ai-workflow

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SUMMARY

AI-Assisted Development Workflow — Claude Code Plugin

README.md

AI-Assisted Development Workflow — Claude Code Plugin

Turns Claude Code into a small development team instead of one agent
guessing alone — with a git-level gate that keeps the humans in charge of
what actually ships.

What you get

  • A team of specialists, not one generalist. planner, plan-critic,
    code-critic, and adversarial-qa each run in their own context window,
    built from one shared source of knowledge (the skills) — so each pass
    stays focused instead of one agent doing everything at once.
  • /feature — one command, the whole lifecycle. Plan → critique →
    implement → test → code-review → QA → PR. You don't orchestrate the
    steps yourself; the workflow does, end to end.
  • It stops and asks instead of guessing. When a critic raises a
    NEEDS_DECISION, or QA turns up something the plan didn't anticipate, the
    loop halts and hands you the decision — fix now, defer with a filed
    issue, or ignore. Nothing gets silently resolved on your behalf.
  • A review gate enforced by git, not by an LLM's good behavior. A
    pre-push hook blocks pushing any commit that doesn't match a recorded,
    passing review — deterministic and outside the model's control. See
    Deterministic Enforcement in docs/AI-workflow.md.

Getting started

  1. Install the plugin:

    /plugin marketplace add cunhaax/ai-workflow
    /plugin install ai-workflow@ai-workflow
    

    Developing the plugin itself? Point the marketplace at your local
    checkout instead, so you're testing your working tree, not the published
    default branch:

    /plugin marketplace add /path/to/this/repo
    /plugin install ai-workflow@ai-workflow
    
  2. Scaffold and adapt it to your project:

    /init-workflow
    

    Fills in AGENTS.md (build/test/run commands, sensitive areas), points
    review and planning guidance at your existing docs (or seeds new ones),
    and validates the setup. Every write is proposed and confirmed — re-run
    it any time as a doctor.

  3. Enable the review gate (once per clone):

    git config core.hooksPath githooks
    
  4. Start a feature branch, then drive the work:

    /feature
    

    Start on a fresh branch you create yourself — the agents won't create
    or switch branches, and the workflow diffs against and opens a PR
    against your default branch.

Reviewing a small change yourself

Not every change needs the full /feature loop. For a small, manual
session, you can tell the implementing agent up front that you'll do the
review yourself
— it will skip launching the code-critic sub-agent and,
once you've looked over the diff and approved it, just run:

scripts/review-ok.sh          # records HEAD's SHA as reviewed

The pre-push hook only checks that the pushed commit matches whatever was
last recorded — it doesn't care whether a sub-agent or a human did the
looking. That's the same gate either way, just with you standing in for
the critic.

Want the full picture?

Design rationale, the skill/sub-agent reference, and how the workflow
executes step by step all live in
docs/AI-workflow.md.

License

MIT — see LICENSE.

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