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Found 106 Skills
Super Ralph Wiggum - autonomous iteration loops with templates, PRD support, progress tracking, and browser testing. This skill should be used when running Claude Code in autonomous loops for test coverage improvement, PRD-based feature development, documentation generation, dataset creation, lint fixing, code cleanup, or framework migrations. Combines the plugin's in-session loop mechanism with specialized templates and best practices from Geoffrey Huntley, Ryan Carson, and AI Hero.
Cancel an active Ralph Loop. Use when the user wants to stop, cancel, or abort a running ralph loop.
Use when managing Ralph orchestration loops, analyzing diagnostic data, debugging hat selection, investigating backpressure, or performing post-mortem analysis
Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.
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.
Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.
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.
Self-referential loop until task completion with architect verification
Multi-model deep review of the Ralph bd graph and plan via three parallel opencode processes (claude opus, gemini, gpt). Use for high-stakes runs where cross-model consensus reduces single-model bias.
Autonomous agent for tackling big projects. Create PRDs with user stories, then run them via the CLI. Sessions persist across restarts with pause/resume and real-time monitoring.
Create autonomous iterative loops (Ralph Wiggum pattern) for multi-step tasks. Use when setting up automated workflows that iterate over a backlog of tasks with clear acceptance criteria. Triggers on requests like "create a ralph loop", "set up an iterative agent", "automate this migration", or "create an autonomous loop".
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.