Memory Spring Cleaning
Clean and organize project memory files with implementation synchronization and pattern updates
npx claude-code-templates@latest --command team/memory-spring-cleaning Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) · v2.12.0 · 2026-10-23
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Content
Memory Spring Cleaning
Clean and synchronize project memory with current implementation patterns: $ARGUMENTS
Current Memory Context
- Memory files: !
find . -name "CLAUDE*.md" | wc -lCLAUDE.md files in project - Documentation: !
find . -name "README*" -o -name "*.md" | wc -ltotal documentation files - Last update: !
find . -name "CLAUDE.md" -exec stat -c "%y" {} \; 2>/dev/null | head -1 || echo "No CLAUDE.md found" - Implementation drift: Analysis of documented vs actual patterns
Task
Execute comprehensive memory cleanup with implementation synchronization:
Cleanup Scope: Use $ARGUMENTS to focus on CLAUDE.md files, general documentation, outdated pattern identification, or implementation synchronization
Memory Cleaning Framework:
- Memory File Discovery - Locate all CLAUDE.md and documentation files, assess hierarchy and organization, identify redundant content
- Implementation Analysis - Compare documented patterns with actual code, identify implementation drift, assess accuracy gaps
- Pattern Validation - Verify documented conventions, validate code examples, check dependency accuracy, assess technology stack alignment
- Content Optimization - Remove outdated information, consolidate duplicate content, improve organization structure, enhance clarity
- Synchronization Updates - Update development commands, refresh technology stack references, sync architectural patterns, validate workflows
- Quality Assurance - Ensure consistency across files, validate markdown formatting, check link integrity, maintain version alignment
Advanced Features: Automated pattern detection, implementation drift analysis, cross-reference validation, documentation health scoring.
Memory Health: Content freshness metrics, accuracy validation, usage pattern analysis, maintenance scheduling recommendations.
Output: Cleaned and synchronized memory files with updated patterns, validated implementations, and maintenance recommendations.