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Found 82 Skills
The ultimate autonomous dev pipeline. Combines wavybaby (CoVe verification, skill discovery, MCP tooling) + GSD (roadmaps, phases, plans, discovery, state tracking) + Ralph (autonomous loop with circuit breakers). Generates a PRD, equips itself with the best tools, bootstraps a full GSD .planning/ structure, then runs Ralph to autonomously execute each plan with CoVe-verified code until the milestone is complete.
Sets up a Ralph autonomous development loop for any project. First generates a full PRD from the user's description, then derives a task plan from it. Wraps Claude Code in an intelligent while-true loop with circuit breakers, exit detection, session persistence, and progress tracking. Use when you want Claude to autonomously work through a task list until done.
Implement a single user story or task from a GitHub Issue backlog. Executes a single Ralph Loop iteration by fetching the next open issue, assigning it, implementing the code, creating a branch and PR, and moving on. You MUST use this skill when asked to "implement a user story", "run one iteration", "do the next task", "execute a ralph loop iteration", or "complete a task from the backlog".
A 10-step methodology for building software with AI collaboration - from north star through automated Ralph loop execution with zero human-in-the-loop code writing
PUA Loop — Autonomous Iterative Development with PUA Pressure. Runs continuously until the task is completed, no user interaction required. Combines the Ralph Loop iteration mechanism with PUA quality enforcement. Triggered by: '/pua loop', '/pua:loop', 'automatic loop', 'loop mode', 'keep running', 'automatic iteration'.
Ralph Wiggum loops - self-referential TDD iteration until tests pass
Interview the user and write a PRD for Ralph in .prd/prd-<feature>.md.
Iteratively improve skill frontmatter compliance using the Ralph loop pattern. USE FOR: run sensei, sensei help, improve skill, fix frontmatter, skill compliance, frontmatter audit, improve triggers, add anti-triggers, batch skill improvement, check skill tokens. DO NOT USE FOR: creating new skills (use skill-authoring), writing skill content, token optimization only (use markdown-token-optimizer), or non-frontmatter changes.
JEO — 통합 AI 에이전트 오케스트레이션 스킬. ralph+plannotator로 계획 수립, team/bmad로 실행, agent-browser로 브라우저 동작 검증, 작업 완료 후 worktree 자동 정리. Claude, Codex, Gemini CLI, OpenCode 모두 지원. 설치: ralph, omc, omx, ohmg, bmad, plannotator, agent-browser.
Use when developing or modifying visual elements (components, pages, layouts, styling). Covers Playwright screenshots, Compodium component preview, responsive/dark-mode verification, and the iteration loop.
Use when auditing, trimming, or restructuring AI skill files to reduce context-window consumption. Trigger whenever a SKILL.md exceeds 120 lines, skills share duplicated content, AGENTS.md has large inline blocks, or the user asks to optimize, slim down, or reduce token usage of their skills.
Use when scaffolding a new Nuxt 4 project with standard config files (prettier, eslint, gitignore, husky, vitest, tsconfig, sops) and bun scripts.