Agent skill

Agent Management

by codeaholicguy in codeaholicguy/ai-devkit

AI DevKit · Manage running AI agents with ai-devkit agent commands.

Apache-2.0Auto-check passedAgent Workflows

Install Agent Management

skills CLI
$ npx skills add codeaholicguy/ai-devkit --skill agent-management -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install codeaholicguy/ai-devkit agent-management --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/codeaholicguy/ai-devkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-management .claude/skills/agent-management && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-management
GitHub stars
1.6k
Token cost
~558 tokens
SKILL.md length
165 words
Files
2
Skills in repo
28
Repo updated
First seen
Licence
Apache-2.0

At a glance

AI DevKit · Manage running AI agents with ai-devkit agent commands.

  • Works in 6 steps: List agents: ai-devkit agent list --json. → Identify self: compare your current… → Inspect before acting: ai-devkit agent… → …
  • An agent needs to identify itself
  • SKILL.md covers Workflow, Commands and Assignment Rules
  • Calls npx

What it does

Agent Management is an agent skill from codeaholicguy/ai-devkit. 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.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Session handoff. The repository describes itself as: The control plane for AI coding agents. The licence is Apache-2.0.

When your agent uses it

  • An agent needs to identify itself
  • Inspect agent detail
  • Resume sessions
  • Delegate work to other agents

Example prompts

  • “/agent-management”

Requirements

  • Node.js

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  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 --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.

What it can do on your machine

Read from SKILL.md and the folder at commit 7ef0cd5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Management loads about 558 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 165 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~558

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from codeaholicguy/ai-devkit at commit 7ef0cd5, republished under its Apache-2.0 licence (© codeaholicguy). 165 words, ~558 tokens.

Download SKILL.mdSave it as .claude/skills/agent-management/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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

bash
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:

bash
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."

© codeaholicguy, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent-management of codeaholicguy/ai-devkit.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 7ef0cd5

Compare with similar skills

Agent Management next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Management compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Management this skillcodeaholicguy/ai-devkit1.6k—~558Automated safety check: PassApache-2.0
Orca CLIstablyai/orca87k2 repos~593Automated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
Session History Searchslopus/happy24k—~3.1kAutomated safety check: PassMIT
Paseo Agent Handoffgetpaseo/paseo20k1 repos~606Automated safety check: PassCustom licence
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: NotesCustom licence

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Categories

Questions about Agent Management

What does Agent Management do?

AI DevKit · Manage running AI agents with ai-devkit agent commands. Agent Management is an agent skill from codeaholicguy/ai-devkit. AI DevKit · Manage running AI agents with ai-devkit agent commands.

When should I use Agent Management?

Agent Management fits situations like: an agent needs to identify itself; inspect agent detail; resume sessions; delegate work to other agents.

How do I install Agent Management in Claude Code?

Run `npx skills add codeaholicguy/ai-devkit --skill agent-management -a claude-code`. Or copy the skill folder (skills/agent-management in codeaholicguy/ai-devkit) into .claude/skills/agent-management in your project. Claude Code loads it when a task matches its description.

How do I install Agent Management in Codex?

Run `npx skills add codeaholicguy/ai-devkit --skill agent-management -a codex`. Or copy the skill folder (skills/agent-management in codeaholicguy/ai-devkit) into .agents/skills/agent-management in your project. Codex loads it when a task matches its description.

Can I use Agent Management in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add codeaholicguy/ai-devkit --skill agent-management -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-management, .gemini/skills/agent-management, .github/skills/agent-management and .opencode/skills/agent-management in your project.

What does Agent Management need to run?

Going by SKILL.md and its folder, Agent Management needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Agent Management access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Agent Management safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Management use?

Agent Management is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Management use?

About 558 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Management?

Skills that share tags, products or a category with Agent Management: Orca CLI (stablyai/orca, 87k stars), Beads Task Memory (gastownhall/beads, 28k stars), Session History Search (slopus/happy, 24k stars) and Paseo Agent Handoff (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Management?

codeaholicguy (a GitHub user) maintains it in codeaholicguy/ai-devkit, which has 1,641 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 6, 2026.

Source: codeaholicguy/ai-devkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.