analysis
About
The analysis skill helps developers systematically evaluate GitHub issues by extracting requirements, assessing technical feasibility, and identifying dependencies and security risks. It's designed for use at the start of feature implementation to understand scope and potential challenges. The skill utilizes GitHub MCP tools to read issues and comments, providing a foundation for informed development planning.
Documentation
Feature Analysis Skill
Purpose
This skill provides systematic analysis of feature requirements from GitHub issues, evaluating technical feasibility, dependencies, security implications, and implementation scope.
When to Use
- Starting feature implementation from a GitHub issue
- Need to understand requirements and acceptance criteria
- Evaluating technical approach and dependencies
- Identifying security considerations early
- Scoping effort and potential risks
Analysis Workflow
1. Requirements Extraction
From GitHub Issue:
- Parse issue title, description, and acceptance criteria
- Extract functional and non-functional requirements
- Identify user stories and use cases
- Review issue comments for clarifications
- Check linked issues and dependencies
Deliverable: Structured requirements list with priorities
2. Technical Stack Evaluation
Assess Technology Fit:
- Review project's TECH-STACK.md for current technologies
- Identify required libraries/frameworks
- Check version compatibility
- Evaluate performance implications
- Consider maintenance burden
Tools to Use:
- Read TECH-STACK.md and relevant documentation
- Use
scripts/analyze_deps.pyfor dependency analysis - Grep codebase for similar patterns
Deliverable: Technology recommendations with rationale
3. Dependency Analysis
Identify Dependencies:
- External libraries (pip/npm/cargo packages)
- Internal modules and services
- Database schema changes
- API contracts
- Configuration requirements
Check for Conflicts:
# Use the analyze_deps script
python scripts/analyze_deps.py --feature <feature-name>
Deliverable: Dependency map with conflict analysis
4. Security Assessment
Review Security Implications:
- Authentication/authorization requirements
- Input validation needs
- Data sensitivity (PII, credentials, etc.)
- API security (rate limiting, CORS, etc.)
- Dependency vulnerabilities
Use Checklist:
Refer to security-checklist.md for systematic review
Deliverable: Security risk assessment and mitigation plan
5. Scope Definition
Define Boundaries:
- Core functionality (must-have)
- Extended functionality (should-have)
- Future enhancements (could-have)
- Out of scope (won't-have)
Estimate Complexity:
- Lines of code (rough estimate)
- Number of modules/files
- Test coverage requirements
- Documentation needs
Deliverable: Scope statement with effort estimate
Output Format
Create an analysis report with:
# Feature Analysis: [Feature Name]
## Requirements Summary
- [ ] Requirement 1
- [ ] Requirement 2
...
## Technical Approach
**Recommended Stack:** Python 3.9+, pytest, pydantic
**Key Libraries:** [list]
**Architecture Pattern:** [pattern]
## Dependencies
**External:**
- package-name==version (reason)
**Internal:**
- module.submodule (reason)
## Security Considerations
**Risk Level:** Low/Medium/High
**Key Concerns:**
- [concern 1]: [mitigation]
## Scope
**In Scope:**
- [feature 1]
**Out of Scope:**
- [deferred item]
**Effort Estimate:** [hours/days]
## Recommendations
1. [Recommendation 1]
2. [Recommendation 2]
Best Practices
Requirements Analysis:
- Always check requirements-checklist.md for completeness
- Clarify ambiguous requirements before proceeding
- Document assumptions explicitly
- Consider edge cases and error scenarios
Technical Evaluation:
- Prefer existing project patterns over new approaches
- Consider maintainability over cleverness
- Check for similar existing implementations
- Evaluate performance implications early
Security First:
- Run security-checklist.md for all features
- Flag high-risk items for review
- Never skip input validation planning
- Consider data privacy implications
Scope Management:
- Be conservative with estimates
- Identify MVP vs. enhanced features
- Call out dependencies that block progress
- Document what's explicitly out of scope
Supporting Resources
- requirements-checklist.md: Systematic requirements validation
- security-checklist.md: Security considerations framework
- scripts/analyze_deps.py: Automated dependency analysis
Example Usage
# 1. Fetch issue details
Use mcp__github-mcp__get_issue to retrieve issue #<number>
# 2. Review requirements
Work through requirements-checklist.md systematically
# 3. Analyze dependencies
python scripts/analyze_deps.py --feature feature-name
# 4. Security review
Complete security-checklist.md
# 5. Generate analysis report
Create report in docs/implementation/feature-name-analysis.md
Integration with Feature Implementation Flow
Input: GitHub issue number Process: Systematic analysis using checklists and scripts Output: Analysis report + recommendations Next Step: Design skill for architecture planning
Quick Install
/plugin add https://github.com/matteocervelli/llms/tree/main/analysisCopy and paste this command in Claude Code to install this skill
GitHub 仓库
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