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- 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>
30 lines
1.3 KiB
Plaintext
30 lines
1.3 KiB
Plaintext
Analyze performance characteristics and optimization opportunities.
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## CORE CHECKLIST ⚡
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□ Focus on measurable metrics (e.g., latency, memory, CPU usage)
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□ Provide file:line references for all identified bottlenecks
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□ Distinguish between algorithmic and resource-based issues
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□ Apply RULES template requirements exactly as specified
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## REQUIRED ANALYSIS
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1. Identify performance bottlenecks and resource usage patterns
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2. Assess algorithm efficiency and data structure choices
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3. Evaluate caching strategies and optimization techniques
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4. Review memory management and resource cleanup
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5. Document performance metrics and improvement opportunities
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## OUTPUT REQUIREMENTS
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- Performance bottleneck identification with specific file:line locations
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- Algorithm complexity analysis and optimization suggestions
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- Caching pattern documentation and recommendations
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- Memory usage patterns and optimization opportunities
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- Prioritized list of performance improvements
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## VERIFICATION CHECKLIST ✓
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□ All CONTEXT files analyzed for performance characteristics
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□ Every bottleneck is backed by a code reference (file:line)
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□ Both algorithmic and resource-related issues are covered
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□ Recommendations are prioritized by potential impact
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Focus: Measurable performance improvements and concrete optimization strategies.
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