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Found 99 Skills
Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.
Use when committing changes, staging files, or finishing work in a git worktree. Covers smart commit, multi-concern splitting, sensitive-file guarding, and worktree merge.
Use when committing changes, staging files, or finishing work in a git worktree. Covers smart commit, multi-concern splitting, sensitive-file guarding, and worktree merge.
Refactor high-complexity React components in frontend. Use when the user asks for code splitting, hook extraction, or complexity reduction, or when you come across a component that is too complex to understand and refactor it.
Use when addressing open PR review comments from any reviewer (human or bot) within the current agent session. For a fresh-context-per-comment approach, use ralph-wiggum-loop instead.
Cancel any active OMC mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline, team)
Run the Ouroboros specification-first development loop: reduce ambiguity with a Socratic interview, freeze an immutable seed/spec, execute against that contract, verify before claiming success, and keep looping until completion is actually verified. Use when the user wants spec-first clarification, immutable requirements, drift-aware implementation, or a persistent completion loop that should keep going until tests / checks / acceptance criteria pass. Triggers on: ooo, ouroboros, interview, seed, run workflow, evaluate, evolve, ooo ralph, specification first, socratic interview, ambiguity reduction, persistent completion.
Use when you need multi-agent orchestration for OpenAI Codex CLI. Triggers on: omx, $plan, $ralph, $team, $autopilot, $deep-interview. v0.11.10 — 30+ agents, 35+ workflow skills, tmux team runtime, sparkshell, explore, ralplan.
Use when you need Teams-first multi-agent orchestration in Claude Code. Triggers on: omc, autopilot, ralph, ulw, ccg, team. 29+ specialized agents, smart model routing (Haiku→Opus), persistent execution loops, skill layers, real-time HUD.
Integrated AI agent orchestration skill that combines plannotator, ralphmode, team or bmad execution, agent-browser verification, and agentation feedback loops, while maintaining a project-local `.jeo` ledger for planning, development, and QA. Use when the user wants an end-to-end multi-agent workflow with plan approval, implementation, UI review, cleanup, and durable task history. Triggers on: jeo, annotate, ui-review, multi-agent orchestration.
Reverse-engineer a product into a mechanically verifiable feature catalog + code map + specs using an RPI-style loop. Triggers: reverse engineer product, catalog full feature set, docs->code mapping, feature inventory, code map, “Ralph loop”, SaaS boundary mapping, security audit reverse engineering, authorized binary analysis.
System Architect that creates parallelizable PRDs with junior-proof technical specs. Use when planning features, designing implementations, or when the user says 'plan', 'architect', 'design', or 'PRD'. Outputs PRDs organized in Priority groups where tasks within each group can be executed in parallel by independent dev subagents (ralph). Each user story includes file ownership, technical specs, and acceptance criteria detailed enough for a Sonnet-class model to implement without clarification.