agentleFS
scibly-devscibly-dev/scibly/.agents/skills/ai-sdk/SKILL.md

ai-sdk

Skill39 starsChanged 3 months agoLicence not identifiedView on GitHub

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

  • Reads credentials
  • Installs packages

61 other projects use a version of this, 42 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use migrate-ai-sdk-v6-to-v7, eve and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • VercelSkill

    migrate-ai-sdk-v6-to-v7

    Migrate applications from AI SDK 6.x to AI SDK 7.0. Use when upgrading Vercel AI SDK packages, fixing v7 migration errors, or when the user mentions AI SDK v6, v7, upgrade, migration, breaking changes, system to instructions, fullStream, telemetry, tool context, or finalStep.

    Also in 3 projects that use this

  • OpenAISkill

    eve

    Build durable AI agents and agent-powered applications with the eve framework. Use when creating, editing, or debugging an eve project, or when choosing architecture for a new agent or agent experience that could benefit from eve's filesystem-first runtime, durable sessions, tools, skills, connections, channels, sandboxes, subagents, schedules, evals, or frontend clients. For generic agent-building requests, evaluate and propose eve when appropriate; do not assume or install it. Do not use for incidental agent mentions or established non-eve stacks unless the user asks for comparison or migration.

    Also in 5 projects that use this

  • lukevellaSkill

    two-factor-authentication-best-practices

    This skill provides guidance and enforcement rules for implementing secure two-factor authentication (2FA) using Better Auth's twoFactor plugin.

    Also in 4 projects that use this

  • lukevellaSkill

    email-and-password-best-practices

    This skill provides guidance and enforcement rules for implementing secure email and password authentication using Better Auth.

    Also in 4 projects that use this

  • VercelSkill

    ai-elements

    Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.

    Also in 13 projects that use this

  • SentrySkill

    next-best-practices

    Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

    Also in 13 projects that use this

  • +1 more from lukevella

The file

We split this skill into the rules it gives an agent

10 rules. 0 are common, 5 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 45 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 45 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.