crank

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Fully autonomous epic execution. Runs until ALL children are CLOSED. Local mode uses /swarm with runtime-native spawning (Codex sub-agents or Claude teams). Distributed mode uses /swarm --mode=distributed (tmux + Agent Mail) for persistence and coordination. NO human prompts, NO stopping.

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Sourceboshu2/agentops

Added on2026-02-07

NPX Install

npx skill4agent add boshu2/agentops crank

SKILL.md Content

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Crank Skill

Quick Ref: Autonomous epic execution. Local mode:
/swarm
for each wave with runtime-native spawning. Distributed mode:
/swarm --mode=distributed
(tmux + Agent Mail). Output: closed issues + final vibe.

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

Autonomous execution: implement all issues until the epic is DONE.

CLI dependencies: bd (issue tracking), ao (knowledge flywheel). Both optional — see

skills/shared/SKILL.md

for fallback table. If bd is unavailable, use TaskList for issue tracking and skip beads sync. If ao is unavailable, skip knowledge injection/extraction.

Architecture: Crank + Swarm

Beads mode (bd available):

Crank (orchestrator)           Swarm (executor)
    |                              |
    +-> bd ready (wave issues)     |
    |                              |
    +-> TaskCreate from beads  --->+-> Select spawn backend (codex sub-agents | claude teams | fallback)
    |                              |
    +-> /swarm                 --->+-> Spawn workers per backend
    |                              |   (fresh context per wave)
    +-> Verify + bd update     <---+-> Workers report via backend channel
    |                              |
    +-> Loop until epic DONE   <---+-> Cleanup backend resources after wave

TaskList mode (bd unavailable):

Crank (orchestrator, TaskList mode)    Swarm (executor)
    |                                      |
    +-> TaskList() (wave tasks)            |
    |                                      |
    +-> /swarm                         --->+-> Select spawn backend per wave
    |                                      |
    +-> Verify via TaskList()          <---+-> Workers report via backend channel
    |                                      |
    +-> Loop until all completed       <---+-> Cleanup backend resources after wave

Separation of concerns:

Crank = Orchestration, epic/task lifecycle, knowledge flywheel
Swarm = Runtime-native parallel execution (Ralph Wiggum pattern via fresh worker set per wave)

Global Limits

MAX_EPIC_WAVES = 50 (hard limit across entire epic)

This prevents infinite loops on circular dependencies or cascading failures.

Why 50?

Typical epic: 5-10 issues
With retries: ~5 waves max
50 = safe upper bound

Completion Enforcement (The Sisyphus Rule)

THE SISYPHUS RULE: Not done until explicitly DONE.

After each wave, output completion marker:

```
<promise>DONE</promise>
```
- Epic truly complete, all issues closed
```
<promise>BLOCKED</promise>
```
- Cannot proceed (with reason)
```
<promise>PARTIAL</promise>
```
- Incomplete (with remaining items)

Never claim completion without the marker.

Execution Steps

Given

/crank [epic-id | plan-file.md | "description"]

Step 0: Load Knowledge Context (ao Integration)

Search for relevant learnings before starting the epic:

bash

# If ao CLI available, inject prior knowledge about epic execution
if command -v ao &>/dev/null; then
    # Search for relevant learnings
    ao search "epic execution implementation patterns" 2>/dev/null | head -20

    # Check flywheel status
    ao flywheel status 2>/dev/null

    # Get current ratchet state
    ao ratchet status 2>/dev/null
fi

If ao not available, skip this step and proceed. The knowledge flywheel enhances but is not required.

Step 0.5: Detect Tracking Mode

bash

if command -v bd &>/dev/null; then
  TRACKING_MODE="beads"
else
  TRACKING_MODE="tasklist"
  echo "Note: bd CLI not found. Using TaskList for issue tracking."
fi

Tracking mode determines the source of truth for the rest of the workflow:

	Beads Mode	TaskList Mode
Source of truth	`bd` (beads issues)	TaskList (Claude-native)
Find work	`bd ready`	`TaskList()` → pending, unblocked
Get details	`bd show <id>`	`TaskGet(taskId)`
Mark complete	`bd update <id> --status closed`	`TaskUpdate(taskId, status="completed")`
Track retries	`bd comments add`	Task description update
Epic tracking	`bd update <epic-id> --append-notes`	In-memory wave counter

Step 1: Identify the Epic / Work Source

Beads mode:

If epic ID provided: Use it directly. Do NOT ask for confirmation.

If no epic ID: Discover it:

bash

bd list --type epic --status open 2>/dev/null | head -5

If multiple epics found, ask user which one.

TaskList mode:

If input is an epic ID → Error: "bd CLI required for beads epic tracking. Install bd or provide a plan file / task list."

If input is a plan file path (

.md

Read the plan file
Decompose into TaskList tasks (one
```
TaskCreate
```
per distinct work item)
Set up dependencies via
```
TaskUpdate(addBlockedBy)
```
Proceed to Step 3

If no input:

Check
```
TaskList()
```
for existing pending tasks
If tasks exist, use them as the work items
If no tasks, ask user what to work on

If input is a description string:

Decompose into tasks (
```
TaskCreate
```
for each)
Set up dependencies
Proceed to Step 3

Step 1a: Initialize Wave Counter

Beads mode:

bash

# Initialize crank tracking in epic notes
bd update <epic-id> --append-notes "CRANK_START: wave=0 at $(date -Iseconds)" 2>/dev/null

TaskList mode: Track wave counter in memory only. No external state needed.

Track in memory:

wave=0

Step 2: Get Epic Details

Beads mode:

bash

bd show <epic-id> 2>/dev/null

TaskList mode:

TaskList()

to see all tasks and their status/dependencies.

Step 3: List Ready Issues (Current Wave)

Beads mode:

Find issues that can be worked on (no blockers):

bash

bd ready 2>/dev/null

bd ready
returns the current wave - all unblocked issues. These can be executed in parallel because they have no dependencies on each other.

TaskList mode:

TaskList()

→ filter for status=pending, no blockedBy (or all blockers completed). These are the current wave.

Step 3a: Pre-flight Check - Issues Exist

Verify there are issues to work on:

If 0 ready issues found (beads mode) or 0 pending unblocked tasks (TaskList mode):

STOP and return error:
  "No ready issues found for this epic. Either:
   - All issues are blocked (check dependencies)
   - Epic has no child issues (run /plan first)
   - All issues already completed"

Also verify: epic has at least 1 child issue total. An epic with 0 children means /plan was not run.

Do NOT proceed with empty issue list - this produces false "epic complete" status.

Step 4: Execute Wave via Swarm

BEFORE each wave:

bash

wave=$((wave + 1))
WAVE_START_SHA=$(git rev-parse HEAD)

if [[ "$TRACKING_MODE" == "beads" ]]; then
    bd update <epic-id> --append-notes "CRANK_WAVE: $wave at $(date -Iseconds)" 2>/dev/null
fi

# CHECK GLOBAL LIMIT
if [[ $wave -ge 50 ]]; then
    echo "<promise>BLOCKED</promise>"
    echo "Global wave limit (50) reached."
    # STOP - do not continue
fi

Cross-cutting constraint injection (SDD):

Before spawning workers, check for cross-cutting constraints:

bash

# Guard clause: skip if plan has no boundaries (backward compat)
PLAN_FILE=$(ls -t .agents/plans/*.md 2>/dev/null | head -1)
if [[ -n "$PLAN_FILE" ]] && grep -q "## Boundaries" "$PLAN_FILE"; then
    # Extract "Always" boundaries and convert to cross_cutting checks
    # Read the plan's ## Cross-Cutting Constraints section or derive from ## Boundaries
    # Inject into every TaskCreate's metadata.validation.cross_cutting
fi
# "Ask First" boundaries: in auto mode, log as annotation only (no blocking)
# In --interactive mode, prompt before proceeding

When creating TaskCreate for each wave issue, include cross-cutting constraints in metadata:

json

{
  "validation": {
    "files_exist": [...],
    "content_check": {...},
    "cross_cutting": [
      {"name": "...", "type": "content_check", "file": "...", "pattern": "..."}
    ]
  }
}

For wave execution details (beads sync, TaskList bridging, swarm invocation), read
skills/crank/references/team-coordination.md
.

Cross-cutting validation (SDD):

After per-task validation passes, run cross-cutting checks across all files modified in the wave:

bash

# Only if cross_cutting constraints were injected
if [[ -n "$CROSS_CUTTING_CHECKS" ]]; then
    WAVE_FILES=$(git diff --name-only "${WAVE_START_SHA}..HEAD")
    for check in $CROSS_CUTTING_CHECKS; do
        run_validation_check "$check" "$WAVE_FILES"
    done
fi

Step 5: Verify and Sync to Beads (MANDATORY)

Swarm executes per-task validation (see
skills/shared/validation-contract.md
). Crank trusts swarm validation and focuses on beads sync.

For verification details, retry logic, and failure escalation, read
skills/crank/references/team-coordination.md
and
skills/crank/references/failure-recovery.md
.

Step 5.5: Wave Vibe Gate (MANDATORY)

Principle: Fresh context catches what saturated context misses. No self-grading.

For wave vibe gate details (diff computation, acceptance criteria, verdict gating), read
skills/crank/references/wave-patterns.md
.

Step 5.7: Wave Checkpoint

After each wave completes (post-vibe-gate, pre-next-wave), write a checkpoint file:

bash

mkdir -p .agents/crank

cat > ".agents/crank/wave-${wave}-checkpoint.json" <<EOF
{
  "wave": ${wave},
  "timestamp": "$(date -Iseconds)",
  "tasks_completed": $(echo "$COMPLETED_IDS" | jq -R 'split(" ")'),
  "tasks_failed": $(echo "$FAILED_IDS" | jq -R 'split(" ")'),
  "files_changed": $(git diff --name-only "${WAVE_START_SHA}..HEAD" | jq -R . | jq -s .),
  "git_sha": "$(git rev-parse HEAD)"
}
EOF

```
COMPLETED_IDS
```
/
```
FAILED_IDS
```
: space-separated issue IDs from the wave results.
On retry of the same wave, the file is overwritten (same path).
Checkpoint files are informational — no resume logic reads them yet (future work).

Step 6: Check for More Work

After completing a wave, check for newly unblocked issues (beads:

bd ready

, TaskList:

TaskList()

). Loop back to Step 4 if work remains, or proceed to Step 7 when done.

For detailed check/retry logic, read
skills/crank/references/team-coordination.md
.

Step 7: Final Batched Validation

When all issues complete, run ONE comprehensive vibe on recent changes. Fix CRITICAL issues before completion.

For detailed validation steps, read
skills/crank/references/failure-recovery.md
.

Step 8: Extract Learnings (ao Integration)

If ao CLI available: run

ao forge transcript

ao flywheel status

, and

ao pool list --tier=pending

to extract and review learnings. If ao unavailable, skip and recommend

/post-mortem

manually.

Step 9: Report Completion

Tell the user:

Epic ID and title
Number of issues completed
Total iterations used (of 50 max)
Final vibe results
Flywheel status (if ao available)
Suggest running
```
/post-mortem
```
to review and promote learnings

Output completion marker:

<promise>DONE</promise>
Epic: <epic-id>
Issues completed: N
Iterations: M/50
Flywheel: <status from ao flywheel status>

If stopped early:

<promise>BLOCKED</promise>
Reason: <global limit reached | unresolvable blockers>
Issues remaining: N
Iterations: M/50

The FIRE Loop

Crank follows FIRE (Find → Ignite → Reap → Vibe → Escalate) for each wave. Loop until all issues are CLOSED (beads) or all tasks are completed (TaskList).

For FIRE loop details, parallel wave models, and wave vibe gate, read
skills/crank/references/wave-patterns.md
.

Key Rules

Auto-detect tracking - check for
```
bd
```
at start; use TaskList if absent
Plan files as input -
```
/crank plan.md
```
decomposes plan into tasks automatically
If epic ID given, USE IT - don't ask for confirmation (beads mode only)
Swarm for each wave - delegates parallel execution to swarm
Fresh context per issue - swarm provides Ralph pattern isolation
Batch validation at end - ONE vibe at the end saves context
Fix CRITICAL before completion - address findings before reporting done
Loop until done - don't stop until all issues closed / tasks completed
Autonomous execution - minimize human prompts
Respect wave limit - STOP at 50 waves (hard limit)
Output completion markers - DONE, BLOCKED, or PARTIAL (required)
Knowledge flywheel - load learnings at start, forge at end (ao optional)
Beads ↔ TaskList sync - in beads mode, crank bridges beads issues to TaskList for swarm

Distributed Mode: Agent Mail Orchestration (Experimental)

Status: Experimental. Local mode (TaskList + swarm) is the recommended execution method.

For distributed mode details (architecture, execution steps, Chiron pattern, file reservations, checkpoint handling), read
skills/crank/references/distributed-mode.md
.

References

Wave patterns:

skills/crank/references/wave-patterns.md

Team coordination:

skills/crank/references/team-coordination.md

Failure recovery:

skills/crank/references/failure-recovery.md

Distributed mode:

skills/crank/references/distributed-mode.md

Agent Mail Protocol:
```
skills/shared/agent-mail-protocol.md
```
Parser (Go):
```
cli/internal/agentmail/
```

crank

NPX Install

Tags

SKILL.md Content

Crank Skill

Architecture: Crank + Swarm

Global Limits

Completion Enforcement (The Sisyphus Rule)

Execution Steps

Step 0: Load Knowledge Context (ao Integration)

Step 0.5: Detect Tracking Mode

Step 1: Identify the Epic / Work Source

Step 1a: Initialize Wave Counter

Step 2: Get Epic Details

Step 3: List Ready Issues (Current Wave)

Step 3a: Pre-flight Check - Issues Exist

Step 4: Execute Wave via Swarm

Step 5: Verify and Sync to Beads (MANDATORY)

Step 5.5: Wave Vibe Gate (MANDATORY)

Step 5.7: Wave Checkpoint

Step 6: Check for More Work

Step 7: Final Batched Validation

Step 8: Extract Learnings (ao Integration)

Step 9: Report Completion

The FIRE Loop

Key Rules

Distributed Mode: Agent Mail Orchestration (Experimental)

References