Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Provides breakpoint guidance and responsive patterns for typography, grids, Flexbox, and visibility. Covers container queries, safe-area insets, orientation, desktop-down overrides, and touch versus hover handling.
Taiwan.md is an AI-native open knowledge base about Taiwan built with Astro v5. It features Traditional Chinese and English content, a D3.js knowledge graph, and a structured Markdown single-source-of-truth architecture.
Packages existing videos with kinetic titles, lower-thirds, data callouts, quotes, side panels, and picture-in-picture. Keeps the underlying footage intact and supports 16:9, 9:16, and 4:5 canvases.
Sizes markets using TAM, SAM, and SOM calculations with stated assumptions, methods, and caveats. Supports product ideas, business cases, and executive reviews.
Covers an AI SDK with provider-independent, type-safe interfaces. Supports streaming responses, tool calling, structured output, and multimodal content.
Provides project scaffolding through a CLI with more than 30 integrations and custom templates. Includes an MCP server for use by AI agents.
Provides an opinionated toolkit for producing JavaScript and TypeScript packages. Covers package building, version management, and publishing.
Provides a reactive, client-first store for API data. Supports collections, live queries, and optimistic mutations.
Provides a shared developer tools panel for TanStack libraries. Its plugin architecture supports extending the panel.
Provides headless, performant form state management with type safety. Supports TS/JS, React, Vue, Angular, Solid, Lit, and Svelte.
Provides framework-agnostic utilities for managing execution frequency and grouping work. Includes debouncing, throttling, rate limiting, queuing, and batching.
Provides asynchronous state management, server-state utilities, and data fetching. Supports TS/JS, React, Vue, Solid, Svelte, and Angular.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name