Kanban Foreman Loop Iteration

SkillDev tools

One unattended kanban foreman iteration: watch the backlog queue, dispatch the next operator-picked card to an isolated worker, collect completion evidence on read (not on claims), and report. This is the body the project's loop.md driver invokes each iteration of a bare /loop; it can also be invoked directly to test one cycle by hand.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Kanban Foreman Loop Iteration skill

What this skill tells your AI

The instructions your AI receives, as published by modu-ai/moai-adk in .claude/skills/moai-kanban-foreman/SKILL.md and read by ahel’s review.

One unattended pass of the kanban foreman: watch the backlog queue, dispatch the next operator-picked card to an isolated worker, collect completion evidence, report. The queue surface is moai todo; the dispatch protocol and card classes live in the kanban dispatch rule (.claude/rules/moai/workflow/kanban-dispatch.md).

Running unattended

AskUserQuestion is removed from the tool pool while this skill is active — that is the mechanical guarantee that the loop cannot stop and ask. Anything that would have been a question becomes a line in the iteration report, and anything that genuinely needs the operator's decision becomes a blocked card under Boundaries below.

Deployment: start a session in the project, run bare /loop, then background the session — loop tasks carry over to the background session and keep running without a terminal. Esc cancels the pending wakeup of a waiting loop. A recurring loop expires seven days after creation; restart it when the board still needs a foreman. Background monitors do not survive a session resume — the first iteration after a resume re-arms the queue watch.

The session's permission settings must already allow what this loop uses (queue reads, git inspection, the worker spawn). A permission prompt that surfaces while unattended stalls the iteration until someone attaches; pre-approving that surface in project settings is the operator's setup step, not something this loop can do for itself.

Boundaries (hard)

  1. The operator admits and picks work. Only backlog items whose state is already picked are dispatchable. Never run moai todo add; never run moai todo next <n> — that mutation is the operator's pick. Never invent, reword, or reorder cards. An empty queue is a legitimate state: say so and idle.
  2. No approval gate is answered on the operator's behalf. When a card's next step needs a human decision that is not already recorded as made (plan-to-run kickoff approval, a review severity call, a scope choice), do not proceed. Leave the card picked, name it blocked-for-operator in the report together with the decision it waits on, and move on.
  3. One write-capable worker at a time. While a worker is in flight the iteration only reads. Never run two write-capable agents concurrently.
  4. Every worker runs in its own worktree (isolation: "worktree" on the spawn; relative paths in the prompt — the worker's CWD is its worktree root). Nothing writes to the shared checkout.
  5. No integration actions. No push, no pull request, no merge, no branch deletion, no worktree disposal. The card's branch is unpushed and its worktree is the work's only instance; both stay until the operator integrates them. The report names the branch and the worktree path.
  6. Verification is lane-local. The worker runs only the checks its own change can affect; the full suite belongs to CI. Never spawn background CPU load — the queue watch below is the only long-running process this loop arms.
  7. Completion is read, never trusted. A card advances only on evidence this iteration actually read.

The iteration

  1. Queue watch. If no backlog monitor is live (first iteration, or after a resume), arm one persistent Monitor on the queue file:

    • command:

      f=.moai/state/kanban/backlog.json
      last=init
      while true; do
        if [ -f "$f" ]; then cur=$(cksum "$f"); else cur=missing; fi
        if [ "$cur" != "$last" ]; then
          [ "$last" != init ] && echo "backlog changed"
          last=$cur
        fi
        sleep 5
      done
      
    • persistent: true

    • description: backlog queue watch

    The queue file is replaced atomically on every mutation, so tools that follow a single file handle are the wrong shape here; the checksum poll emits one line per change and costs one tiny read every five seconds. Do not tighten the interval, and do not arm a second watcher. Each emitted line, like each scheduled wakeup, is a prompt to run this same idempotent iteration — an iteration that finds nothing to do ends quickly.

  2. Read the queue. moai todo list --json (lock-free). A missing queue file is an empty queue, never an error. Records carry id, text, spec_id, and state (queued | picked | dropped).

  3. Collect before dispatch. If a worker dispatched by an earlier iteration has returned, read its evidence file first (step 6). If a worker is still running, end the iteration with a one-line status.

  4. Choose the dispatchable card. The oldest picked item with no live worker and no recorded blocker. queued items are not yours to pick.

  5. Dispatch one worker with the Agent tool, isolation: "worktree". The dispatch is a fixed-field address block — a pointer, not a copy, ten lines at most:

    card: <id>
    spec: <SPEC-ID>            # only when the card carries one
    cmd: <the card's work in one line; the phase command when a SPEC is attached>
    evidence: .moai/reports/<card-id>/evidence.md
    

    Route the spawn to the agent the card's work matches under the standard delegation rules; where no specialist matches, a general-purpose spawn with a domain whitelist. The worker prompt carries the block plus these standing orders: rename the worktree branch to WT-<slug> (a descriptive slug, never the card id) first; implement the card; verify lane-locally; write the evidence file with decisions, verbatim output tails of the checks run, explicit gaps, and residual risk; commit by explicit pathspec; never push.

  6. Collect on evidence. When the worker returns, read the evidence file it names. Advance the card — moai todo done <t-id> — only when the evidence shows the work complete: verbatim passing output present, gaps named. A missing, unreadable, or stale evidence file is a gap: the card stays picked, the report says why, and the card is not re-dispatched this iteration. Absence of a failure signal is not a pass.

  7. Report. Close with two to six lines: queue summary, what was dispatched or collected, which evidence was read, blocked cards and the decisions they wait on. This report is what the operator reads on reattach — name what you read, not what you were told.

Factory seam (reserved, not implemented)

The single-worker dispatch above is the only mode. Fanning a card out to numbered factory worker lanes — the multi-lane launcher surface — is separate work; when the foreman grows that routing, it lands here as a second dispatch mode chosen per card. Until then this loop spawns one subagent per card, reads no factory state, and launches no lanes.

Failure handling

Stop the loop (ScheduleWakeup with stop: true), with a one-line reason, when the loop cannot do its job: the queue file is repeatedly unreadable, the queue watch cannot be armed, or this skill's own surface is broken. A transient worker failure is not a loop failure — record it on the card and let the next iteration decide whether to re-dispatch.

Signals

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Last commit
Sep 2026
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Catalog kind
skill
Gateway key
moai-kanban-foreman
Source
github.com/modu-ai/moai-adk