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Found 106 Skills
Review a Ralph plan and bd graph for defects via a subagent.
Run a coding agent in an autonomous loop via a /ralph command, gated by a preflight check that every CLI is installed, linked, and authenticated. Use when driving long-running autonomous development from a wide, outcome-focused prompt.
Self-referential completion loop for OpenCode. Re-injects continuation prompts until the task is fully complete with a completion promise.
Generate Ralph-compatible prompts for multiple related tasks. Creates phased prompts with sequential milestones, cumulative progress tracking, and phase-based completion promises. Use when creating prompts for CRUD implementations, multi-step features, staged migrations, or any work requiring multiple distinct but related tasks.
Add enhancements to an existing project with Ralph Loop automation. Use when adding features to existing code, enhancing a codebase, or when the user says "ralph enhance", "add feature", or "enhance".
Generates iterable checklist PROMPT files for Ralph Loop from plan files or current context, and provides the /ralph-loop execution command.
Autonomous mobile dev subagent that implements a single user story from a PRD for Expo / React Native apps. Use when you need parallel, independent mobile implementation tasks — screens, native components, data fetching, navigation. Designed to run alongside other ralph-mobile instances. Receives a specific task ID and PRD path. Returns a structured completion signal. Does NOT commit or modify the PRD — those are handled by the documenter. Loads expo, building-native-ui, vercel-react-native-skills, native-data-fetching, and expo-dev-client skills automatically.
Configure Claude Code, Codex CLI, and Gemini CLI for Ralph-style automation with fewer approval prompts while keeping project boundaries, secret denylists, and sandbox-first safety rules intact.
Create, inspect, validate, explain, and improve Ralph hat collections. Use this skill whenever the user asks to make or refine a `.ralph/hats/*.yml` workflow, debug hat routing, explain event topology, or tune a multi-hat Ralph run.
Use when performing ralph wiggum style long-running development loops with pacing control.
Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.
Master orchestrator for generating Ralph Wiggum-compatible prompts. Analyzes task requirements and routes to appropriate generator (single-task, multi-task, project, or research). Use when you need to create any Ralph loop prompt and want automatic selection of the right generator.