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Found 99 Skills
This skill should be used when setting up or running the Ralph autonomous coding loop that iterates through stories, runs tests, commits, and logs learnings.
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.
Analyze completed Ralph worktree branches, build a smart merge priority queue, and sequentially squash-merge them into main with worktree cleanup. Use this skill whenever the user wants to merge ralph worktrees, merge completed features, clean up finished ralph branches, process the ralph merge queue, or asks about which ralph branches are ready to merge. Triggers on: merge worktrees, ralph merge, merge completed branches, ralph cleanup, merge queue, which branches are done, squash ralph branches.
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.
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 reporting progress in autonomous loop iterations. Triggers at the end of every autonomous loop iteration, when the autonomous-loop skill completes a BUILD phase, when progress reporting is needed for monitoring or exit evaluation, or when producing machine-parseable RALPH_STATUS blocks with exit signal protocol.
Self-referential loop until task completion with architect verification
Use when managing Ralph orchestration loops, analyzing diagnostic data, debugging hat selection, investigating backpressure, or performing post-mortem analysis
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.
Generates iterable checklist PROMPT files for Ralph Loop from plan files or current context, and provides the /ralph-loop execution command.
Execute a single Ralph iteration - implement one user story autonomously. Use for manual mode where you want maximum control and fresh context per story. Triggers on: ralph iterate, execute one story, run single iteration, manual ralph.
Generate structured prd.json files for autonomous agent loops (Ralph Wiggum pattern). Use when planning bulk/batch tasks, migrations, refactoring campaigns, or any work that can be decomposed into independent items with verification steps.