agent-orchestration
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 action
Install
npx skills add https://github.com/codeaholicguy/ai-devkit/tree/main/skills/agent-orchestration
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install codeaholicguy-ai-devkit@llmmart
git clone https://github.com/codeaholicguy/ai-devkit.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole codeaholicguy/ai-devkit collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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 --jsonbefore 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.
- Scan agents.
- Assess agents needing attention with
detail --tail 10. - Act: approve, clarify, correct, delegate, relay, verify, or escalate.
- Report one brief status line.
- 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.
Files (ai-devkit)
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agents
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openai.yaml 406 B
interface: display_name: "Agent Orchestration" short_description: "AI DevKit · Proactively orchestrate and coordinate running AI agents" default_prompt: "Use $agent-orchestration to scan all running agents, assess their status, send next instructions to waiting agents, and coordinate multi-agent workflows. Act as the lead — drive progress autonomously and escalate only when you need my input."
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SKILL.md 1.9 KB
--- name: agent-orchestration description: "AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions." --- # Agent Orchestration Use only for multi-agent supervision: coordinating dependencies, polling progress, unblocking waiting agents, relaying outputs, resolving conflicts, and verifying completion across agents. For one-off list/detail/send/start/kill work, use `$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.
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