context-preservation
State capture and restore across context window compactions. Monitors usage thresholds and serializes quality, task, and spec state for seamless continuation.
npx skills add a5c-ai/babysitter --skill context-preservation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
- 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.json` on 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 ```json { "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" } } ```
- 2. State Restore (SessionStart / postcompactrestore)
- 3. Threshold Monitoring
- State Schema
What does the context-preservation skill do?
State capture and restore across context window compactions. Monitors usage thresholds and serializes quality, task, and spec state for seamless continuation.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill context-preservation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.