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GeezerVison is showing docs.graphify.com — Quickstart: map a repository with the skill - Graphify

The fastest way to use open-source Graphify is as a skill inside your coding agent. You install it once, type /graphify ., and the agent builds the graph and reads GRAPH_REPORT.md before it answers questions about your code.
Use the skill when you work in Claude Code, Codex, Cursor, Gemini CLI, or another agent that supports skills, and you want the agent to drive extraction for you. If you only want terminal commands, follow the CLI quickstart.

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Before you start

  • Python 3.10 or later
  • A coding agent that graphify install supports (Claude Code is the default)

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Build your first graph

1

Install the package

uv tool install graphifyy

pipx install graphifyy

pip install graphifyy
The package is graphifyy (two y’s). It installs the graphify and graphify-mcp commands.
2

Install the skill

graphify install
With no flag, this targets Claude Code. It copies the skill to ~/.claude/skills/graphify/SKILL.md and registers it in ~/.claude/CLAUDE.md. For another agent, pass --platform, for example graphify install --platform codex.
3

Run it in your agent

Open your agent in the repository and type:
/graphify .
The agent runs detection, extraction, and clustering, then summarises the report. Code is parsed locally. Documents, papers, and images go through the agent’s own model.
4

Ask a question

/graphify query "how does authentication reach the database"
The skill traverses the graph and returns only the nodes and edges that answer the question, trimmed to a token budget.
5

Keep it fresh

graphify hook install
Git hooks rebuild the code graph in the background after commits, branch switches, merges, pulls and rebases. You don’t need to run graphify update . after git pull. When docs or images change, run /graphify . --update.Check that the hooks are in place:
graphify hook status
You should see:
post-commit: installed
post-checkout: installed
post-merge: installed
post-rewrite: installed
merge driver: registered
See Incremental updates for what each refresh covers.

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What changes in your repository

After the first run you’ll find a graphify-out/ folder: 
graphify-out/
├── graph.json
├── graph.html
├── GRAPH_REPORT.md
├── manifest.json
└── cache/
Open graph.html in a browser to explore the graph. Commit graph.json and GRAPH_REPORT.md if you want teammates and CI to share the same graph; add cache/ to .gitignore.

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Useful skill commands

CommandWhat it does
/graphify . --updateRe-extract only new or changed files
/graphify . --mode deepSlower extraction with richer INFERRED edges
/graphify . --wikiWrite an agent-readable wiki, one article per community
/graphify path "AuthModule" "Database"Shortest path between two concepts
/graphify explain "SessionStore"Plain-language explanation of one node
/graphify https://github.com/<owner>/<repo>Clone a repository and graph it

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Verify it worked

graphify god-nodes --top 5
You should see the five most connected symbols in your code. If the command says it can’t find a graph, run it from the folder that contains graphify-out/, or pass --graph graphify-out/graph.json.

The agent doesn't recognise /graphify

Restart the agent so it reloads skills. For Claude Code, check that ~/.claude/skills/graphify/SKILL.md exists. For other agents, re-run graphify install --platform <name>.

Can I skip the LLM step?

Yes. Run graphify extract . --code-only from a terminal. It builds the code graph with no model calls.

How do I remove the skill?

Run graphify uninstall. Add --purge to also delete graphify-out/ in the current folder.

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What’s next

Vibe coding with Graphify CLI

Make your agent check the graph before every search.

CLI quickstart

Build and query the graph straight from a terminal.

Try it in Graphify

We build and host the graph for you. The Free plan (up to 3 repositories) needs no card. Pro and Teams start with a 14-day trial, card required.
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