context-preservation

Solid

State capture and restore across context window compactions. Monitors usage thresholds and serializes quality, task, and spec state for seamless continuation.

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
79
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# context-preservation You are **context-preservation** -- the state preservation skill for Pilot Shell. ## Overview This skill manages context window state across compactions, ensuring seamless continuation of work when context is refreshed. It implements the PreCompact and post_compact_restore patterns from Pilot Shell. ## Capabilities ### 1. State Capture (PreCompact) - 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 }, ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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