# Agent Orchestration

AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress...

- Repository: https://github.com/codeaholicguy/ai-devkit (1656 stars)
- Category: AI and agents
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -g -a claude-code -y`
Codex: `npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -g -a codex -y`
Cursor: `npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -g -a cursor -y`
Gemini CLI: `npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -g -a gemini-cli -y`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.