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.
git clone --depth 1 https://github.com/codeaholicguy/ai-devkit /tmp/agent-management && cp -r /tmp/agent-management/skills/agent-management ~/.claude/skills/agent-managementSKILL.md
# 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." ```
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.
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.
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 decisions.
AI DevKit · Compare implementation with design and requirements docs to ensure alignment.
AI DevKit · Pre-push code review against design docs.
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.
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.
AI DevKit · Implementation phase guidance for executing feature plans and checking implementation against design. Use when the user wants to implement planned tasks, update implementation docs, verify code matches design, or run dev-lifecycle phases 5 and 7.