Announce: "I'm using dev-ralph-loop to set up verification loops."

Before starting ANY ralph loop, you MUST load the TDD skill to remember the testing gates and task reframing:

Skill(skill="workflows:dev-tdd")

This loads:

• Task reframing (your job is writing tests, not features)
• The Execution Gate (6 mandatory gates before E2E testing)
• GATE 5: READ LOGS (mandatory - cannot skip)
• The Iron Law of TDD (test-first approach)

Read dev-tdd skill content now before proceeding with ralph loops. </EXTREMELY-IMPORTANT>

Contents

• The Iron Law
• Per-Task Pattern
• Starting a Loop
• Inside the Loop
• Completing a Loop
• Example: Multi-Task Feature
• Rationalizations

Ralph Loop Pattern

ONE LOOP PER TASK. NOT ONE LOOP PER FEATURE. This is not negotiable.

A single feature-level loop provides ZERO per-task enforcement. You can just move to the next task without the loop actually gating anything.

Each task in PLAN.md gets its own ralph loop with its own completion promise. </EXTREMELY-IMPORTANT>

The Per-Task Pattern

For task N in PLAN.md (1, 2, 3, ...):
    1. Start ralph loop for task N
    2. Inside loop: spawn Task agents, iterate until done
    3. Output promise → loop ends
    4. Move to task N+1, start NEW ralph loop

Why per-task loops?

• Feature loops don't enforce task completion
• Without a loop per task, you can just... move on
• Each task needs its own completion gate
• The promise is your proof that the task is done

Starting a Loop

IMPORTANT: Avoid parentheses

()

For Implementation Tasks

Skill(skill="ralph-loop:ralph-loop", args="Task N: [TASK NAME] --max-iterations 10 --completion-promise TASKN_DONE")

For Debug Tasks

Skill(skill="ralph-loop:ralph-loop", args="Debug: [SYMPTOM] --max-iterations 15 --completion-promise FIXED")

Parameters

--max-iterations

--completion-promise

Inside the Loop

Each iteration follows this pattern:

1. Spawn Task Agent

Task(subagent_type="general-purpose", prompt="""
[TASK-SPECIFIC INSTRUCTIONS]

Context:
- Read .claude/LEARNINGS.md for prior attempts
- Read .claude/SPEC.md for requirements
- Read .claude/PLAN.md for approach

Report back: what was done, results, any blockers.
""")

2. Verify Results

After Task agent returns:

• Check if the work is actually complete
• Verify tests pass (for implementation)
• Verify bug is fixed (for debugging)

3. Decide: Promise or Iterate

If complete: Output the promise

<promise>TASKN_DONE</promise>

If incomplete: Do NOT output promise. Spawn another Task agent to continue.

You may ONLY output the promise when the statement is COMPLETELY AND UNEQUIVOCALLY TRUE.

The promise is a claim that:

• For implementation: "This task's tests pass. The implementation is complete."
• For debugging: "The bug is fixed. Regression test passes."

You may NOT output the promise to:

• "Move on" to the next task
• "Try something else"
• Skip verification

If the promise isn't true, don't output it. Keep iterating. </EXTREMELY-IMPORTANT>

Completing a Loop

When you output the promise, the ralph loop ends. Then:

1. Update PLAN.md - Mark task complete:

   - [ ] Task N: Description  →  - [x] Task N: Description
   

2. Log to LEARNINGS.md - What was done, any discoveries
3. Immediately start next task's loop - Same response, no pause

After outputting a promise, you MUST start the next task within the SAME RESPONSE.

Not "should". Not "recommended". MUST.

The only valid stopping points:

1. ALL tasks in PLAN.md are marked

   [x]

   complete
2. You hit a blocker that requires user input (be specific about what you need)
3. User explicitly interrupted

Finishing one task is NOT a stopping point. The user is waiting for the FEATURE, not status updates. </EXTREMELY-IMPORTANT>

Example: Multi-Task Feature

## Task 1: Create types
Skill(skill="ralph-loop:ralph-loop", args="Task 1: Create types --max-iterations 5 --completion-promise TASK1_DONE")

[Spawn Task agent → implements types]
[Verify: tsc --noEmit passes]

<promise>TASK1_DONE</promise>

[Update PLAN.md: - [ ] Task 1 → - [x] Task 1]
[Log to LEARNINGS.md]
[IMMEDIATELY continue to Task 2 - same response]

## Task 2: Add service method
Skill(skill="ralph-loop:ralph-loop", args="Task 2: Add service method --max-iterations 10 --completion-promise TASK2_DONE")

[Spawn Task agent → implements method]
[Verify: tests fail → iterate]
[Spawn Task agent → fixes tests]
[Verify: tests pass]

<promise>TASK2_DONE</promise>

[Update PLAN.md: - [ ] Task 2 → - [x] Task 2]
[Log to LEARNINGS.md]
[IMMEDIATELY continue to Task 3 - same response]

## Task 3: Add route handler
Skill(skill="ralph-loop:ralph-loop", args="Task 3: Add route handler --max-iterations 10 --completion-promise TASK3_DONE")

[Spawn Task agent → implements route]
[Verify: integration test passes]

<promise>TASK3_DONE</promise>

[Update PLAN.md: - [ ] Task 3 → - [x] Task 3]
[Log to LEARNINGS.md]

## All tasks complete - NOW you can stop

Rationalization Prevention

These thoughts mean STOP—you're about to skip enforcement:

Each task needs its own ralph loop. One feature loop provides ZERO per-task enforcement.

After outputting a promise: (1) Update PLAN.md, (2) Log to LEARNINGS.md, (3) Start next task's loop. All in the same response.

When NOT to Use Ralph Loops

Ralph loops are for:

• Implementation tasks (dev-implement)
• Bug fixes (dev-debug)

Ralph loops are NOT for:

• Exploration (dev-explore)
• Design (dev-design)
• Data science (ds uses output-first verification instead)
• Review phases (dev-review, ds-review)

Integration

This skill is invoked by:

• dev-implement

  - for implementation tasks

• dev-debug

  - for bug investigation and fixes

After all tasks complete, proceed to the next phase of the parent workflow.