What problem does it solve?
Feature context.md files often fall out of sync with actual session findings, failure patterns, and implementation learnings, leading to stale documentation, repeated mistakes, and misaligned team context for ongoing feature work.
Core Features & Use Cases
- Automated Context Updates: Merges new failure log entries, updates recurring failure pattern counts, and adds exportable lessons learned to feature context files.
- Drift Tracking & Alerts: Maintains review tracking metadata and flags pattern threshold alerts to surface recurring issues that need team-wide attention.
- Auto-Archiving & Validation: Automatically archives old entries when files exceed size limits and validates context file structure before writing changes to prevent data loss.
- Use Case: A development team running iterative session reviews for a feature can use this skill to automatically update the feature's context document after each review, eliminating manual documentation work and ensuring all team members have access to the latest insights and failure patterns.
Quick Start
Use the context-sync skill to update the active feature's context.md file with the latest session review findings, failure patterns, and lessons learned.