agent-communication
AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and…
@codeaholicguyInstall SkillDevelopment
Skill
/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
Claude Code
$ npx -y skills add codeaholicguy/ai-devkit --skill agent-orchestration --agent claude-code
Codex
$ npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a codex -y
Cursor
$ npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a cursor -y
Gemini CLI
$ npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a gemini-cli -y
GitHub Copilot
$ npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a github-copilot -y
OpenCode
$ npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a opencode -y
Windsurf
$ npx skills add codeaholicguy/ai-devkit --skill agent-orchestration -a windsurf -y
SKILL.md
agent-orchestration.SKILL.mdname: 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 15 minutes and repeat. Meaningful agent progress arrives in minutes-to-tens-of-minutes; faster polling adds noise and orchestrator token cost without signal. Exception: if an agent is known to be waiting on you (approval prompt, ASK/BLOCKED just fired), check back sooner.
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.
Read more
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 15 minutes and repeat. Meaningful agent progress arrives in minutes-to-tens-of-minutes; faster polling adds noise and orchestrator token cost without signal. Exception: if an agent is known to be waiting on you (approval prompt, ASK/BLOCKED just fired), check back sooner.
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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Questions about agent-orchestration.
- Which coding agents can use agent-orchestration?
- agent-orchestration installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.