Clone important project dependency source code into an ignored local workspace so OpenCode can inspect library internals. Use when the user asks to clone dependencies, inspect dependency/source internals, understand SDK/framework behavior from source, debug library implementation details, or make core dependency repos…
Configure and improve oh-my-opencode-slim for the current user. Use when users want to tune agents, models, prompts, custom agents, skills, MCPs, presets, or plugin behavior. Also use when recurring workflow friction suggests a safe config or prompt improvement.
Review recent work, find repeated workflow patterns, and suggest reusable skills, agents, commands, config changes, or playbooks. Use when the user asks to learn from past sessions, improve recurring workflows, or identify what should be turned into reusable agent instructions.
Review a diff, branch, or PR along three axes — Correctness (does it work, and does it step on a NodeTool landmine like cross-package imports, MsgPack framing, Zustand subscriptions, uiprimitives, packaged-Electron paths, IPC security?), Standards (does it follow the repo's documented rules, plus a Fowler smell…
Build and edit NodeTool visual workflows using UI tools. Use this skill whenever the user asks to create a workflow, connect nodes, build a pipeline, add nodes to a graph, generate images/video/audio via workflows, or asks about workflow patterns. Also use when the user mentions node types, data flow, or wants to…
Strip "AI slop" from code and prose in this repo — over-engineered abstractions, defensive checks on trusted paths, narrating comments, dead error handlers, redundant types, useEffect-for-derived-data, raw MUI imports, whole-store Zustand subscriptions, throat-clearing prose. Use when reviewing your own diff before…
AMBIENT BACKGROUND TASK — FIRE ON EVERY SUBSTANTIVE TURN. The user does NOT need to ask. When the user mentions ANY domain (drafting, building, writing, composing, researching, planning, comparing options, exploring, deciding, learning, debugging, designing, refactoring, configuring — ANY domain engagement), you MUST…
Cerebras API integration for building AI-powered applications with ultra-fast LLM inference. Use when working with Cerebras's Chat Completions API, Python SDK (cerebrascloudsdk), TypeScript SDK (@cerebras/cerebrascloudsdk), tool use/function calling, structured outputs with JSON schemas, reasoning models with thinking…
Groq API integration for building AI-powered applications with ultra-fast LLM inference. Use when working with Groq's Chat Completions API, Python SDK (groq), TypeScript SDK (groq-sdk), tool use/function calling, vision/image processing, audio transcription with Whisper, streaming responses, text-to-speech, content…