refactor: optimize workflow templates and prompt structures

- Streamlined analysis templates (architecture, pattern, performance, quality, security)
- Simplified development templates (component, debugging, feature, refactor, testing)
- Optimized documentation templates (api, folder-navigation, module-readme, project-architecture, project-examples, project-readme)
- Enhanced planning templates (concept-eval, migration, task-breakdown)
- Improved verification templates (codex-technical, cross-validation, gemini-strategic)
- Updated claude-module-unified memory template
- Refined workflow-architecture documentation

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
catlog22
2025-10-16 13:48:35 +08:00
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Analyze performance characteristics and optimization opportunities:
Analyze performance characteristics and optimization opportunities.
## Required Analysis:
## CORE CHECKLIST ⚡
□ Focus on measurable metrics (e.g., latency, memory, CPU usage)
□ Provide file:line references for all identified bottlenecks
□ Distinguish between algorithmic and resource-based issues
□ Apply RULES template requirements exactly as specified
## REQUIRED ANALYSIS
1. Identify performance bottlenecks and resource usage patterns
2. Assess algorithm efficiency and data structure choices
3. Evaluate caching strategies and optimization techniques
4. Review memory management and resource cleanup
5. Document performance metrics and improvement opportunities
## Output Requirements:
- Performance bottleneck identification with specific locations
## OUTPUT REQUIREMENTS
- Performance bottleneck identification with specific file:line locations
- Algorithm complexity analysis and optimization suggestions
- Caching pattern documentation and recommendations
- Memory usage patterns and optimization opportunities
- Prioritized list of performance improvements
Focus on measurable performance improvements and concrete optimization strategies.
## VERIFICATION CHECKLIST ✓
□ All CONTEXT files analyzed for performance characteristics
□ Every bottleneck is backed by a code reference (file:line)
□ Both algorithmic and resource-related issues are covered
□ Recommendations are prioritized by potential impact
Focus: Measurable performance improvements and concrete optimization strategies.