Skills
The open registry for AI agent skills — structured prompts and workflows with recommended models, example prompts, and compatible tools.
Skills
5
Categories
9
Compatible tools
5
Contributors
1
Showing 1–5 of 5 skills
Helps turn a game concept into a structured game design document. Captures the core loop, mechanics, progression, economy, controls, level structure, art and audio direction, and target platform and audience. Keeps scope realistic, flags dependencies and risks, and produces a living GDD that a small team can build from.
Turns a script, concept, or product idea into a shot-by-shot storyboard. Breaks the narrative into scenes and panels with framing, camera movement, action, and dialogue notes, and generates image-model prompts for each panel so teams can visualize a video, ad, or explainer before production.
Designs conversational scripts and dialog flows for voice assistants, IVR systems, and chatbots. Crafts natural prompts and responses, handles confirmations, errors, and re-prompts, designs branching flows and fallbacks, and adapts tone for the brand while keeping turns concise and accessible for audio-first interfaces.
Creates production-grade frontend interfaces with high design quality. Generates complete UI components, pages, and layouts using modern frameworks (React, Vue, Svelte) with Tailwind CSS or CSS-in-JS. Focuses on unique, polished designs that avoid generic AI aesthetics — emphasizing typography, spacing, color harmony, and micro-interactions.
Generates complete, responsive landing pages from a product description or brief. Produces semantic HTML, modern CSS (Tailwind or vanilla), and optional JavaScript for interactions. Follows conversion-optimized layouts with hero sections, features, social proof, pricing, and CTAs.
Skills vs MCP servers
what's the difference?Skillsthe “what to do”
A skillA reusable, structured prompt/workflow with recommended models, an example prompt, and compatible tools. packages know-how — instructions, an example promptA ready-to-use prompt template that demonstrates how to invoke the skill., and recommended models — so an agent performs a task consistently. Skills add knowledge, not new connections.
MCP serversthe “how to connect”
An MCP serverModel Context Protocol server — a standard way to expose tools, resources, and prompts to AI agents and IDEs. gives an agent new capabilities by connecting it to real systems (databases, APIs, files) over a transportHow the client talks to the server: stdio (local process), SSE, or HTTP streaming.. MCP adds connections and actions, not task instructions.
Rule of thumb: reach for a skill when you need the model to do a task well, and an MCP server when you need it to reach a tool or system. They compose — a skill can rely on tools an MCP server provides.
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