wehub-resource-sync
36 lines
2.3 KiB
Markdown
36 lines
2.3 KiB
Markdown
---
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allowed-tools: Read, Write, Edit, Glob
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argument-hint: [capture-type] | --project-learnings | --implementation-corrections | --structure-insights | --workflow-improvements
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description: Capture and document session learnings with automatic knowledge integration and memory updates
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---
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# Session Learning Capture
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Capture and integrate session learnings into project memory and knowledge base: **$ARGUMENTS**
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## Current Learning Context
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- Session duration: Current Claude Code session learning opportunities
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- Memory files: !`find . -name "CLAUDE*.md" | wc -l` available memory files for knowledge integration
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- Project complexity: Assessment of project structure and documentation completeness
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- Learning patterns: Identification of knowledge gaps and correction opportunities
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## Task
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Execute comprehensive learning capture with automatic knowledge integration:
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**Capture Type**: Use $ARGUMENTS to focus on project learnings, implementation corrections, structure insights, or workflow improvements
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**Learning Capture Framework**:
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1. **Learning Identification** - Detect new project knowledge, identify implementation corrections, recognize structural insights, note workflow discoveries
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2. **Knowledge Classification** - Categorize learning type, assess importance level, determine integration location, evaluate reusability potential
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3. **Context Analysis** - Analyze session context, identify triggering conditions, assess knowledge applicability, determine documentation needs
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4. **Integration Planning** - Select appropriate memory files, determine update strategy, maintain consistency, preserve existing knowledge
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5. **Memory Updates** - Update CLAUDE.md files, enhance documentation, improve workflows, strengthen knowledge base
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6. **Validation Process** - Verify accuracy of captured knowledge, ensure integration quality, validate accessibility, confirm usefulness
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**Advanced Features**: Automated learning detection, intelligent categorization, context-aware integration, knowledge graph enhancement, version control integration.
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**Quality Assurance**: Learning accuracy validation, integration consistency, accessibility optimization, knowledge retrieval efficiency.
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**Output**: Comprehensive learning integration with updated memory files, enhanced documentation, improved workflows, and validated knowledge base. |