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https://github.com/SuperClaude-Org/SuperClaude_Framework.git
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9c3608a783
- Removed references to validate-references.sh from YAML files - Removed expand-references.sh from settings.local.json - Cleaned up @pattern/@flags references from shared files - Updated documentation to reflect current no-code implementation - Simplified reference-index.yml to remove @include patterns This cleanup removes confusion from the abandoned pattern reference system while maintaining all functionality. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
53 lines
1.9 KiB
YAML
53 lines
1.9 KiB
YAML
# Command Result Sharing & Context Mgmt
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## Enhanced Result Storage
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```yaml
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Cache Duration: Current session+persistent patterns
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Storage Format:
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analyze: {issues[], metrics{}, hotspots[], patterns[]}
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build: {artifacts[], errors[], warnings[], perf{}}
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test: {passed[], failed[], coverage%, flaky[]}
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scan: {vulns[], risks{}, fixes[], compliance{}}
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design: {arch{}, patterns[], decisions[]}
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troubleshoot: {findings[], root_causes[], solutions[]}
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Reuse Rules:
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Same target+flags: Use cache | Modified files: Invalidate
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Chained commands: Auto-pass results | Time limit: 30min
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Persistent patterns: Store successful workflows across sessions
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Context sharing: Pass relevant subset→next command
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```
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## Advanced Context Chaining
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```yaml
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Intelligent Workflows:
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analyze→improve: Use found issues as targets + priority ranking
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build→test: Focus on changed modules + integration points
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scan→fix: Prioritize critical vulnerabilities + context
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design→build: Apply architectural patterns + decisions
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troubleshoot→improve: Use root cause analysis for targeted fixes
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any→deploy: Verify all checks passed + readiness assessment
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Context Enrichment:
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File Change Detection: Track modifications since last analysis
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Dependency Mapping: Understand component relationships
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Performance Baseline: Compare against historical metrics
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Quality Trends: Track improvement over time
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User Patterns: Learn from successful workflows
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```
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## Smart Context Optimization
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```yaml
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Memory Management:
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Essential Context: Keep critical information accessible
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Token Optimization: Compress verbose results for efficiency
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Selective Loading: Load only needed context per command
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Background Processing: Precompute likely needed context
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Pattern Learning:
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Workflow Recognition: Identify common command sequences
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Success Patterns: Learn from effective approaches
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Error Prevention: Remember failure patterns to avoid
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User Preferences: Adapt to individual working styles
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```
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