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ai-sdk

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".

90

2.92x
Quality

92%

Does it follow best practices?

Impact

76%

2.92x

Average score across 3 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured skill that provides actionable, concrete guidance for working with the AI SDK. Its strongest aspects are the clear workflow sequences with validation steps (typecheck after changes, check common errors before deep-diving), specific executable commands, and good progressive disclosure to reference files. The main weakness is slight verbosity in the introductory sections and the somewhat heavy-handed framing of 'everything you know is wrong,' though this may be justified given the rapidly evolving nature of the SDK.

DimensionReasoningScore

Conciseness

The content is mostly efficient but has some verbosity. The 'Critical: Do Not Trust Internal Knowledge' section is somewhat heavy-handed, and the explanation about not installing other packages in Prerequisites could be tighter. However, most instructions are direct and actionable without over-explaining concepts Claude already knows.

2 / 3

Actionability

The skill provides concrete, executable commands throughout: specific grep patterns for searching docs, a complete curl command for fetching model IDs with jq filtering, specific file paths to check, and clear installation commands. The guidance is specific and copy-paste ready.

3 / 3

Workflow Clarity

Multi-step processes are clearly sequenced with explicit validation checkpoints. The typecheck failure workflow has a clear sequence (check common-errors.md first → search local source → search online). The agent building workflow includes framework detection, documentation search, and pattern following. The prerequisite check → install → search → verify flow is well-defined with feedback loops.

3 / 3

Progressive Disclosure

The skill provides a clear overview with well-signaled one-level-deep references to common-errors.md, ai-gateway.md, type-safe-agents.md, and devtools.md. Content is appropriately split between the main skill file and reference documents, with each reference clearly labeled with its purpose.

3 / 3

Total

11

/

12

Passed

Description

100%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is an excellent skill description that covers all dimensions well. It provides specific capabilities, comprehensive trigger terms that developers would naturally use, explicit 'Use when' guidance with numbered scenarios, and a dedicated 'Triggers on' section. The description is well-structured, uses third person voice appropriately, and is clearly distinguishable from other skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and capabilities: answering questions about AI SDK, building AI-powered features, and enumerates specific functions (generateText, streamText, ToolLoopAgent, embed), specific use cases (agents, chatbots, RAG systems), and specific React hooks (useChat, useCompletion).

3 / 3

Completeness

Clearly answers both 'what' (answer questions about AI SDK, help build AI-powered features) and 'when' with explicit numbered trigger scenarios and a dedicated 'Triggers on' clause listing specific keywords.

3 / 3

Trigger Term Quality

Excellent coverage of natural terms developers would use: 'AI SDK', 'Vercel AI SDK', 'generateText', 'streamText', 'add AI to my app', 'build an agent', 'tool calling', 'structured output', 'useChat'. These are highly natural phrases a developer would say when needing this skill.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche around the AI SDK specifically. The mention of specific function names (generateText, streamText), specific hooks (useChat, useCompletion), and the 'Vercel AI SDK' branding make it very unlikely to conflict with generic coding or AI skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
Kiz8-Team/open-agents
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.