codebase-context-skill

🥈Silver

Generates context documents for AI agents to understand codebases, with automatic staleness detection. Benefits developers and operations teams by accelerating onboarding and reducing context-switching. Integrates with Claude Code agents to provide immediate codebase understanding.

710Updated 1mo ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/airowe/codebase-context-skill.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/airowe/codebase-context-skill

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Generate a context document for the [CODEBASE] repository. Include key details about the architecture, major components, and any unique patterns or conventions. Flag any files or sections that appear stale or outdated. Focus on areas relevant to [TEAM/ROLE] (e.g., frontend, backend, DevOps).

Example Output

Context Document for 'E-Commerce Platform' Repository

Architecture Overview:
The codebase follows a microservices architecture with the following key components:
- User Service: Handles authentication and user profiles (Node.js)
- Product Service: Manages product catalog and inventory (Python)
- Order Service: Processes orders and payments (Java)
- Frontend: React-based SPA with Redux state management

Unique Patterns:
- Event-driven communication via Kafka
- Feature flags for gradual rollouts
- Custom logging framework for distributed tracing

Stale Areas:
- The 'legacy-checkout' module hasn't been modified in 18 months
- Documentation in the 'docs' folder is outdated (last updated 2 years ago)
- Several deprecated API endpoints remain in the 'order-service'

Recommended Actions:
1. Archive or refactor the 'legacy-checkout' module
2. Update documentation to reflect current architecture
3. Deprecate unused API endpoints

Last Updated: 2023-11-15
Staleness Threshold: 12 months