Agent skill · Backend & API

ontoly-software-graph

Use Ontoly's deterministic Software Graph and MCP server for codebase architecture, request tracing, dependency analysis, and impact analysis.

davepoongithub.com/davepoonGitHub ↗
claude-codeMIT
Install
npx skills add davepoon/buildwithclaude --skill ontoly-software-graph --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: plugins/all-skills/skills/ontoly-software-graph/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,251
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Ontoly Software Graph Use Ontoly when a coding agent needs graph-backed software understanding before searching source files directly. Ontoly builds a deterministic Software Graph from a TypeScript repository and exposes it through CLI queries, MCP capabilities, and agent skills. The skill teaches workflow only; Ontoly remains the source of truth. ## Workflow 1. Check whether an Ontoly graph alr

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About this skill
What does the ontoly-software-graph skill do?

Use Ontoly's deterministic Software Graph and MCP server for codebase architecture, request tracing, dependency analysis, and impact analysis.

How do I install it?

Run `npx skills add davepoon/buildwithclaude --skill ontoly-software-graph --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From davepoon/buildwithclaude, a repository with 3,251 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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