> Use the `gumroad` CLI to look up and manage Gumroad data from the terminal. Trigger when the user asks about Gumroad products, files, file uploads, attachments, sales, subscribers, licenses, payouts, audience emails, broadcasts, offer codes, webhooks, refund policies, or any Gumroad data lookup. Also trigger on "check my Gumroad", "look up a sale", "verify a license", "list my products", "how much have I made", "who bought", "recent sales", "refund a sale", "create a product", "upload a file", "attach a file to a product", "add a cover image", "set a product thumbnail", "get product content", "set product content", "upload product media", "publish a product landing page", "publish custom HTML", "clear custom HTML", "customize my profile page", "publish a profile landing page", "set profile custom HTML", "attach a file to a variant", "finish a failed upload", "abort an upload", "manage webhooks", "draft an email", "preview a broadcast", "send an audience email", "list drafts", "set refund policy", "check my refund policy", "check my earnings", "see my revenue", "who subscribed", "manage my store", "discount code", "coupon", "shipping status", "payout schedule", or any request to query or act on Gumroad data — even if the user doesn't say "Gumroad" explicitly but is clearly referring to their creator store or digital product sales. Do NOT trigger for Gumroad web UI, Rails, or codebase questions.
npx skills add https://github.com/antiwork/gumroad-cli --skill gumroad
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
Best practices for Remotion - Video creation in React
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
Best practices for Remotion - Video creation in React
Port an existing Remotion (React) composition''s source to HyperFrames HTML. Use ONLY on an explicit ask to port/convert/migrate/translate a Remotion source — one-way, Remotion-only. A passing Remotion mention, reference-only code, or "make something like my Remotion video" is a fresh build (/general-video). Unclear → /hyperframes.
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage...
Turn error logs, screenshots, voice notes, and rough bug reports into crisp, developer-ready GitHub issues with repro steps, impact, and evidence.
Take antiwork/gumroad from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.