Agent skill

Ontoly Software Graph

by davepoon in davepoon/buildwithclaude

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

MITAuto-check passedAgent Workflows

Install Ontoly Software Graph

skills CLI
$ npx skills add davepoon/buildwithclaude --skill ontoly-software-graph -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davepoon/buildwithclaude ontoly-software-graph --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/all-skills/skills/ontoly-software-graph .claude/skills/ontoly-software-graph && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ontoly-software-graph
GitHub stars
3.6k
Token cost
~583 tokens
SKILL.md length
246 words
Files
1
Skills in repo
246
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 5 steps: Check whether an Ontoly graph already… → If the graph is missing and local graph… → Check graph diagnostics, trust, semantic… → …
  • Agent Workflows work in your project
  • SKILL.md covers Workflow, Use Cases, Evidence Rules and Example Prompts
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ontoly Software Graph is an agent skill from davepoon/buildwithclaude. Use Ontoly's deterministic Software Graph and MCP server for codebase architecture, request tracing, dependency analysis, and impact analysis.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/ontoly-software-graph”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check whether an Ontoly graph already exists in the repository, such as .ontoly/, SoftwareGraph.json, or documented Ontoly scripts.
  2. If the graph is missing and local graph output is appropriate, run ontoly build ..
  3. Check graph diagnostics, trust, semantic coverage, framework detection, and validation before making architecture claims.
  4. Prefer Ontoly CLI or MCP capabilities for architecture summaries, request tracing, dependency analysis, configuration lookup, framework…
  5. Inspect source files only when the graph is missing, incomplete, untrusted for the question, or the user explicitly asks for source-level…

What it can do on your machine

Read from SKILL.md and the folder at commit 10bfc43. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ontoly Software Graph loads about 583 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 246 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~583

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from davepoon/buildwithclaude at commit 10bfc43, republished under its MIT licence (© davepoon). 246 words, ~583 tokens.

Download SKILL.mdSave it as .claude/skills/ontoly-software-graph/SKILL.md (or your agent's skills folder).
name
ontoly-software-graph
description
Use Ontoly's deterministic Software Graph and MCP server for codebase architecture, request tracing, dependency analysis, and impact analysis.
category
development-code
license
MIT

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 already exists in the repository, such as .ontoly/, SoftwareGraph.json, or documented Ontoly scripts.
  2. If the graph is missing and local graph output is appropriate, run ontoly build ..
  3. Check graph diagnostics, trust, semantic coverage, framework detection, and validation before making architecture claims.
  4. Prefer Ontoly CLI or MCP capabilities for architecture summaries, request tracing, dependency analysis, configuration lookup, framework reports, and impact analysis.
  5. Inspect source files only when the graph is missing, incomplete, untrusted for the question, or the user explicitly asks for source-level verification.

Use Cases

  • Explain repository architecture, module ownership, services, routes, packages, or dependencies.
  • Trace a request, route, controller, service, provider, dependency, or call chain.
  • Estimate impact for removing, renaming, or refactoring a symbol, module, package, route, or service.
  • Review circular imports, dead code, configuration usage, environment variables, or graph diagnostics.

Evidence Rules

  • Separate graph facts from inference.
  • Cite exact graph nodes, edges, packages, routes, diagnostics, or query outputs when available.
  • Treat unresolved imports, low trust, missing framework detection, and validation failures as answer limitations.
  • Do not claim a relationship exists unless Ontoly reports it or the answer labels it as inferred.

Example Prompts

text
Use Ontoly to explain this repository's architecture.
text
Use Ontoly to trace the login flow from route to controller, service, and repository.
text
Use Ontoly to find what depends on UserRepository and what breaks if it changes.

© davepoon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/all-skills/skills/ontoly-software-graph of davepoon/buildwithclaude.

Open the folder on GitHubat commit 10bfc43

Compare with similar skills

Ontoly Software Graph next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ontoly Software Graph compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ontoly Software Graph this skilldavepoon/buildwithclaude3.6k—~583Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official37k11 repos~3.1kAutomated safety check: PassApache-2.0
Fastmcp Client CLIPrefectHQ/fastmcp28k1 repos~823Automated safety check: PassApache-2.0
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT

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Categories

Questions about Ontoly Software Graph

What does Ontoly Software Graph do?

Use Ontoly's deterministic Software Graph and MCP server for codebase architecture, request tracing, dependency analysis, and impact analysis. Ontoly Software Graph is an agent skill from davepoon/buildwithclaude. Use Ontoly's deterministic Software Graph and MCP server for codebase architecture, request tracing, dependency analysis, and impact analysis.

When should I use Ontoly Software Graph?

Ontoly Software Graph fits situations like: agent Workflows work in your project.

How do I install Ontoly Software Graph in Claude Code?

Run `npx skills add davepoon/buildwithclaude --skill ontoly-software-graph -a claude-code`. Or copy the skill folder (plugins/all-skills/skills/ontoly-software-graph in davepoon/buildwithclaude) into .claude/skills/ontoly-software-graph in your project. Claude Code loads it when a task matches its description.

How do I install Ontoly Software Graph in Codex?

Run `npx skills add davepoon/buildwithclaude --skill ontoly-software-graph -a codex`. Or copy the skill folder (plugins/all-skills/skills/ontoly-software-graph in davepoon/buildwithclaude) into .agents/skills/ontoly-software-graph in your project. Codex loads it when a task matches its description.

Can I use Ontoly Software Graph in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davepoon/buildwithclaude --skill ontoly-software-graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ontoly-software-graph, .gemini/skills/ontoly-software-graph, .github/skills/ontoly-software-graph and .opencode/skills/ontoly-software-graph in your project.

What does Ontoly Software Graph need to run?

SKILL.md names no scripts, command-line tools or credentials: Ontoly Software Graph is instructions for the agent only.

Does Ontoly Software Graph access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ontoly Software Graph safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ontoly Software Graph use?

Ontoly Software Graph is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ontoly Software Graph use?

About 583 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ontoly Software Graph?

Skills that share tags, products or a category with Ontoly Software Graph: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 37k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ontoly Software Graph?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,601 GitHub stars. The repository holds 246 skills in this directory. The repository was last updated on October 6, 2026.

Source: davepoon/buildwithclaude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.