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Found 8,557 Skills
Terramate CLI, Cloud, and Catalyst best practices and usage guides. This skill should be used when working with Terramate stacks, orchestration, code generation, Cloud integration, or Catalyst components and bundles.
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
Edit PDFs with natural-language instructions using the nano-pdf CLI.
This skill should be used when the user asks about MJML syntax, components, or attributes, when writing or editing MJML email templates, when creating responsive email layouts, when troubleshooting MJML rendering issues, or when asking about email client compatibility.
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with any AI model (OpenRouter, Gemini, OpenAI, local models). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, Gemini, OpenAI, Ollama, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
Control Cursor AI code editor via CLI. Open files, folders, diffs, and manage extensions.
Agent Script DSL development skill for Salesforce Agentforce. Enables writing deterministic agents in a single .agent file with FSM architecture, instruction resolution, and hybrid reasoning. Covers syntax, debugging, testing, and CLI deployment.
Next.js 15+ App Router development patterns including Server Components, Client Components, data fetching, layouts, and server actions. Use when creating pages, routes, layouts, components, API route handlers, server actions, loading states, error boundaries, or working with Next.js navigation and metadata.
Enable agents to use the Clawhub CLI (clawbub) to install, import, publish, and manage AgentSkills. Use when an agent needs to interact with Clawhub from the command line for skill development, publishing, or syncing.
Android device control and UI automation via ADB using a TypeScript helper CLI. Use for device/emulator discovery, USB or Wi-Fi connection, app launch/force-stop, tap/swipe/keyevent/text input, screenshots, APK install handling, device reset for app, and ADB troubleshooting. Use with ai-vision for screenshot-based UI recognition and coordinate decisions.
Comprehensive markdown linting guidance using markdownlint-cli2. Run, execute, check, and validate markdown files. Fix linting errors (MD0XX rules). Configure .markdownlint-cli2.jsonc (rules and ignores). Set up VS Code extension and GitHub Actions workflows. Supports markdown flavors including GitHub Flavored Markdown (GFM) and CommonMark. Use when working with markdown files, encountering validation errors, configuring markdownlint, setting up linting workflows, troubleshooting linting issues, establishing markdown quality standards, or configuring flavor-specific rules for tables, task lists, and strikethrough.
Expert guidance for working with Dagster and the dg CLI. ALWAYS use before doing any task that requires knowledge specific to Dagster, or that references assets, materialization, or data pipelines. Common tasks may include creating a new project, adding new definitions, understanding the current project structure, answering general questions about the codebase (finding asset, schedule, sensor, component or job definitions), debugging issues, or providing deep information about a specific Dagster concept.