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Found 9,875 Skills
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Supports image classification, object detection, semantic / instance / panoptic segmentation, depth estimation, image-text-to-text VLM (SFT / LoRA), and LLM SFT / DPO / GRPO. Six-step workflow: inspect and qualify, hardware and NGC image, research, generate and smoke, train + eval + infer, push and emit rerun skill.
Extracts, retrieves, and applies CMS brand guidelines (voice, tone, style, colors, typography) to generated content. Use this skill ANY TIME a user request involves branding, brand voice, brand tone, brand guidelines, brand identity, brand styling, or applying a brand to content. Triggers for requests like "apply my brand", "use our brand voice", "match our brand guidelines", "find my brand", "search for brand", "get brand instructions", "apply brand tone". Handles the full workflow: searching for brands in Salesforce CMS, extracting brand instructions, and applying brand voice/tone/guidelines to generated content. Does not apply to media/image search (use experience-content-media-search skill), logo search, or creating new brand definitions.
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Use when fixing VoiceOver issues, Dynamic Type violations, color contrast failures, touch target problems, keyboard navigation gaps, or Reduce Motion support - comprehensive accessibility diagnostics with WCAG compliance, Accessibility Inspector workflows, and App Store Review preparation for iOS/macOS
Generate declarative multi-agent systems (MAS) using POMASA pattern language. Use when building agent pipelines, orchestrating multiple AI agents, or creating research automation workflows. Supports patterns like Prompt-Defined Agent, Orchestrated Pipeline, Filesystem Data Bus, and Verifiable Data Lineage.
Use when app feels slow, memory grows over time, battery drains fast, or you want to profile proactively - decision trees to choose the right Instruments tool, deep workflows for Time Profiler/Allocations/Core Data, and pressure scenarios for misinterpreting results
Technical documentation and knowledge management expert. Use when creating comprehensive documentation systems, improving developer knowledge sharing, or building documentation-driven development workflows.
Build conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
Automated release workflow for oh-my-claudecode
Deploy Next.js applications (App Router and Pages Router) to Cloudflare Workers using the OpenNext adapter. This skill should be used when deploying Next.js apps with SSR, ISR, or server components to Cloudflare's serverless platform. It covers setup for both new and existing projects, configuration requirements, development workflows, integration with Cloudflare services (D1, R2, KV, Workers AI), and prevention of 10+ documented errors including worker size limits, runtime compatibility, database connection scoping, and security vulnerabilities. Keywords: Cloudflare Next.js, OpenNext Cloudflare, @opennextjs/cloudflare, Next.js Workers, Next.js App Router Cloudflare, Next.js Pages Router Cloudflare, Next.js SSR Cloudflare, Next.js ISR, server components cloudflare, server actions cloudflare, Next.js middleware workers, nextjs d1, nextjs r2, nextjs kv, Next.js deployment, opennextjs-cloudflare cli, nodejs_compat, worker size limit, next.js runtime compatibility, database connection scoping, Next.js migration cloudflare
Use when SDK generation failed or seeing errors. Triggers on "generation failed", "speakeasy run failed", "SDK build error", "workflow failed", "Step Failed", "why did generation fail"