claude-starter

The rag-context skill acts as an intelligent bridge between your codebase's documentation and Claude's decision-making process. By utilizing Archon RAG (Retrieval-Augmented Generation) infrastructure, it ensures that the AI assistant remains fully synchronized with your project's evolving architecture, design patterns, and team-specific coding standards. Designed for developers and architects, it is particularly effective during large-scale refactoring, new feature implementation, or navigating unfamiliar segments of a repository. It removes the friction of manual documentation lookups by proactively querying the knowledge base whenever a complex request is detected, such as building new API endpoints, defining system interfaces, or adhering to strict quality conventions.

• Automatically triggers retrieval queries based on natural language intent (e.g., implementing features, asking about architectural patterns).

• Synthesizes search results into structured reports covering architecture overviews, design patterns, API specifications, and standard code examples.

• Maintains consistency across the project by suggesting code that aligns with established best practices and existing implementations.

• Reduces context-switching latency by injecting highly relevant documentation directly into the active session.

• Minimizes errors by proactively flagging team-specific coding standards and known anti-patterns.

• Best for: Senior developers, team leads, and contributors working on long-term maintainability of complex repositories.

• Typical input: Natural language requests like 'Implement a new authentication module' or 'What is the standard approach for error handling in our API?'.

• Practical constraint: Requires a pre-configured Archon RAG knowledge base indexed with your project docs and repository patterns.

• Workflow tip: Ensure your project documentation is periodically refreshed within the knowledge base for optimal semantic search performance.

• Integration: Operates seamlessly within the Claude Code environment as an autonomous skill, mapping specific domains like authentication or payment processing to relevant code examples.