Graphic tutorial: three commands to turn the entire project into a queryable knowledge graph, agents no longer need to flip the file图文教程：三条命令把整个项目变成可查询的知识图谱，代理再也不用翻文件

First confirm the Python version: python --version requires more than 3.10. Then install uv, winget install astral-sh.uv for Windows, brew install python @ 3.12 uv for macOS.

Execute uv tool install graphifyy (note the official package name of double y, the command itself is called graphify). After installing, if the command is not found, run uv tool update-shell once and restart the terminal.

You can also use pipx install graphifyy without a uv; the source code package provided in this article can also be installed offline.

Execute graphify install in the project directory. It scans what assistant is installed on the machine and automatically writes skills into it. Claude Code, Codex, Cursor, Copilot and more than 20 other platforms are supported.

Just want to load the current warehouse (do not pollute the whole), add --project: the file will fall under .claude/skills/graphify/, you can submit it with the project to your colleagues.

If automatic recognition fails on Windows, explicitly specify: graphify install --platform windows.

Type/graphify in the assistant session. (A dot indicates the current directory). The first time it will run longer, the code will be parsed by tree-sitter, and the document and PDF will call the model.

After the end, there is more graphify-out/in the directory: open graph.html with a browser, which is an interactive graph. Nodes can be clicked, colored by the community, and can be searched; GRAPH_REPORT.md is the project guide; graph.json is the complete data.

Just want to see the report Do not graph:/graphify. --no-viz; want to generate an extra set of Markdown wiki: add --wiki.

/graphify query "How is authentication connected to the database?" A subgraph with a limited range is returned, the proxy reads only these contents, and the token consumption comes down immediately.

/graphify path "UserService" "DatabasePool" Prints the shortest path between two concepts, with each hop annotating the relationship type and extracted/inferred confidence.

/graphify explain "RateLimiter" gives the source file of a single concept, the line number, the community it belongs to, and connects to all, and it is particularly fast to check "who is using this class".

Execute graphify hook install to install the git hook, and then incrementally rebuild the atlas every time you commit and cut branches, without having to manually remember to run.

Changed the file to synchronize manually:/graphify. --update only redo parsing the changed part; clustering parameters are not satisfied with --cluster-only --resolution 1.5 rerun community division, no need to redo parsing.

The map only falls in the project directory by default, and both git hook and CI can read it; when the team collaborates, they submit graph.json together, and the newcomer can pull it down and check it directly.

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