/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.
$ npx -y skills add codeaholicguy/ai-devkit --skill agent-management --agent claude-codeHow 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.mdname: 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."
Read more
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."
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
Repo: codeaholicguy/ai-devkit
Other skills on ai-devkit.
- /agent-communication
AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back.
Open 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
Open skill - /brainstorm
AI DevKit · Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow choices, name something, plan content angles, explore strategy, evaluate product ideas, technical approaches, experiments, or
Open skill - /changelog
AI DevKit · Update CHANGELOG.md Unreleased items from git commits since the latest release. Use when users ask to update changelog/release notes from recent commits, with one concise line per commit and commit/PR links.
Open skill - /dev-commit
AI DevKit · Safe git commit workflow for AI coding agents. Use when the user asks to commit, prepare a commit, stage changes, create a PR-ready checkpoint, or finish work with a conventional commit while avoiding unrelated user changes.
Open skill - /dev-design
AI DevKit · Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3.
Open skill

