Automates task execution using a PRD-driven loop to ensure all acceptance criteria are verified before completion.

Install

mkdir -p .claude/skills/ralph-jmstar85 && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/18432" && unzip -o skill.zip -d .claude/skills/ralph-jmstar85 && rm skill.zip

Installs to .claude/skills/ralph-jmstar85

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

PRD-driven persistence loop until task completion with verification. Activate when user says: ralph, don't stop, must complete, finish this, keep going until done.
163 chars✓ has a “when” trigger
Advanced

Key capabilities

  • Maintain a persistence loop until task completion
  • Generate a PRD scaffold with task-specific acceptance criteria
  • Implement stories by delegating to an executor
  • Verify acceptance criteria with fresh evidence
  • Mark stories complete and track progress
  • Perform mandatory cleanup pass and regression re-verification

How it works

The skill maintains a persistence loop that reads from a PRD, picks the highest-priority incomplete story, implements it, and verifies its acceptance criteria. It iterates until all stories pass and are reviewer-verified.

Inputs & outputs

You give it
Task description
You get back
Completed task with all user stories passing, reviewer-verified, and a clean codebase

When to use ralph

  • Execute complex features with multiple sub-tasks
  • Manage long-running development goals
  • Verify code requirements against a PRD
  • Maintain state across multiple coding iterations

About this skill

Ralph

Ralph is a PRD-driven persistence loop that keeps working on a task until ALL user stories have passes: true and are reviewer-verified.

When to Use

  • Task requires guaranteed completion with verification
  • Work may span multiple iterations and needs persistence
  • Task benefits from structured PRD-driven execution

When NOT to Use

  • Full autonomous pipeline → use /omg-autopilot
  • Explore or plan before committing → use /plan
  • Quick one-shot fix → delegate to @executor

Flags

  • --no-prd: Skip PRD generation, work in legacy mode (for trivial fixes)
  • --no-deslop: Skip the mandatory post-review cleanup pass

Steps

1. PRD Setup (first iteration)

  • Check if .omg/prd.json exists via omg_read_prd
  • If none exists, generate a PRD scaffold with task-specific acceptance criteria
  • CRITICAL: Replace generic criteria with specific, testable ones
  • Initialize progress tracking

2. Pick Next Story

  • Read PRD via omg_read_prd
  • Select highest-priority story with passes: false

3. Implement Current Story

  • Delegate to @executor at appropriate complexity level
  • If sub-tasks are discovered, add as new stories to PRD

4. Verify Acceptance Criteria

  • For EACH criterion, verify with fresh evidence
  • Run relevant checks (test, build, lint, typecheck)
  • If any criterion NOT met, continue working

5. Mark Story Complete

  • Set passes: true via omg_update_story
  • Record progress in progress.txt

6. Check PRD Completion

  • Call omg_check_completion
  • If NOT all complete, loop to Step 2
  • If ALL complete, proceed to verification

7. Reviewer Verification

  • @verifier checks against specific acceptance criteria from PRD
  • @architect reviews for architectural soundness

7.5 Mandatory Cleanup Pass

  • Unless --no-deslop, run /ai-slop-cleaner on changed files only

7.6 Regression Re-verification

  • Re-run all tests after cleanup pass
  • Only proceed after regression tests pass

8. Completion

  • On approval: run /cancel for clean exit
  • On rejection: fix issues, re-verify, loop back

Execution Policy

  • Fire independent tasks simultaneously
  • Run builds/tests in background
  • Deliver full implementation: no scope reduction, no partial completion

Checklist

  • All PRD stories have passes: true
  • Acceptance criteria are task-specific (not generic)
  • All requirements met (no scope reduction)
  • Fresh test output shows all tests pass
  • Reviewer verification passed
  • Cleanup pass completed (or --no-deslop)
  • Post-cleanup regression tests pass

When not to use it

  • A quick one-shot fix is needed

Limitations

  • The skill is not for full autonomous pipelines.
  • The skill is not for exploration or planning before committing.
  • The skill is not for quick one-shot fixes.

How it compares

This skill provides a PRD-driven persistence loop with mandatory verification and cleanup passes, ensuring guaranteed task completion and quality, unlike a simple task execution that might not include these checks.

Compared to similar skills

ralph side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
ralph (this skill)03moNo flagsAdvanced
linear101moNo flagsBeginner
zapier-workflows118moReviewBeginner
attio-skill-generator77moReviewIntermediate

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