Skip to content
Agentmart
Submit a tool

graph-engineering

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…

Skill by conjurer-rich

IndexedNOASSERTION★ 1
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/conjurer-rich-graph-engineering

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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 engineering, agent graph, fan out sub-agents, or orchestrate skills, or when designing any workflow where sub-agents each own one skill. For PR review specifically use panel-review (an instance of this skill); for a single second opinion on finished work use double-check; do not use for tasks one skill handles in one context.

Use cases: data, security, research, productivity

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/graph-engineering

What's inside

Skill name
graph-engineering
Description
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 engineering, agent graph, fan out sub-agents, or orchestrate skills, or when designing any workflow where sub-agents each own one skill. For PR review specifically use panel-review (an instance of this skill); for a single second opinion on finished work use double-check; do not use for tasks one skill handles in one context.
License
NOASSERTION
Instructions
93 lines in SKILL.md · view on GitHub

Files (6)

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

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from conjurer-rich/skills

Signals

Stars
1
Forks
0
Open issues
2
Last commit (this folder)
Oct 8, 2026 (20 days ago)
Last release
Oct 22, 2026 (6 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/conjurer-rich/skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from conjurer-rich

Cite this page

graph-engineering skill. Agent Mart. https://agentmart.dev/skills/conjurer-rich-graph-engineering (last updated 2026-10-24)