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76 lines
1.4 KiB
Markdown
76 lines
1.4 KiB
Markdown
---
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description: View learned instincts with confidence scores
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agent: build
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---
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# Instinct Status Command
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Display learned instincts and their confidence scores: $ARGUMENTS
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## Your Task
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Read and display instincts from the continuous-learning-v2 system.
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## Instinct Location
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Global: `~/.claude/instincts/`
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Project: `.claude/instincts/`
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## Status Display
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### Instinct Summary
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| Category | Count | Avg Confidence |
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|----------|-------|----------------|
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| Coding | X | 0.XX |
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| Testing | X | 0.XX |
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| Security | X | 0.XX |
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| Git | X | 0.XX |
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### High Confidence Instincts (>0.8)
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```
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[trigger] → [action] (confidence: 0.XX)
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```
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### Learning Progress
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- Total instincts: X
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- This session: X
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- Promoted to skills: X
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### Recent Instincts
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Last 5 instincts learned:
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1. **[timestamp]** - [trigger] → [action]
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2. **[timestamp]** - [trigger] → [action]
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...
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## Instinct Structure
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```json
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{
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"id": "instinct-123",
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"trigger": "When I see a try-catch without specific error type",
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"action": "Suggest using specific error types for better handling",
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"confidence": 0.75,
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"applications": 5,
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"successes": 4,
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"source": "session-observation",
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"timestamp": "2025-01-15T10:30:00Z"
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}
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```
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## Confidence Calculation
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```
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confidence = (successes + 1) / (applications + 2)
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```
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Bayesian smoothing ensures new instincts don't have extreme confidence.
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---
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**TIP**: Use `/evolve` to cluster related instincts into skills when confidence is high.
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