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Found 8,954 Skills
Search for available phone numbers by location and features, check coverage, and place orders. Use when acquiring new phone numbers. This skill provides Go SDK examples.
Skill converted from mcp-create-declarative-agent.prompt.md
Automate Calendly scheduling, event management, invitee tracking, availability checks, and organization administration via Rube MCP (Composio). Always search tools first for current schemas.
Prepare inputs for MTHDS methods. Use when user says "prepare inputs", "create inputs", "use my files", "generate test data", "template", "synthesize inputs", "mock inputs", "I have a PDF/image/document to use", "make sample data", or wants to create inputs.json for running a .mthds pipeline. Handles user-provided files, synthetic data generation, placeholder templates, and mixed approaches. Defaults to automatic mode.
iOS platform-specific development with XcodeBuildMCP tools for simulator, device, UI automation, and debugging. Use when building iPhone apps, testing on simulator/device, or automating UI interactions.
Design tokens and theming for shadcn/ui. Covers CSS variables, OKLCH colors, dark/light mode, and theme configuration for both Radix and Base UI primitives.
Set up and manage phone numbers in Vapi for inbound and outbound voice AI calls. Use when importing Twilio, Vonage, or Telnyx numbers, buying Vapi numbers, or configuring phone numbers for assistants.
Manage aesthetic templates - save visual systems from completed mockups as interpretable prose, apply to new plugins with adaptive layouts
Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context.
Better environment variable management for agents and humans with full type safety, CLI-based remote environment synchronization, and environment validation. Use when setting up typed config schemas, validating env variables, or managing remote env vars across Vercel, Netlify, Railway, Cloudflare, and Fly.io with better-env.
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
Query weather forecasts for China regions, supporting 15-day and hourly forecasts, as well as various living indices