What should I do if the project knowledge becomes outdated?

You can run the /coconut-knowledge:update command to refresh the knowledge graph with the latest project context.

Does it support multiple projects?

Yes, it automatically generates unique collection names based on the Git remote URL to ensure data separation between different repositories.

How does the Knowledge Graph Context skill store data?

The skill utilizes ChromaDB via the coconut-knowledge-mcp to store and retrieve vector-embedded documentation and architectural notes.

How do I filter search results for specific information?

You can use metadata filters such as where={'type': 'architecture'} or where={'type': 'decision'} to narrow down your queries.

Knowledge Graph Context

Name: Knowledge Graph Context
Author: FrancisVarga

byFrancisVarga

学習とドキュメンテーション

Navigates and queries project architecture, design decisions, and component relationships using a ChromaDB-powered knowledge graph.

概要

The Knowledge Graph Context skill empowers Claude to move beyond raw code analysis by accessing a high-level conceptual map of your project stored in ChromaDB. By retrieving structured information about system architecture, design rationale, and integration patterns, this skill provides the 'why' and 'how' behind your codebase. It is essential for developers who need to understand complex dependencies, maintain architectural consistency, or onboard quickly into large-scale repositories where documentation is often disconnected from the source code.

主な機能

ChromaDB-powered vector search for project-wide conceptual knowledge
Seamless update workflow to keep project context synchronized with development
Automated collection management based on Git remote URLs
Filtering capabilities to isolate specific documentation types like design rationale
0 GitHub stars
Categorized node types for architecture, components, workflows, and decisions

ユースケース

Mapping relationships between decoupled services and internal API integrations
Verifying design decisions and rationale before implementing major refactors
Onboarding to complex codebases by querying architectural overviews and design patterns

概要

主な機能

ChromaDB-powered vector search for project-wide conceptual knowledge
Seamless update workflow to keep project context synchronized with development
Automated collection management based on Git remote URLs
Filtering capabilities to isolate specific documentation types like design rationale
0 GitHub stars
Categorized node types for architecture, components, workflows, and decisions

ユースケース

Mapping relationships between decoupled services and internal API integrations
Verifying design decisions and rationale before implementing major refactors
Onboarding to complex codebases by querying architectural overviews and design patterns