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