Agent skill

Agent Orchestration

by codeaholicguy in codeaholicguy/ai-devkit

AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion.

Apache-2.0Auto-check passedAgent Workflows

Install Agent Orchestration

skills CLI
$ npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a claude-code

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

GitHub CLI
$ gh skill install codeaholicguy/ai-devkit agent-orchestration --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/codeaholicguy/ai-devkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-orchestration .claude/skills/agent-orchestration && 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
agent-orchestration
GitHub stars
1.6k
Token cost
~475 tokens
SKILL.md length
199 words
Files
2
Skills in repo
28
Repo updated
First seen
Licence
Apache-2.0

At a glance

AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion.

  • Works in 5 steps: Scan agents. → Assess agents needing attention with… → Act: approve, clarify, correct,… → …
  • Tasks that involve Multi-agent orchestration
  • SKILL.md covers Rules, Loop and Completion
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Orchestration is an agent skill from codeaholicguy/ai-devkit. AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Multi-agent orchestration and Quality gates. The repository describes itself as: The control plane for AI coding agents. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Multi-agent orchestration
  • Tasks that involve Quality gates

Example prompts

  • “/agent-orchestration”

Workflow steps

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

  1. Scan agents.
  2. Assess agents needing attention with detail --tail 10.
  3. Act: approve, clarify, correct, delegate, relay, verify, or escalate.
  4. Report one brief status line.
  5. Sleep 10-60s and repeat.

What it can do on your machine

Read from SKILL.md and the folder at commit 7ef0cd5. 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

Agent Orchestration loads about 475 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~475

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 codeaholicguy/ai-devkit at commit 7ef0cd5, republished under its Apache-2.0 licence (© codeaholicguy). 199 words, ~475 tokens.

Download SKILL.mdSave it as .claude/skills/agent-orchestration/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
agent-orchestration
description
AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions.

Agent Orchestration

Use only for multi-agent supervision: coordinating dependencies, polling progress, unblocking waiting agents, relaying outputs, resolving conflicts, and verifying completion across agents. For one-off list/detail/send/start/kill work, use $agent-management or $agent-communication.

Use $agent-management for safe agent selection and lifecycle actions. Use $agent-communication for list/detail/send mechanics. Use $verify before accepting any agent's completion claim.

Rules

  • Own the loop until assigned work is complete, blocked, or stopped.
  • Run agent list --json before each pass; never assume names/statuses.
  • Inspect waiting, idle, unknown, missing, or stale agents before acting.
  • Send self-contained instructions and avoid duplicate follow-ups.
  • Sequence agents that touch the same files; relay only relevant upstream output.
  • Escalate only for repeated failures, unresolved conflicts, product/business decisions, or destructive/shared/production/security-sensitive actions.

Loop

If the goal or agent ownership is unclear, run one scan/detail pass. Ask the user once only if context is still insufficient.

  1. Scan agents.
  2. Assess agents needing attention with detail --tail 10.
  3. Act: approve, clarify, correct, delegate, relay, verify, or escalate.
  4. Report one brief status line.
  5. Sleep 10-60s and repeat.

Completion

Finish when all assigned work is verified, blocked with a clear reason, or stopped by the user. Summarize per-agent outcomes, verification, unresolved issues, and next step.

© codeaholicguy, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent-orchestration of codeaholicguy/ai-devkit.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 7ef0cd5

Compare with similar skills

Agent Orchestration 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.

Agent Orchestration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Orchestration this skillcodeaholicguy/ai-devkit1.6k—~475Automated safety check: PassApache-2.0
NelsonAspegio/nelson421—~11kAutomated safety check: WarnMIT
Agent Teams PlaybookKimYx0207/Kim_Service174—~2.7kAutomated safety check: PassMIT
Long Horizon Promptingguanyang/open-agent-hub9731 repos~6.4kAutomated safety check: PassMIT
Team Coordinationbybren-llc/safe-agentic-workflow421—~1.7kAutomated safety check: PassMIT
Prompt Generatorcatlog22/Claude-Code-Workflow2.1k1 repos~4.7kAutomated safety check: NotesMIT

Similar skills

  • Nelson

    Aspegio/nelson

    Orchestrates multi-agent task execution using a Royal Navy squadron metaphor — from mission planning through parallel work coordination to stand-down.

    421 GitHub stars~11k tokensUpdated 3 mo ago
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  • Agent Teams Playbook

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    Cross-runtime playbook for multi-agent collaboration, agent teams, swarm orchestration, parallel task distribution, capability discovery, and quality gates on Claude Code, Codex, OpenClaw, and Cursor.

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  • Long Horizon Prompting

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    973 GitHub starsUsed in 1 repo~6.4k tokens
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  • Team Coordination

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    Agent Teams orchestration patterns for multi-agent SAFe workflows.

    421 GitHub stars~1.7k tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • Prompt Generator

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    Testing & QAAuto-check: notes
  • Design Iteration Loop

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  • Agent Communication

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  • Technical Writer

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Categories

Questions about Agent Orchestration

What does Agent Orchestration do?

AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Agent Orchestration is an agent skill from codeaholicguy/ai-devkit. AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion.

When should I use Agent Orchestration?

Agent Orchestration fits situations like: tasks that involve Multi-agent orchestration; tasks that involve Quality gates.

How do I install Agent Orchestration in Claude Code?

Run `npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a claude-code`. Or copy the skill folder (skills/agent-orchestration in codeaholicguy/ai-devkit) into .claude/skills/agent-orchestration in your project. Claude Code loads it when a task matches its description.

How do I install Agent Orchestration in Codex?

Run `npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a codex`. Or copy the skill folder (skills/agent-orchestration in codeaholicguy/ai-devkit) into .agents/skills/agent-orchestration in your project. Codex loads it when a task matches its description.

Can I use Agent Orchestration 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 codeaholicguy/ai-devkit --skill agent-orchestration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-orchestration, .gemini/skills/agent-orchestration, .github/skills/agent-orchestration and .opencode/skills/agent-orchestration in your project.

What does Agent Orchestration need to run?

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

Does Agent Orchestration 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 Agent Orchestration 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 Agent Orchestration use?

Agent Orchestration is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Orchestration use?

About 475 tokens (SKILL.md is roughly 1.9k 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 Agent Orchestration?

Skills that share tags, products or a category with Agent Orchestration: Nelson (Aspegio/nelson, 421 stars), Agent Teams Playbook (KimYx0207/Kim_Service, 174 stars), Long Horizon Prompting (guanyang/open-agent-hub, 973 stars) and Team Coordination (bybren-llc/safe-agentic-workflow, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Orchestration?

codeaholicguy (a GitHub user) maintains it in codeaholicguy/ai-devkit, which has 1,641 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 6, 2026.

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