kv0906/cc-skills/ralph

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Set up and run Ralph Wiggum loop - autonomous AI coding with clean slate iterations, PRD-driven features, and CI quality gates. Use for long-running autonomous coding tasks.

Install

npx vskill@latest install kv0906/cc-skills/ralph

SKILL.md

The same SKILL.md was published earlier as belentani7/agent-skills/ralph.

Ralph Wiggum Loop Skill

Autonomous AI coding pattern that runs agents in iterations with clean context, working on PRD-driven features while maintaining CI green.

Commands

CommandAction
/ralphShow help menu
/ralph setupCreate Ralph infrastructure
/ralph initBuild custom PRD interactively
/ralph runExecute the autonomous loop

/ralph setup

Create all Ralph files in the current directory.

Steps:

  1. Read and copy templates from this skill's templates/ folder:
  1. Make script executable: chmod +x ralph-loop.sh
  1. Detect project context and customize:
  • Check for package.json → determine package manager (pnpm/npm/yarn)
  • Check for tsconfig.json → TypeScript project
  • Update test commands in ralph-loop.sh accordingly
  1. Show completion message with next steps

/ralph init

Guide user through creating a custom PRD interactively.

Questions to ask:

  1. Project name?
  2. What features do you want to build? (collect 3-5 user stories)
  3. For each story:
  • Title?
  • Description?
  • Acceptance criteria? (3-5 specific, testable criteria)

Output: Generate prd.json with user's input. Offer to create other Ralph files if not present.


/ralph run

Execute the Ralph loop.

Pre-flight checks:

  1. Verify ralph-loop.sh exists
  2. Verify prd.json exists
  3. Show summary:
  • Total user stories
  • Incomplete stories (where passes: false)
  • Max iterations configured
  1. Ask for confirmation
  2. Execute: ./ralph-loop.sh

/ralph (no args)

Show help menu:

Ralph Wiggum Loop - Autonomous AI Coding
Commands:
/ralph setup - Create Ralph infrastructure in this directory
/ralph init - Create a new PRD from scratch
/ralph run - Run the Ralph loop
What would you like to do?

Key Principles

  1. Clean slate each iteration - Fresh context, no baggage
  2. One feature at a time - Prevents scope creep
  3. CI must stay green - Tests and types pass every commit
  4. Progress tracking - Append to progress.txt each iteration
  5. Clear stop condition - <promise>COMPLETE</promise> when all stories pass
  6. Safety limit - Max iterations prevents infinite loops

PRD Quality Checklist

Good user stories are:

  • ✅ Specific and scoped (completable in one iteration)
  • ✅ Clear acceptance criteria (testable, unambiguous)
  • ✅ Properly prioritized (1 = highest)
  • ✅ Has "passes": false initially

Bad user stories are:

  • ❌ Too vague ("build the UI")
  • ❌ Too large (touches many systems)
  • ❌ Unclear criteria ("make it nice")

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
17
Repository forks
2
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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