strategic-compact

Solid

Monitor context usage and suggest compaction at logical milestones

AI & Automation 17 stars 4 forks Updated today MIT

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Quality Score: 86/100

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Description 5%
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Skill Content

# Strategic Compact Proactively manage context window to prevent degraded performance in long sessions. ## When to Use - Context usage exceeds 60% - After completing a major planning phase - After finishing implementation, before review - Before starting a fundamentally different task - When responses start feeling slower or less precise ## Procedure 1. **Assess Context State** - Estimate current context consumption - Identify which content is load-bearing vs stale 2. **Identify Compaction Point** Suggest compaction at natural milestones: - After planning: decisions locked, plan documented - After implementation: code committed, tests passing - Before review: implementation complete, shifting to review mode - After triage: results documented, moving to fixes 3. **Preserve Key State** Before suggesting `/clear`, ensure these are persisted: - Active task and status in `tasks/todo.md` - Key decisions in handoff doc or `tasks/lessons.md` - Any uncommitted work is committed or stashed - File paths of actively-edited files 4. **Suggest Compaction** Output: ``` Context check: ~{percent}% used Milestone: {what was just completed} Recommendation: {compact now / safe to continue / approaching limit} Before /clear: - [ ] Handoff doc written - [ ] Work committed - [ ] Todo updated ``` 5. **Post-Compaction Recovery** After `/clear`, use `session-init` skill to resto...

Details

Author
mshadmanrahman
Repository
mshadmanrahman/pm-pilot
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

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