core-context-management-learning-from-past-work
Über
Diese Fähigkeit analysiert automatisch Ihre Entwicklungsmuster über Sitzungen hinweg, um die Kontextnutzung von Claude zu optimieren. Sie verfolgt häufig referenzierte Dateien, identifiziert selten genutzte Inhalte und erstellt tägliche Verbesserungsberichte. Nutzen Sie sie, um ein effizientes Kontextmanagement aufrechtzuerhalten und datengestützte Vorschläge für eine bessere Claude-Leistung zu erhalten.
Schnellinstallation
Claude Code
Empfohlennpx skills add vamseeachanta/workspace-hub/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/core-context-management-learning-from-past-workKopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren
Dokumentation
Learning from Past Work (+2)
Learning from Past Work
The skill tracks patterns across sessions:
# .claude/state/context-patterns.yaml
patterns:
frequently_referenced:
- ".claude/docs/agents.md" # 45 loads
- ".claude/docs/execution-patterns.md" # 32 loads
rarely_used:
- "verbose section X" # 0 references in 30 days
*See sub-skills for full details.*
## Daily Analysis Tasks
1. **Size Check**: Validate all CLAUDE.md files against limits
2. **Pattern Analysis**: Analyze git commits for instruction patterns
3. **Usage Tracking**: Check which docs were loaded
4. **Suggestion Generation**: Create improvement proposals
5. **Report Generation**: Output daily health report
## Improvement Workflow
- Validate sizes → Report violations
- Analyze patterns → Identify redundancy
- Check usage → Find unused content
- Generate suggestions → Propose changes
- Apply approved changes → Update files
- Commit → Track improvements
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GitHub Repository
Verwandte Skills
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subagent-driven-development
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DesignUse the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.
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