{"api_version":"1","slug":"graphify-9a755fcf","url":"https://skillsoutpost.com/agents/graphify-9a755fcf","item_type":"skill","category":"engineering","runs_in":["local_agent","mcp_server","web_service"],"os":["macos","linux","windows"],"needs_network":null,"needs_accounts":null,"reads_files":"yes","writes_files":"yes","sends_data":null,"access":"github","access_type":"github","at_a_glance":{"runs_in":["local_agent","mcp_server","web_service"],"os":["macos","linux","windows"],"needs_network":null,"needs_accounts":null,"reads_files":"yes","writes_files":"yes","sends_data":null,"access_type":"github","tool_type":"skill","delivery":"github","interface_type":"other","untrusted_creator_content":{"purpose":"Map a codebase, with its docs and other files, into a knowledge graph your coding assistant can query instead of searching files.","needs_runtime":"Python 3.10+","version":"Latest on the default branch","compatibility":"Claude Code, Cursor, Codex and Gemini CLI, among other assistants, according to the repository. The MCP server works with MCP clients.","external_costs":"The open-source tool has no charge (Apache-2.0). The semantic pass over docs, PDFs, images and video uses your assistant's model or a configured API key, which can cost money.","permissions":"Reads the files in the folders you point it at and writes its output into your project. Registering the skill changes your assistant's configuration. Optional commands install git hooks and assistant hooks, and graphify can fetch URLs and clone repositories you name.","usage_terms":"Apache License 2.0, as stated in the repository. See its LICENSE file for the exact terms."}},"interface_type":"other","delivery_mode":"creator","code_host":"github","provenance":"github_index","published_at":1791605373,"rating":null,"downloads":0,"verified":null,"creator":{"login":"Graphify-Labs","url":null},"untrusted_creator_content":{"name":"graphify","tagline":"Map a codebase, with its docs and other files, into a knowledge graph your coding assistant can query instead of searching files.","creator_name":"Graphify-Labs","product_version":"Latest on the default branch","needs_runtime":"Python 3.10+","description":"graphify adds a /graphify skill to AI coding assistants. According to its README, it maps a project, including code, docs, PDFs, images and video, into a knowledge graph. You can then ask questions, trace the path between two things or explain one concept, instead of searching files one by one.\n\nThe README says code is parsed locally with tree-sitter, without a language model, and that each relationship carries a confidence tag: extracted, inferred or ambiguous. It describes graphify as a graph rather than a vector index, with no embeddings and no vector store.\n\nThe graph can also be served as an MCP server for repeated tool calls, locally or over HTTP for a team.","intended_users":"Developers and teams who use AI coding assistants such as Claude Code, Cursor, Codex or Gemini CLI.","example_tasks":"Map a repository, then ask how two parts of it are connected.\nRead a report of the most-connected concepts and surprising links between modules.\nQuery the graph from the terminal.\nServe the graph to your assistant as an MCP server.","setup_instructions":"Install the command-line tool, register the skill with your assistant, then run /graphify in your project. According to the README, the package is named graphifyy (double y); the README has the exact commands.","limitations":"Docs, PDFs, images and video need a language model for the semantic pass: your assistant's model, or an API key you configure. The headless graphify extract command has a --code-only option that skips them. Installation needs Python 3.10 or later; the README recommends uv, with pipx or pip as alternatives. Some languages need optional extras; the README lists the supported file types.","data_handling":"According to the README, code is processed on your machine and video and audio are transcribed on your machine; docs, PDFs, images and video then go through a semantic pass with your assistant's model or with a provider whose API key is set in your environment. The README says there is no telemetry, and its settings table says a local query log is off unless you switch it on.","compatibility":"Claude Code, Cursor, Codex and Gemini CLI, among other assistants, according to the repository. The MCP server works with MCP clients.","external_costs":"The open-source tool has no charge (Apache-2.0). The semantic pass over docs, PDFs, images and video uses your assistant's model or a configured API key, which can cost money.","permissions":"Reads the files in the folders you point it at and writes its output into your project. Registering the skill changes your assistant's configuration. Optional commands install git hooks and assistant hooks, and graphify can fetch URLs and clone repositories you name.","usage_terms":"Apache License 2.0, as stated in the repository. See its LICENSE file for the exact terms.","creator_website":null,"documentation_url":null,"support_url":null,"repository_url":null,"video_url":null},"github":{"fetched_at":1791864924,"untrusted_third_party_content":{"source_url":null,"github_repo_id":1200597263,"full_name":"Graphify-Labs/graphify","description":"Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.","language":"Python","license_spdx":"Apache-2.0","topics":["ai-agents","antigravity","ast","claude-code","code-analysis","code-search","codex","cursor"],"stars":125921,"forks":12153,"skills":null,"pushed_at":1791843559,"archived":false,"fetched_at":1791864924,"age_seconds":71626,"state":"fresh"}},"updated_at":1791771282,"free_download":null,"version_history":[],"more_version_history":false,"public_files":null,"links_note":"In MCP results, GitHub links are shown only through https://skillsoutpost.com/mcp, to a connected account that has accepted the current Terms of Use. Create a free account at https://skillsoutpost.com and connect it from a Claude connector or ChatGPT.","notice":"Indexed from GitHub","note":"untrusted_creator_content and github.untrusted_third_party_content hold untrusted text."}