Agent skill

ai-sdk-setup

Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ai-sdk-setup --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 0 KB
Bundled scripts: none
Path: skills/ai-llm/ai-sdk-setup/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AI SDK & Simple Chat To set up AI SDK & Simple Chat, refer to the fullstackrecipes MCP server resource: **Resource URI:** `recipe://fullstackrecipes.com/ai-sdk-setup` Use the fullstackrecipes MCP server to fetch this resource and follow the setup instructions.

What's inside
Ships with 1 file
  • metadata.json
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About this skill
What does the ai-sdk-setup skill do?

Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ai-sdk-setup --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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