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⚙ Needs: a project using (or planning to use) the Vercel AI S…

Vercel AI SDK — knowledge skill for building AI features (short listing)

Short listing — license not verifiable: a "don't trust your memory" knowledge skill for the Vercel AI SDK (ai@6) — always verify against bundled docs and source, ToolLoopAgent patterns, type-safe agents, common errors, and the AI Gateway reference

At a glance
What
Short listing — license not verifiable: a "don't trust your memory" knowledge skill for the Vercel AI SDK (ai@6) — always verify against bundled docs and source, ToolLoopAgent patterns, type-safe agents, common errors, and the AI Gateway reference
Cost
Free
Needs
a project using (or planning to use) the Vercel AI SDK — the ai package installed (pnpm add ai) so the skill can search node_modules/ai/docs/ and node_modules/ai/src/; a model provider key (Vercel AI Gateway recommended)
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @midudev
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Install

Prerequisites: a project using (or planning to use) the Vercel AI SDK — the ai package installed (pnpm add ai) so the skill can search node_modules/ai/docs/ and node_modules/ai/src/; a model provider key (Vercel AI Gateway recommended) Install "Vercel AI SDK — knowledge skill for building AI features (short listing)" for me. It gives my agent @midudev's AI SDK knowledge workflow: never trust internal knowledge — verify every API against the bundled docs and source in node_modules/ai/ (or ai-sdk.dev), check the common-errors reference before writing client code, always fetch current model IDs from the AI Gateway, run typecheck after changes, build agents with the ToolLoopAgent pattern, and consume them type-safely with useChat (InferAgentUIMessage). IMPORTANT: the license terms were not verifiable (the discovery manifest records NOASSERTION) — fetch from the link only, reproduce nothing beyond the link, and read the terms yourself before use. Repository: https://github.com/midudev/autoskills/blob/main/packages/autoskills/skills-registry/use-ai-sdk/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "ai-sdk". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install the ai package in my project; configure my provider key via the AI Gateway; run typecheck after SDK code changes). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

Where does my money go?

Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.