Files
Claude-Code-Workflow/.claude/workflows/cli-templates/prompts/analysis/03-analyze-performance.txt
catlog22 854464b221 refactor: 重组CLI模板系统,采用优先级前缀命名
主要变更:
- 模板重命名:采用优先级前缀(01-通用, 02-专用, 03-领域特定)
- 目录调整:bug-diagnosis从development移至analysis
- 引用更新:5个命令文件中21处模板引用更新为新路径
- 路径统一:所有引用统一使用完整路径格式

模板变更详情:
- analysis/:8个模板(01-trace-code-execution, 01-diagnose-bug-root-cause等)
- development/:5个模板(02-implement-feature, 02-refactor-codebase等)
- planning/:5个模板(01-plan-architecture-design, 02-breakdown-task-steps等)
- memory/:1个模板(02-document-module-structure)

命令文件更新:
- cli/mode/bug-diagnosis.md(6处引用)
- cli/mode/code-analysis.md(6处引用)
- cli/mode/plan.md(6处引用)
- task/execute.md(1处引用)
- workflow/tools/test-task-generate.md(2处引用)

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-06 10:57:17 +08:00

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Analyze performance characteristics and optimization opportunities.
## 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 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
## 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.