メニュー
Use when exploring codebase architecture, structure, components, finding code, understanding relationships between modules, or answering "how does X work" questions. Graphify queries a pre-built knowledge graph for scoped results. Use before reading files or grepping.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
FastMCP documentation navigator and implementation guide. Use when Agent needs to answer FastMCP questions, build or debug FastMCP servers or clients, configure authentication or authorization, choose transports or deployment patterns, integrate FastMCP with FastAPI, OpenAPI, ChatGPT, Claude, Cursor, Gemini, or inspect package-level FastMCP API reference details from the bundled docs.
Structural code search, linting, and rewriting using AST-level pattern matching. Use when users need to search code by syntax structure (not text), write custom lint rules, perform codemods across a codebase, replace regex grep for precise AST-aware queries, or create reusable lint rule sets. Covers CLI usage, pattern syntax, rule system (atomic/relational/composite/utility), lint rule authoring, rewrite/transform, project setup, and testing.
Use when working with LangChain or LangGraph in this repo, especially for agent construction, middleware, state graphs, persistence, memory, retrieval, runtime context, or durable execution patterns.
Help users start or troubleshoot a Cognee project by choosing the right installation path, creating a clean Python environment, configuring LLM and embedding providers, installing optional extras, running the first remember/recall smoke test, and resolving dependency setup errors.
Use when a subsystem feels hard to change because callers know too much about internals, configuration is duplicated, helper sprawl is growing, or you need to hide complexity behind a small stable interface in a large codebase.
Use when working with LangChain or LangGraph in this repo, especially for agent construction, middleware, state graphs, persistence, memory, retrieval, runtime context, or durable execution patterns.
| name | graphify |
| description | Use when exploring codebase architecture, structure, components, finding code, understanding relationships between modules, or answering "how does X work" questions. Graphify queries a pre-built knowledge graph for scoped results. Use before reading files or grepping. |
Query the project's knowledge graph for architecture, structure, and code relationships. Prefer graphify over grep/read for exploration.
Graph must exist at graphify-out/. If missing, run graphify build . first.
# Architecture / structure questions
graphify query "how does auth work"
graphify query "where is the service layer"
# Relationship between two things
graphify path "AuthService" "UserRepository"
# Focused concept explanation
graphify explain "circuit breaker pattern"
# Update graph after code changes (no API cost)
graphify update .
graphify query for any codebase question — returns scoped subgraph (5-10 nodes), not full filesgraphify path for "how does A connect to B"graphify explain for "what is X in this codebase"graphify update .graphify queries return ~200-500 tokens vs reading entire files (~2K-20K tokens). Always query first, read only when modifying.