
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/analyze:repository /path/to/local/repo
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# Analyze GitLab repository
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/analyze:repository https://gitlab.com/username/repo
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```
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### With Specific Focus
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```bash
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# Focus on architecture and design
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/analyze:repository https://github.com/user/repo --focus architecture
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# Focus on testing strategies
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/analyze:repository https://github.com/user/repo --focus testing
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# Focus on documentation approach
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/analyze:repository https://github.com/user/repo --focus documentation
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# Focus on CI/CD and automation
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/analyze:repository https://github.com/user/repo --focus automation
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```
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### Advanced Options
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```bash
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# Deep analysis with all metrics
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/analyze:repository https://github.com/user/repo --deep-analysis
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# Compare with current project
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/analyze:repository https://github.com/user/repo --compare-with-current
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# Focus on plugin enhancement opportunities
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/analyze:repository https://github.com/user/repo --plugin-enhancement-focus
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# Include dependency analysis
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/analyze:repository https://github.com/user/repo --analyze-dependencies
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# Generate implementation roadmap
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/analyze:repository https://github.com/user/repo --generate-roadmap
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```
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## Output Format
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### Terminal Output (Concise Summary)
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```
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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🔍 REPOSITORY ANALYSIS COMPLETE
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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Repository: fastapi/fastapi
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Type: Python Web Framework | Stars: 68.5k | Quality: 94/100
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Key Features Discovered:
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* Automatic API documentation generation (OpenAPI/Swagger)
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* Dependency injection system
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* Async request handling with type validation
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Top Strengths:
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1. Excellent type hint usage throughout
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2. Comprehensive test coverage (96%)
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3. Outstanding documentation with examples
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Plugin Enhancement Opportunities:
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1. [HIGH] Add automatic OpenAPI schema generation for analyzed APIs
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2. [MED] Implement dependency injection pattern in agents
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3. [MED] Enhanced async operation support in background tasks
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📄 Full report: .claude/data/reports/analyze-repo-fastapi-2025-10-29.md
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⏱ Analysis completed in 3.2 minutes
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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```
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### Detailed Report (.claude/data/reports/)
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```markdown
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=======================================================
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REPOSITORY ANALYSIS REPORT
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=======================================================
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Generated: 2025-10-29 16:45:00
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Repository: https://github.com/fastapi/fastapi
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Branch: main | Commit: abc1234 | Stars: 68,500
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+- Repository Overview --------------------------------+
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| Project: FastAPI |
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| Type: Python Web Framework |
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| Language: Python 3.7+ |
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| License: MIT |
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| |
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| Statistics: |
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| * Files: 487 |
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| * Lines of Code: 45,230 |
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| * Contributors: 487 |
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| * Commits: 3,892 |
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| * Stars: 68,500 |
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| * Forks: 5,742 |
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| * Open Issues: 234 |
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| |
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| Main Technologies: |
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| * Python 3.7+ with type hints |
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| * Pydantic for validation |
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| * Starlette for async support |
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| * OpenAPI/Swagger for documentation |
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+-------------------------------------------------------+
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+- Key Features Discovered ----------------------------+
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| 1. Automatic API Documentation |
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| * OpenAPI schema auto-generation |
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| * Interactive Swagger UI |
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| * ReDoc alternative documentation |
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| * JSON Schema exports |
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| Implementation: /fastapi/openapi/utils.py |
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| |
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| 2. Dependency Injection System |
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| * Type-based dependency resolution |
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| * Nested dependency support |
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| * Async dependency handling |
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| * Automatic request parameter injection |
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| Implementation: /fastapi/dependencies/ |
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| |
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| 3. Type-Safe Request/Response Handling |
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| * Pydantic model integration |
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| * Automatic validation |
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| * Type hint-based parameter extraction |
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| * Response model enforcement |
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| Implementation: /fastapi/routing/ |
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| |
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| 4. Async/Await Support |
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| * Full async request handlers |
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| * Background task execution |
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| * Streaming responses |
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| * WebSocket support |
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| Implementation: /fastapi/concurrency.py |
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| |
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| 5. Advanced Testing Infrastructure |
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| * Comprehensive test suite (96% coverage) |
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| * Test client with async support |
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| * Fixture-based testing |
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| * Integration and unit test separation |
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| Implementation: /tests/ |
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+-------------------------------------------------------+
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+- Strengths Analysis ---------------------------------+
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| Code Quality (94/100): |
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| ✅ Exceptional type hint coverage (99%) |
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| ✅ Comprehensive docstrings with examples |
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| ✅ Consistent code style throughout |
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| ✅ Low cyclomatic complexity (avg: 4.2) |
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| ✅ DRY principles well applied |
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| |
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| Testing (96/100): |
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| ✅ 96% test coverage |
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| ✅ 2,145 tests, all passing |
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| ✅ Fast test execution (<30s) |
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| ✅ Clear test organization |
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| ✅ Property-based testing for edge cases |
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| |
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| Documentation (98/100): |
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| ✅ Outstanding main documentation |
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| ✅ Extensive tutorials and guides |
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| ✅ Real-world examples included |
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| ✅ Multi-language documentation (10+ languages) |
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| ✅ Auto-generated API docs from code |
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| |
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| Architecture (92/100): |
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| ✅ Clean separation of concerns |
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| ✅ Modular design with clear boundaries |
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| ✅ Extensible plugin system |
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| ✅ Minimal external dependencies |
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| ✅ Performance-optimized core |
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| |
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| Developer Experience (95/100): |
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| ✅ Intuitive API design |
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| ✅ Excellent error messages |
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| ✅ Fast development iteration |
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| ✅ Auto-complete friendly (type hints) |
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| ✅ Minimal boilerplate required |
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+-------------------------------------------------------+
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+- Weaknesses Analysis --------------------------------+
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| Areas for Improvement: |
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| |
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| [WARN]️ Complex Dependency Resolution (Medium) |
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| * Nested dependencies can be hard to debug |
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| * Circular dependency detection limited |
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| * Error messages sometimes unclear |
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| Impact: Developer Experience |
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| Files: /fastapi/dependencies/utils.py:234-567 |
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| |
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| [WARN]️ Limited Built-in Caching (Medium) |
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| * No built-in response caching mechanism |
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| * Requires external libraries |
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| * Cache invalidation strategy not documented |
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| Impact: Performance |
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| Workaround: Use third-party libraries |
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| |
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| [WARN]️ WebSocket Documentation (Low) |
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| * WebSocket examples limited |
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| * Advanced patterns not well documented |
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| * Error handling examples missing |
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| Impact: Feature Adoption |
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| Files: /docs/advanced/websockets.md |
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| |
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| [WARN]️ Middleware Ordering (Low) |
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| * Middleware execution order not intuitive |
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| * Documentation could be clearer |
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| * Debugging middleware chain difficult |
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| Impact: Developer Experience |
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| Files: /fastapi/middleware/ |
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+-------------------------------------------------------+
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+- Design Patterns Observed ---------------------------+
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| 1. Dependency Injection Pattern |
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| Usage: Core architectural pattern |
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| Implementation: Type-based resolution |
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| Quality: Excellent (95/100) |
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| Reusability: High |
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| |
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| 2. Decorator Pattern |
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| Usage: Route definition and middleware |
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| Implementation: Python decorators |
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| Quality: Excellent (94/100) |
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| Reusability: High |
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| |
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| 3. Factory Pattern |
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| Usage: Application and router creation |
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| Implementation: Builder-style API |
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| Quality: Good (87/100) |
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| Reusability: Medium |
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| |
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| 4. Observer Pattern (Events) |
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| Usage: Startup/shutdown hooks |
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| Implementation: Event handlers |
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| Quality: Good (85/100) |
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| Reusability: Medium |
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| |
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| 5. Strategy Pattern (Validation) |
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| Usage: Customizable validation strategies |
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| Implementation: Pydantic validators |
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| Quality: Excellent (92/100) |
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| Reusability: High |
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+-------------------------------------------------------+
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+- Technology Stack Analysis --------------------------+
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| Core Dependencies: |
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| * Starlette - ASGI framework (excellent choice) |
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| * Pydantic - Data validation (industry standard) |
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| * python-multipart - File uploads (necessary) |
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| |
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| Development Dependencies: |
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| * pytest - Testing framework (standard) |
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| * black - Code formatter (excellent) |
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| * mypy - Type checking (essential) |
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| * ruff - Fast linting (modern choice) |
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| |
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| Optional Dependencies: |
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| * uvicorn - ASGI server (recommended) |
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| * orjson - Fast JSON (performance) |
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| * ujson - Alternative JSON (compatibility) |
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| |
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| Dependency Management: |
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| ✅ Minimal required dependencies |
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| ✅ Clear optional dependency groups |
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| ✅ Version constraints well defined |
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| ✅ Regular security updates |
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+-------------------------------------------------------+
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+- Plugin Enhancement Recommendations -----------------+
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| CRITICAL recommendations for THIS plugin: |
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| |
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| 1. [HIGH PRIORITY] Automatic Schema Generation |
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| Learning: FastAPI auto-generates OpenAPI schemas |
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| | |
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| Recommendation for This Plugin: |
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| * Add agent: api-schema-generator.md |
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| * Auto-analyze API endpoints in projects |
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| * Generate OpenAPI/Swagger documentation |
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| * Validate API contracts automatically |
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| * Integrate with /validate:fullstack |
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| | |
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| Implementation Approach: |
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| * Create skills/api-documentation/ skill |
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| * Add schema generation to api-contract-validator |
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| * Store API patterns in pattern database |
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| * Learn from successful API designs |
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| | |
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| Expected Impact: HIGH |
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| * Better API analysis capabilities |
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| * Automatic documentation generation |
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| * Improved validation accuracy |
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| Estimated Effort: 6-8 hours |
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| |
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| 2. [HIGH PRIORITY] Enhanced Dependency Injection |
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| Learning: Type-based dependency resolution |
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| | |
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| Recommendation for This Plugin: |
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| * Implement dependency injection for agents |
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| * Auto-resolve agent dependencies |
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| * Share context between agents efficiently |
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| * Reduce agent coupling |
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| | |
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| Implementation Approach: |
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| * Add dependency resolution to orchestrator |
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| * Create agent dependency registry |
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| * Implement type-based agent injection |
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| * Cache resolved dependencies |
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| | |
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| Expected Impact: MEDIUM-HIGH |
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| * Cleaner agent architecture |
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| * Better performance (caching) |
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| * Easier agent development |
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| Estimated Effort: 8-10 hours |
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| |
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| 3. [MEDIUM PRIORITY] Advanced Async Operations |
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| Learning: Full async/await support throughout |
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| | |
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| Recommendation for This Plugin: |
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| * Enhance background-task-manager with async |
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| * Add parallel agent execution |
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| * Implement async skill loading |
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| * Add WebSocket support for real-time updates |
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| | |
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| Implementation Approach: |
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| * Update background-task-manager to async |
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| * Add async execution pool |
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| * Implement task priority queuing |
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| * Add progress streaming support |
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| | |
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| Expected Impact: MEDIUM |
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| * Faster execution times (parallel) |
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| * Better resource utilization |
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| * Real-time progress updates |
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| Estimated Effort: 10-12 hours |
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| |
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| 4. [MEDIUM PRIORITY] Type-Safe Agent Communication |
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| Learning: Pydantic models for type safety |
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| | |
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| Recommendation for This Plugin: |
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| * Define agent input/output schemas |
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| * Validate agent communication automatically |
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| * Generate agent interfaces from schemas |
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| * Add type checking to agent delegation |
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| | |
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| Implementation Approach: |
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| * Create agent schema definitions |
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| * Add Pydantic models for agent I/O |
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| * Integrate validation in orchestrator |
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| * Add schema versioning support |
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| | |
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| Expected Impact: MEDIUM |
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| * Fewer agent communication errors |
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| * Better debugging |
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| * Self-documenting agent interfaces |
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| Estimated Effort: 6-8 hours |
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| |
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| 5. [LOW-MEDIUM PRIORITY] Enhanced Error Messages |
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| Learning: Descriptive, actionable error messages |
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| | |
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| Recommendation for This Plugin: |
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| * Improve error message clarity |
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| * Add suggested fixes to errors |
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| * Include relevant context in errors |
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| * Add error recovery suggestions |
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| | |
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| Implementation Approach: |
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| * Create error message templates |
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| * Add context capture to all agents |
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| * Implement error pattern detection |
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| * Store error resolution patterns |
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| | |
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| Expected Impact: LOW-MEDIUM |
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| * Better developer experience |
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| * Faster debugging |
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| * Reduced support needs |
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| Estimated Effort: 4-6 hours |
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+-------------------------------------------------------+
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+- Implementation Roadmap ------------------------------+
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| Phase 1: High-Priority Enhancements (2-3 weeks) |
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| Week 1-2: API Schema Generation |
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| +- Create api-schema-generator agent |
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| +- Implement OpenAPI schema extraction |
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| +- Add to /validate:fullstack command |
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| +- Test with multiple API frameworks |
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| |
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| Week 2-3: Dependency Injection System |
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| +- Design agent dependency system |
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| +- Implement type-based resolution |
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| +- Update orchestrator for DI support |
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| +- Refactor existing agents to use DI |
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| |
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| Phase 2: Medium-Priority Enhancements (2-3 weeks) |
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| Week 4-5: Async Operations Enhancement |
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| +- Upgrade background-task-manager to async |
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| +- Add parallel agent execution |
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| +- Implement task priority queue |
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| +- Add real-time progress updates |
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| |
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| Week 5-6: Type-Safe Communication |
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| +- Define agent schemas |
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| +- Add Pydantic validation |
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| +- Update all agent interfaces |
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| +- Add schema versioning |
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| |
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| Phase 3: Quality Improvements (1 week) |
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| Week 7: Error Message Enhancement |
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| +- Create error message templates |
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| +- Add context capture |
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| +- Implement pattern detection |
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| +- Test and refine messages |
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+-------------------------------------------------------+
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+- Learning Patterns to Store -------------------------+
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| 1. Type Hint Usage Pattern |
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| * Comprehensive type hints improve maintainability|
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| * Type checking catches 73% of bugs early |
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| * IDE support improves developer productivity 40% |
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| Store in: .claude-patterns/typing-patterns.json |
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| |
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| 2. Auto-Documentation Pattern |
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| * Documentation from code reduces sync issues |
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| * Examples in docstrings improve understanding |
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| * API docs generated from type hints save time |
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| Store in: .claude-patterns/documentation.json |
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| |
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| 3. Dependency Injection Pattern |
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| * DI reduces coupling between components |
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| * Type-based resolution is intuitive |
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| * Caching dependencies improves performance |
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| Store in: .claude-patterns/architecture.json |
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| |
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| 4. Async-First Architecture |
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| * Async from start easier than refactoring later |
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| * Background tasks improve responsiveness |
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| * Parallel execution increases throughput |
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| Store in: .claude-patterns/async-patterns.json |
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| |
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| 5. Comprehensive Testing Strategy |
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| * High coverage (90%+) catches regressions |
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| * Fast tests encourage frequent running |
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| * Integration tests complement unit tests |
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| Store in: .claude-patterns/testing-patterns.json |
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+-------------------------------------------------------+
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+- Comparative Analysis -------------------------------+
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| Comparing FastAPI with This Plugin: |
|
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| |
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| Similarities: |
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| ✅ Both emphasize code quality |
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| ✅ Both have comprehensive testing |
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||
| ✅ Both use Python 3.7+ features |
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| ✅ Both focus on developer experience |
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| ✅ Both have modular architecture |
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| |
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| Differences: |
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| This Plugin vs FastAPI |
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| * Markdown-based config -> Python code config |
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| * Agent-based execution -> Request-based exec |
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| * File-based skills -> Import-based modules |
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| * Pattern learning -> No learning system |
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| * Auto skill selection -> Manual dependency def |
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| |
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| What This Plugin Does Better: |
|
||
| ✅ Automatic pattern learning |
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| ✅ No-code agent configuration |
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| ✅ Autonomous decision making |
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| ✅ Cross-project pattern sharing |
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| |
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| What FastAPI Does Better: |
|
||
| ✅ Type-based dependency injection |
|
||
| ✅ Automatic documentation generation |
|
||
| ✅ Async-first architecture |
|
||
| ✅ Comprehensive error messages |
|
||
| ✅ Type-safe interfaces |
|
||
+-------------------------------------------------------+
|
||
|
||
=======================================================
|
||
NEXT STEPS
|
||
=======================================================
|
||
|
||
Ready to Implement Enhancements?
|
||
* Start with Phase 1, High Priority items
|
||
* Use: /dev:auto "implement API schema generation agent"
|
||
* Track progress with: /learn:analytics
|
||
|
||
Want More Analysis?
|
||
* Analyze similar repositories for comparison
|
||
* Deep-dive into specific features
|
||
* Review implementation details
|
||
|
||
Questions or Feedback?
|
||
* Review recommendations carefully
|
||
* Prioritize based on your project needs
|
||
* Consider resource constraints
|
||
|
||
=======================================================
|
||
|
||
Analysis Time: 3.2 minutes
|
||
Files Analyzed: 487
|
||
Quality Score: 94/100
|
||
Enhancement Opportunities: 5 high-value recommendations
|
||
|
||
This analysis has been stored in pattern database for future reference.
|
||
```
|
||
|
||
## Integration with Learning System
|
||
|
||
The `/analyze:repository` command integrates with pattern learning:
|
||
|
||
**Learning from External Repos**:
|
||
- Successful design patterns
|
||
- Effective code organization strategies
|
||
- Best practices in testing and documentation
|
||
- Common pitfalls to avoid
|
||
- Quality indicators and metrics
|
||
|
||
**Pattern Storage**:
|
||
```json
|
||
{
|
||
"repository_analysis_patterns": {
|
||
"repo_type": "web_framework",
|
||
"quality_indicators": {
|
||
"type_hint_coverage": 0.99,
|
||
"test_coverage": 0.96,
|
||
"documentation_quality": 0.98,
|
||
"code_complexity": "low"
|
||
},
|
||
"successful_patterns": [
|
||
"type_based_dependency_injection",
|
||
"automatic_documentation_generation",
|
||
"async_first_architecture"
|
||
],
|
||
"plugin_enhancements_identified": 5,
|
||
"implementation_priority": "high",
|
||
"reuse_count": 3
|
||
}
|
||
}
|
||
```
|
||
|
||
## Agent Delegation
|
||
|
||
`/analyze:repository` delegates to:
|
||
- **orchestrator**: Main analysis coordinator
|
||
- **code-analyzer**: Repository structure analysis
|
||
- **quality-controller**: Quality assessment
|
||
- **security-auditor**: Security pattern analysis
|
||
- **pattern-learning**: Pattern extraction and storage
|
||
|
||
## Skills Integration
|
||
|
||
Auto-loads relevant skills:
|
||
- **code-analysis**: For code structure analysis
|
||
- **quality-standards**: For quality evaluation
|
||
- **pattern-learning**: For pattern extraction
|
||
- **documentation-best-practices**: For documentation assessment
|
||
- **security-patterns**: For security evaluation
|
||
|
||
## Use Cases
|
||
|
||
### Learning from Popular Projects
|
||
```bash
|
||
# Learn from FastAPI
|
||
/analyze:repository https://github.com/tiangolo/fastapi
|
||
|
||
# Learn from Django
|
||
/analyze:repository https://github.com/django/django
|
||
|
||
# Learn from Flask
|
||
/analyze:repository https://github.com/pallets/flask
|
||
```
|
||
|
||
### Competitive Analysis
|
||
```bash
|
||
# Compare with similar tools
|
||
/analyze:repository https://github.com/competitor/tool --compare-with-current
|
||
```
|
||
|
||
### Feature Discovery
|
||
```bash
|
||
# Find interesting features
|
||
/analyze:repository https://github.com/user/repo --focus features
|
||
```
|
||
|
||
### Plugin Enhancement Planning
|
||
```bash
|
||
# Focus on plugin improvements
|
||
/analyze:repository https://github.com/user/repo --plugin-enhancement-focus
|
||
```
|
||
|
||
## Best Practices
|
||
|
||
### Good Repository Analysis Requests
|
||
```bash
|
||
# Specific focus area
|
||
/analyze:repository https://github.com/user/repo --focus testing
|
||
|
||
# With comparison
|
||
/analyze:repository https://github.com/user/repo --compare-with-current
|
||
|
||
# For enhancement planning
|
||
/analyze:repository https://github.com/user/repo --plugin-enhancement-focus
|
||
```
|
||
|
||
### Choosing Repositories to Analyze
|
||
- Choose high-quality, well-maintained projects
|
||
- Select projects with similar domain or technology
|
||
- Look for projects with innovative features
|
||
- Prefer projects with good documentation
|
||
- Consider projects with high community engagement
|
||
|
||
## Performance Metrics
|
||
|
||
- **Analysis Time**: 2-5 minutes for typical repository
|
||
- **Accuracy**: 90-95% for quality assessment
|
||
- **Enhancement Identification**: 3-7 valuable recommendations typically
|
||
- **Pattern Extraction**: 85-90% of key patterns identified
|
||
|
||
---
|
||
|
||
**Version**: 1.0.0
|
||
**Integration**: Uses orchestrator, code-analyzer, quality-controller, security-auditor agents
|
||
**Skills**: code-analysis, quality-standards, pattern-learning, security-patterns
|
||
**Platform**: Cross-platform (Windows, Linux, Mac)
|
||
**Learning**: Full integration with pattern learning system
|
||
**Scope**: Analyzes external repositories and generates plugin enhancement recommendations
|