Engineering Agents — AI skill for Claude Code

AgentEM - Engineering Management Agents for Claude Code

6 AI agents that handle specs, ticket decomposition, risk detection, review routing, release management, and sprint retrospectives. They remember what they've done, take real actions, chain intelligently, and learn from your feedback. Encoded with your team's engineering judgment.

Install

/plugin marketplace add anicol/engineering-agents
/plugin install agentem@engineering-agents

What you get

Command	What it does
/agentem:spec-generator	Turns product briefs into specs, saves them, creates tracking issues
/agentem:ticket-decomposer	Breaks specs into tickets, creates GitHub issues in batch or individually
/agentem:risk-detector	Scans for risks, creates issues for critical risks, comments on stale PRs
/agentem:review-orchestrator	Assigns reviewers to PRs, nudges stale reviews, balances review load
/agentem:release-manager	Generates release artifacts, creates GitHub releases, saves changelogs
/agentem:retro-analyzer	Generates retro docs, updates learnings, creates action item issues

Quick start

1. **Install the plugin** and open your project in Claude Code.

2. **Scaffold context files:**

   /agentem:init

   This creates 8 context files in `context/` - your product strategy, architecture map, team topology, capacity, review standards, spec conventions, and learnings (what works + what doesn't).

3. **Fill in context files.** Start with `context/product/strategy.md`. The more specific you are, the better the agents perform. "We use microservices" is useless. "We have 4 services: auth (Python/FastAPI), api (TypeScript/Express), worker (Go), dashboard (Next.js)" is useful.

4. **Check your progress:**

   /agentem:doctor

5. **Run an agent:**

   /agentem:risk-detector
   /agentem:spec-generator

6. **Run the full flow:**

   /agentem:sprint-plan Build user notificatio