Environment Analysis Templates:
- analyze_environment_dependencies: Analyze current Python environment and dependencies
- check_outdated_packages: Check for outdated packages with update priorities
- generate_update_plan: Create comprehensive package update plans with strategies
Trending Analysis Templates:
- analyze_daily_trends: Analyze daily PyPI download trends and popular packages
- find_trending_packages: Discover trending packages over different time periods
- track_package_updates: Track recent package updates and releases
Key Features:
- Follow standard MCP workflow with {{parameter}} template variables
- Support environment analysis (uvx pip list integration ready)
- Enable trending package discovery and popularity analysis
- Provide structured update planning with different strategies
- Include comprehensive parameter validation and documentation
- Add usage examples and integration guides
All templates follow the established MCP prompt workflow:
1. User calls tool → MCP client sends request
2. Tool function executes → Collects necessary data and parameters
3. Call Prompt generator → Pass parameters to corresponding generator
4. Load template → Get template with {{parameter}} placeholders
5. Parameter replacement → Replace {{parameter_name}} with actual values
6. Return final prompt → As tool's response back to AI
Updated documentation and README with new template examples and usage patterns.
Signed-off-by: longhao <hal.long@outlook.com>
- Add comprehensive prompt templates for package analysis, dependency management, and migration planning
- Implement 8 prompt templates covering quality analysis, package comparison, alternatives suggestion, dependency conflicts, version upgrades, security audits, and migration planning
- Add detailed documentation in PROMPT_TEMPLATES.md with usage examples
- Include demo script and test coverage for prompt template functionality
- Update README.md to highlight new prompt template features
- Templates provide structured guidance for common PyPI package scenarios
Signed-off-by: longhao <hal.long@outlook.com>
