Agent skill

Graph Engineering

by citypaul in citypaul/.dotfiles

Compose installed agent skills into one orchestrated multi-agent run: an agent graph where each node is a sub-agent that loads exactly one skill, edges carry structured data, and stages fan work…

Custom licenceAuto-check passedAgent Workflows

Install Graph Engineering

skills CLI
$ npx skills add citypaul/.dotfiles --skill graph-engineering -a claude-code

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

GitHub CLI
$ gh skill install citypaul/.dotfiles graph-engineering --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/citypaul/.dotfiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/claude/.claude/skills/graph-engineering .claude/skills/graph-engineering && 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
graph-engineering
GitHub stars
739
Token cost
~2.7k tokens
SKILL.md length
1,365 words
Files
6 (incl. references)
Skills in repo
44
Repo updated
First seen
Licence
Custom licence

At a glance

Compose installed agent skills into one orchestrated multi-agent run: an agent graph where each node is a sub-agent that loads exactly one skill, edges carry structured data, and stages fan work…

  • Works in 7 steps: Fix the goal and the deliverable → Scout inline first → Choose the nodes → …
  • A task needs several skills applied in parallel (multi-lens review
  • SKILL.md covers When to Use — and When Not, The Design Protocol, Guardrails and References, plus 1 more section
  • Calls git

What it does

Graph Engineering is an agent skill from citypaul/.dotfiles. Compose installed agent skills into one orchestrated multi-agent run: an agent graph where each node is a sub-agent that loads exactly one skill, edges carry structured data, and stages fan work out, adversarially verify it, and synthesize one deliverable. Claude Code calls the executable form a dynamic workflow; the pattern is Anthropic's orchestrator-workers. Use when a task needs several skills applied in parallel (multi-lens review, multi-angle audit or research, migration sweeps), when the user says graph…

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/execution.md` and `references/model-policy.md`).

It sits in Agent Workflows, covering Subagents, Pull requests and Schema markup.

When your agent uses it

  • A task needs several skills applied in parallel (multi-lens review
  • Multi-angle audit
  • Migration sweeps)
  • The user says graph engineering

Example prompts

  • “/graph-engineering”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Fix the goal and the deliverable
  2. Scout inline first
  3. Choose the nodes
  4. Choose the topology
  5. Define the contracts
  6. Choose the runtime
  7. Execute, then synthesize

What it can do on your machine

Read from SKILL.md and the folder at commit cd4028d. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Graph Engineering loads about 2.7k tokens when it runs, and up to ~9.2k if it reads all its reference files. Until then it costs about 215 tokens; SKILL.md has 1,365 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~215
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,365 words (~2,711 tokens).

“Turn a library of installed skills into a coordinated fleet. One orchestrator (you) designs a graph — nodes, edges, stages — and executes it with sub-agents, where each node is a sub-agent that loads exactly one skill and works a…”

— opening of SKILL.md by citypaul, Custom licence
name
graph-engineering

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (references) in claude/.claude/skills/graph-engineering of citypaul/.dotfiles.

  • SKILL.md
  • agents/openai.yaml
  • references/execution.md
  • references/model-policy.md
  • references/node-design.md
  • references/topologies.md

Open the folder on GitHubat commit cd4028d

Compare with similar skills

Graph Engineering 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.

Graph Engineering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Graph Engineering this skillcitypaul/.dotfiles739—~2.7kAutomated safety check: PassCustom licence
Badstephenleo/bmad-autonomous-development107—~7.7kAutomated safety check: PassMIT
Multi Agent PR Reviewbbartling/open-fdd172—~1.4kAutomated safety check: PassCustom licence
Load PR CommentsNeoLabHQ/context-engineering-kit1.7k—~2.1kAutomated safety check: PassGPL-3.0
Gh Issuestrpc-group/trpc-agent-go1.8k8 repos~8.7kAutomated safety check: PassApache-2.0
LLM Councilffroliva/gflow-cli264—~2kAutomated safety check: PassMIT

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Categories

Questions about Graph Engineering

What does Graph Engineering do?

Compose installed agent skills into one orchestrated multi-agent run: an agent graph where each node is a sub-agent that loads exactly one skill, edges carry structured data, and stages fan work…. dotfiles. Compose installed agent skills into one orchestrated multi-agent run: an agent graph where each node is a sub-agent that loads exactly one skill, edges carry structured data, and stages fan work out, adversarially verify it, and synthesize one deliverable.

When should I use Graph Engineering?

Graph Engineering fits situations like: A task needs several skills applied in parallel (multi-lens review; multi-angle audit; migration sweeps); the user says graph engineering.

How do I install Graph Engineering in Claude Code?

Run `npx skills add citypaul/.dotfiles --skill graph-engineering -a claude-code`. Or copy the skill folder (claude/.claude/skills/graph-engineering in citypaul/.dotfiles) into .claude/skills/graph-engineering in your project. Claude Code loads it when a task matches its description.

How do I install Graph Engineering in Codex?

Run `npx skills add citypaul/.dotfiles --skill graph-engineering -a codex`. Or copy the skill folder (claude/.claude/skills/graph-engineering in citypaul/.dotfiles) into .agents/skills/graph-engineering in your project. Codex loads it when a task matches its description.

Can I use Graph Engineering 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 citypaul/.dotfiles --skill graph-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graph-engineering, .gemini/skills/graph-engineering, .github/skills/graph-engineering and .opencode/skills/graph-engineering in your project.

What does Graph Engineering need to run?

Going by SKILL.md and its folder, Graph Engineering needs the command-line tools its instructions call (git).

Does Graph Engineering access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Graph Engineering 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 Graph Engineering use?

Graph Engineering has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Graph Engineering use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.5k tokens, read only when the agent opens those files.

What are the alternatives to Graph Engineering?

Skills that share tags, products or a category with Graph Engineering: Bad (stephenleo/bmad-autonomous-development, 107 stars), Multi Agent PR Review (bbartling/open-fdd, 172 stars), Load PR Comments (NeoLabHQ/context-engineering-kit, 1.7k stars) and Gh Issues (trpc-group/trpc-agent-go, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Graph Engineering?

citypaul (a GitHub user) maintains it in citypaul/.dotfiles, which has 739 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 2, 2026.

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