Session Learning Capture
Capture and document session learnings with automatic knowledge integration and memory updates
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- a344359459263d73d8948651c789244093c02e4e
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Source preview
cli-tool/components/commands/team/session-learning-capture.md
--- allowed-tools: Read, Write, Edit, Glob argument-hint: [capture-type] | --project-learnings | --implementation-corrections | --structure-insights | --workflow-improvements description: Capture and document session learnings with automatic knowledge integration and memory updates --- # Session Learning Capture Capture and integrate session learnings into project memory and knowledge base: **$ARGUMENTS** ## Current Learning Context - Session duration: Current Claude Code session learning opportunities - Memory files: !`find . -name "CLAUDE*.md" | wc -l` available memory files for knowledge integration - Project complexity: Assessment of project structure and documentation completeness - Learning patterns: Identification of knowledge gaps and correction opportunities ## Task Execute comprehensive learning capture with automatic knowledge integration: **Capture Type**: Use $ARGUMENTS to focus on project learnings, implementation corrections, structure insights, or workflow improvements **Learning Capture Framework**: 1. **Learning Identification** - Detect new project knowledge, identify implementation corrections, recognize structural insights, note workflow discoveries 2. **Knowledge Classification** - Categorize learning type, assess importance level, determine integration location, evaluate reusability potential 3. **Context Analysis** - Analyze session context, identify triggering conditions, assess knowledge applicability, determine documentation needs 4. **Integration Planning** - Select appropriate memory files, determine update strategy, maintain consistency, preserve existing knowledge 5. **Memory Updates** - Update CLAUDE.md files, enhance documentation, improve workflows, strengthen knowledge base 6. **Validation Process** - Verify accuracy of captured knowledge, ensure integration quality, validate accessibility, confirm usefulness **Advanced Features**: Automated learning detection, intelligent categorization, context-aware integration, knowledge graph enhancement, version control integration. **Quality Assurance**: Learning accuracy validation, integration consistency, accessibility optimization, knowledge retrieval efficiency. **Output**: Comprehensive learning integration with updated memory files, enhanced documentation, improved workflows, and validated knowledge base.
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MIT License Copyright (c) 2025 Daniel (San) Ávila Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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