ralph-wiggum-v2
Autonomous TDD development loop with parallel agent swarm, category evolution, and convergence detection. Use when running autonomous game development, quality improvement loops, or comprehensive codebase reviews.
npx skills add majiayu000/claude-skill-registry --skill ralph-wiggum-v2-adaptationio-skrillz-3 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ralph Wiggum v2 - Autonomous TDD Development Loop ## Quick Start ``` /ralph-wiggum-v2:ralph-loop --project "diablo-starcraft" --completion-promise "DIABLO_STARCRAFT_COMPLETE" ``` ## Overview Autonomous TDD development loop that uses parallel agent swarms to review code, discover issues, and fix them with test-first methodology until convergence criteria are met. ## Workflow ### Phase 1: Discovery & Initialization 1. **Locate or create state file**: `{project}/.ralph/state.json` 2. **Locate or create categories file**: `{project}/.ralph/categories.json` 3. **Bootstrap categories** from codebase structure if empty ### Phase 2: Parallel Agent Review Swarm Spawn 3-5 parallel agents with: - Random category (weighted toward lowest scores) - Random subcategory within that category - Random review style (never same as last 3 used) - Unique focus area (no overlap between agents) ### Phase 3: TDD Implementation Cycle For each finding: 1. Write failing test first 2. Implement minimal fix 3. Verify test passes 4. Update state ### Phase 4: Category Evolution After each iteration: 1. Merge new discoveries 2. Recalculate scores 3. Meta-review (every 5 iterations) ### Phase 5: Convergence Detect
- Quick Start
- Overview
- Workflow
- Phase 1: Discovery & Initialization
- Phase 2: Parallel Agent Review Swarm
- Phase 3: TDD Implementation Cycle
- Phase 4: Category Evolution
- Phase 5: Convergence Detection
- State Schema
- Categories Schema
- Review Styles
- Code Quality
- Reliability
- Performance
What does the ralph-wiggum-v2 skill do?
Autonomous TDD development loop with parallel agent swarm, category evolution, and convergence detection. Use when running autonomous game development, quality improvement loops, or comprehensive codebase reviews.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ralph-wiggum-v2-adaptationio-skrillz-3 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.