repo-context-sync

Extract repository context via sparse checkout, diff tracking, and summaries.

2|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/DojoGenesis/gateway --skill repo-context-sync
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: repo-context-sync
Source: https://github.com/DojoGenesis/gateway/tree/main/plugins/system-health/skills/repo-context-sync
Command: npx skills add https://github.com/DojoGenesis/gateway --skill repo-context-sync

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ground reasoning with live codebase context by extracting focused parts of a repository and producing concise summaries of structure, recent changes, and patterns that influence decisions.

Core Features & Use Cases

  • Sparse, targeted repo syncing to unlock contextual understanding for refactoring, architecture decisions, and design prompts.
  • Diff tracking and context mapping to surface meaningful changes, patterns, and languages.
  • Integration-ready grounding by producing .diff_summary.md and .context_summary.md, plus a persistent state file for incremental syncing.

Quick Start

Clone a repository with sparse checkout using the smart_clone.sh script and then generate a diff summary and a context map with diff_tracker.py and context_mapper.py to surface actionable context.

Frequently Asked Questions about repo-context-sync

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I ground LLM reasoning with live codebase context for refactoring?

You ground LLM reasoning with live codebase context by using sparse checkout to extract focused repository sections and generating concise summaries of structure, recent diffs, and patterns. This provides up-to-date context directly influencing architecture decisions and refactoring tasks.

What is the best way to track codebase diffs and map repository context?

The best way to track codebase diffs and map repository context is using deterministic tooling that surfaces meaningful changes, patterns, and languages. It saves these actionable results into .diff_summary.md and .context_summary.md files for integration-ready grounding.

How do I clone a repository with sparse checkout for targeted context syncing?

To clone a repository with sparse checkout for targeted context syncing, run the smart_clone.sh script to extract only relevant directories. This approach unlocks contextual understanding for task planning and design prompts without downloading the entire codebase.

Does incremental repo syncing require maintaining a persistent state file?

Yes, incremental repo syncing requires maintaining a persistent state file named .repo-sync-state.json. This file tracks your repository's sync state, allowing the system to identify and extract only new or changed context during subsequent updates.

Can I use repo context summaries for architecture decisions and task planning?

Yes, you can use repo context summaries for architecture decisions and task planning because they surface meaningful codebase patterns, languages, and recent changes. These concise summaries provide the focused, live repository grounding needed to inform complex software engineering.

When should I not use sparse checkout for codebase context extraction?

You should avoid sparse checkout for codebase context extraction when your task requires analyzing the entire repository structure rather than focused directories. It is designed for targeted grounding, so full-codebase architectural audits may miss untracked peripheral modules.