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graphify map folder
Build and maintain a self-updating structural knowledge graph of any folder or codebase without using AI tokens.
$9
graphify map folder
Example session with this skill installed
Map my project at ~/src/payment-gateway and make sure the graph stays updated as I work.
- Read your context and instructions
- Compiled the graphify map folder
I have analyzed the directory at ~/src/payment-gateway and initialized the knowledge graph. The structural pass identified 1,240 nodes and 3,105 edges without using any AI tokens.
Knowledge Graph Created
| Metric | Result |
|---|---|
| Status | Successfully Indexed |
| Nodes | 1,240 (Classes, Functions, Modules) |
| Edges | 3,105 (Imports, Calls, Inheritances) |
| Top Communities | Auth, BillingEngine, StripeAdapter, Webhooks |
| God Nodes | TransactionManager, DatabaseConnector, Config |
| Output Path | ~/src/payment-gateway/graphify-out/ |
| Visualization | graph.html generated (interactive) |
I have also installed a Git hook. The graph will now automatically rebuild every time you commit or switch branches, ensuring your documentation never goes stale.
Next steps
- Open
~/src/payment-gateway/graphify-out/graph.htmlin Chrome to view the interactive map. - Review
GRAPH_REPORT.mdfor a breakdown of structural bottlenecks and circular dependencies. - If you need a semantic understanding of the PDF documentation in that folder, run the AI-powered semantic pass using
graphify ..
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Large codebases are difficult to navigate mentally, and manual documentation for folder structures or architectural dependencies goes stale the moment you commit code.
What it does
- Scans a folder using tree-sitter to build a structural knowledge graph without using AI tokens.
- Generates a
graph.json, a visualgraph.htmlmap, and aGRAPH_REPORT.mdsummary of "god nodes" and communities. - Automatically handles visualization limits for large projects by adjusting node-count thresholds.
- Sets up Git hooks or file watchers to ensure the graph stays synchronized with code changes.
- Identifies performance bottlenecks like network drives and suggests local caching strategies.
Frameworks & tools
Requires Python 3.10+, Graphify (graphifyy), and works on macOS/Linux environments.
Why this beats prompting it yourself
Writing a prompt to "summarize this folder" usually results in a generic list that hits context limits. This skill uses a specialized local binary to extract deterministic relationships, ensuring you get a complete map of every function, class, and import without token costs or privacy leaks.
Use cases
- Onboarding to a legacy monolith by visualizing the most heavily coupled modules.
- Automating architectural documentation that updates itself on every git commit.
- Identifying "god objects" and high-complexity clusters before starting a refactor.
- Building a local index for other agents to use as a navigation RAG source.
Known limitations
Interactive HTML visualization may fail on extremely large graphs; Safari has known rendering issues with the output. Requires Graphify to be pre-installed on the system PATH.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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