Provide implementations of advanced data structures
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a5c-ai/babysitter18572026年9月17日 更新
免费在 GitHub 公开
context-preservation
State capture and restore across context window compactions. Monitors usage thresholds and serializes quality, task, and spec state for seamless continuation.
中文简介正在准备中。当前显示原文说明。
查看安装方法包含的文件（2）
- SKILL.md1.9 KB
- README.md634 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
- Serialize current spec state (tasks, statuses, acceptance criteria)
- Capture quality pipeline state (last lint/format/typecheck results)
- Save TDD progress (current phase, iteration count, scores)
- Store context monitor metrics
- Write to
.pilot-shell/state.json
2. State Restore (SessionStart / post_compact_restore)
- Read
.pilot-shell/state.jsonon session start - Restore spec task tracking state
- Restore quality baseline
- Resume TDD from last known position
- Log restoration summary
3. Threshold Monitoring
- Track context usage percentage (default threshold: 70%)
- Trigger preservation when threshold approached
- Calculate optimal preservation timing
State Schema
{
"version": "1.0.0",
"timestamp": "2026-03-02T12:00:00Z",
"spec": {
"title": "...",
"taskStatuses": [{ "id": "...", "status": "COMPLETE" }],
"currentPhase": "implement"
},
"quality": {
"lastScore": 87,
"lint": { "passed": true },
"format": { "passed": true },
"typecheck": { "passed": true }
},
"tdd": {
"iteration": 2,
"score": 92,
"compliant": true
},
"context": {
"usagePercent": 72,
"preservedAt": "2026-03-02T12:00:00Z"
}
}
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