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/agent-management

AI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.

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ai-devkit
1.6k24 skills
Install
$ npx -y skills add codeaholicguy/ai-devkit --skill agent-management --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/agent-management

Context preview

The summary Claude sees to decide when to auto-load this skill.

AI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.

SKILL.md

agent-management.SKILL.md
name: agent-management
description: AI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.

Agent Management

Use `ai-devkit agent ...`; if unavailable, use `npx ai-devkit@latest agent ...`.

Workflow

1. List agents: `ai-devkit agent list --json`. 2. Identify self: compare your current session id to `sessionId` from `list --json` 3. Inspect before acting: `ai-devkit agent detail --id <name> --json --tail 20`. 4. Reuse idle agents when suitable; otherwise start one with `agent start`. 5. Send self-contained assignments. Track each agent's task and last instruction. 6. Verify completed work before reporting it done. Use `$agent-communication` for agent-to-agent updates.

Commands

ai-devkit agent list --json
ai-devkit agent detail --id <name> --json --tail 20
ai-devkit agent start --type codex --name <name> --cwd <path>
ai-devkit agent send --id <name> "<single-line instruction>"
ai-devkit agent send --id <name> --wait --timeout 120000 --json "<single-line instruction>"
ai-devkit agent send --group <group> "<single-line instruction>"
ai-devkit agent sessions --cwd <path> --type codex --json --limit 20
ai-devkit agent rename <old-name> <new-name>
ai-devkit agent kill <name>

Use exact names from `list --json`. Partial matches are convenient but risk sending work to the wrong agent.

Assignment Rules

  • Do not send instructions to yourself unless intentional.
  • Prefer task names like `auth-review`, `ui-tests`, or `docs-pass`.
  • Include objective, scope/files, constraints, validation command, expected output, and whether to stop or continue.
  • Assign non-overlapping files or sequence dependent work.
  • Use groups only for broadcasts that truly apply to every member.
  • Ask before killing agents you did not start, destructive actions, production/shared-system actions, or product decisions.

Example:

ai-devkit agent send --id auth-review "Review auth middleware in /repo. Do not edit files. Report security findings with file/line references, ranked by severity."
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Ships withai-devkit

The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent

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Repo: codeaholicguy/ai-devkit

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