context-preservation
SkillMonitoring & opsLets your agent save and restore its task state when its memory window fills up so work continues smoothly.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the context-preservation skill
About this capability
State capture and restore across context window compactions. Monitors usage thresholds and serializes quality, task, and spec state for seamless continuation.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/methodologies/pilot-shell/skills/context-preservation/SKILL.md and read by ahel’s review.
- 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"
}
}
Signals
- GitHub stars
- 2k
- Forks
- 106
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
context-preservation- Source
- github.com/a5c-ai/babysitter