菜单
Periodic "sleep-like" memory optimization. Detects patterns, resolves conflicts, applies decay, and transfers knowledge across contexts.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Guide for manually creating custom skills from scratch with templates and validation. Use when designing NEW skills with specific requirements. For auto-generating skills from existing git repos, use /generate-skills instead.
Display QAVR (Q-Value Augmented Vector Retrieval) system status including mode, interaction counts, top memories by Q-value, and configuration.
Enables continuous self-improvement through learning from failures, user corrections, and capability gaps. Integrates with QAVR for learned memory ranking.
Stress-test solutions using the STRIKE framework. Systematically attack proposals to find weaknesses before deployment.
Exhaustive solution space exploration. Use when you need ALL viable options (not just the best), solution space is unknown, or you can't afford to miss alternatives.
| name | memory-consolidation |
| description | Periodic "sleep-like" memory optimization. Detects patterns, resolves conflicts, applies decay, and transfers knowledge across contexts. |
| metadata | {"clawdbot":{"requires":{"bins":["python3"]}}} |
| user-invocable | true |
Cross-session learning through periodic memory optimization, inspired by how biological sleep consolidates memories.
| Frequency | Type | Duration | Purpose |
|---|---|---|---|
| Daily | Light | ~2 min | Health check, quick cleanup |
| Weekly | Standard | ~10 min | Full consolidation |
| Monthly | Deep | ~30 min | System-wide optimization |
Identify recurring patterns across memories:
Create higher-level abstractions:
Detect and resolve contradictions:
Apply time-based forgetting:
Share useful patterns between contexts:
Update Q-value rankings based on consolidation:
## Memory Consolidation Report
**Date**: [timestamp]
**Type**: [Light/Standard/Deep]
**Duration**: [X minutes]
### Health Metrics
- Total memories: X
- Active (accessed 30d): X
- Dormant (no access 30d): X
- Conflicts detected: X
- Patterns identified: X
### Actions Taken
- Memories merged: X
- Memories pruned: X
- Schemas created: X
- Conflicts resolved: X
- Cross-context transfers: X
### Top Patterns Identified
1. [pattern description]
2. [pattern description]
3. [pattern description]
### Recommendations
- [suggestion for improvement]
### System Health Score
[X/100]
/memory-consolidation daily # Quick health check
/memory-consolidation weekly # Standard consolidation
/memory-consolidation monthly # Deep optimization
Configure in clawdbot.json:
{
"memory": {
"consolidation": {
"daily": "03:00",
"weekly": "sunday 04:00",
"monthly": "1st 05:00"
}
}
}