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    graphify macos setup

    1

    Install, integrate, and operate Graphify knowledge graphs for AI coding agents on macOS.

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    graphify macos setup

    graphify macos setup

    Example session with this skill installed

    I need to set up Graphify for my project in ~/work/inventory-service so my AI agent understands the architecture. Fix any PATH issues if they come up.

    • Read your context and instructions
    • Compiled the graphify macos setup
    • Generated the document

    I have successfully bootstrapped Graphify and integrated it with your project. The installation used uv to ensure an isolated environment, and I have staged the Claude Code integration hook to avoid self-modification permission errors.

    Graphify Setup Summary

    ComponentStatusDetail
    ToolingInstalledgraphifyy (v1.2.0) via uv
    EnvironmentVerifiedPython 3.12.4, PATH updated
    IntegrationStagedClaude PreToolUse hook ready
    Project~/work/inventory-serviceInitialized for graph generation

    Staged Claude Configuration

    Since I cannot modify my own active settings directly, I have generated a merged configuration file. Run this command to activate the Graphify integration:

    cp .claude/settings_graphify_staged.json .claude/settings.json

    Next steps

    1. Run the cp command above to enable the /graphify command and automated report reading.
    2. Start a fresh Claude Code session and run /graphify . to build your first knowledge graph.
    3. Run graphify hook install if you want the graph to update automatically on every git commit.

    graphify-macos-setup.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Automate installation of the graphifyy package and PATH configuration on macOS.Inject codebase architectural context into Claude Code via PreToolUse hooks.Generate interactive dependency graphs and structural reports for large repos.Trace shortest-path relationships between disconnected code components.

    About this skill

    The problem

    Developers spend too much time manually grepping repositories to understand architectural relationships. Standard RAG tools often miss the structural context between files, leading to incomplete or incorrect answers from coding assistants.

    What it does

    • Automates the installation of Graphify via uv or pipx on macOS with PATH verification.
    • Injects architectural awareness into Claude Code using the PreToolUse hook and /graphify command.
    • Generates interactive knowledge graphs (HTML), machine-readable JSON, and GRAPH_REPORT.md for agent consumption.
    • Configures git hooks to keep the codebase graph updated automatically on every commit or branch switch.
    • Executes complex structural queries like shortest-path analysis between components and plain-language relationship explanations.

    Frameworks & tools

    macOS 13+, zsh, Python 3.10+, Homebrew, uv, Claude Code, and tree-sitter.

    Why this beats prompting it yourself

    Standard prompts cannot fix environment PATH issues, handle the non-obvious graphifyy PyPI naming collision, or safely modify .claude/settings.json without triggering self-modification blocks. This skill includes pre-built bootstrap scripts that handle idempotent setup and complex shell integrations that a generic LLM would likely hallucinate or fail to execute.

    Use cases

    • Onboarding to a large, undocumented codebase by visualizing component hierarchies.
    • Tracing data flow from an API endpoint to a database handler using shortest-path queries.
    • Ensuring AI agents have high-level architectural context before they start writing code.
    • Maintaining a live map of project dependencies that updates during the development cycle.

    Known limitations

    Interactive visualizations in graph.html may not render correctly in Safari due to canvas issues; Chrome or Chromium is required. Build times for projects exceeding 400 files can take over 10 minutes due to semantic processing.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Unzip into your skills folder

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      Ask your agent to use it

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    Verified clean 24 days ago

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