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Found 9,558 Skills
Diagnose and fix broken Goldsky Mirror pipelines. Use this skill whenever a user has a Mirror pipeline that is failing, stuck, terminated, won't start, is in a restart loop, or is blocked by an in-flight request. Also use when the user mentions a specific Mirror pipeline name alongside a problem — even if they don't say 'mirror' explicitly, if they're using `goldsky pipeline` commands (not `goldsky turbo`), this is the right skill. Runs CLI commands directly to check status, read errors, identify root cause, and apply fixes. For YAML syntax or config reference, use /mirror instead. For turbo pipeline problems, use /turbo-doctor instead.
Turn a completed experiment iteration into an honest, evidence-backed analysis — a markdown report and a portable data dump. Pulls run data via the tpc CLI, scores each task, clusters friction by root cause (with a transcript example per claim), compares arms, and closes on agent-readiness gaps. The natural companion to setup-experiment: setup → run → analyze. Trigger when users say: "analyze my experiment", "write the report", "experiment report", "analyze the results", "summarize the runs", "what happened in this iteration", "friction report", or "report gen".
OKX.AI Trading Hackathon (交易黑客松 / OKX.AI 交易黑客松 / 报名黑客松 / 黑客马拉松) registration. Use when the user wants to register for / sign up for / enter / join / 报名 / 参加 / 参赛 the OKX.AI trading hackathon — e.g. 'Register me for the OKX.AI Trading Hackathon', '我要参加黑客松', '帮我报名 OKX.AI 的交易黑客松' — or asks about its entry requirements / eligibility / 报名条件 / 参赛资格 / how to enter. The object is always the hackathon itself: it enters a Trading ASP the user already has and never creates one. Each activity carries its own flow, gates, and CLI reference under this skill's references/, picked by the Intent Routing table.
This skill should be used when the user asks to "make a video with Remotion", "create a programmatic/data-driven video in React", "render an MP4/GIF from code", "animate with useCurrentFrame/interpolate/spring", "sync video to audio/beats", or "render a templated video per record headlessly". Covers building React compositions and rendering them via CLI or @remotion/renderer.
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
Scaffolds a headless agent in TypeScript using @openrouter/agent and Bun — for CLI tools, API servers, queue workers, and pipelines. No terminal UI. Use when building a headless agent, programmatic agent, CLI tool that uses AI, batch agent, pipeline agent, API agent, agent without a UI, or agent service.
Renders a Structurizr workspace as a Claude artifact or a static site, using the Renderizr CLI. Use when the user wants to see, share, publish or hand over a C4 architecture model — "show me the architecture", "turn this workspace into an artifact", "publish these diagrams" — or mentions Renderizr, workspace.json or artifact.html.
Use when working with icons in any project. Provides CLI for searching 200+ icon libraries (Iconify) and retrieving SVGs. Commands: `better-icons search <query>` to find icons, `better-icons get <id>` to get SVG. Also available as MCP server for AI agents.
Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions.
This skill should be used when users want to create animated CLI demos, terminal recordings, or command-line demonstration GIFs. It supports both manual tape file creation and automated demo generation from command descriptions. Use when users mention creating demos, recording terminal sessions, or generating animated GIFs of CLI workflows.
Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
Manage Apple Reminders via the `remindctl` CLI on macOS (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.