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
92%
Does it follow best practices?
Impact
76%
2.92xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Quality
Discovery
100%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 hits all the marks. It provides specific capabilities, comprehensive trigger terms covering both natural language and technical terms, explicit 'Use when' guidance with numbered scenarios, and a dedicated 'Triggers on' section. The description is well-structured, concise, and clearly distinguishable from other skills.
| Dimension | Reasoning | Score |
|---|---|---|
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 users would say, including both formal names ('AI SDK', 'Vercel AI SDK') and natural phrases ('add AI to my app', 'build an agent'), plus specific function names developers would reference ('generateText', 'streamText', 'useChat', 'tool calling', 'structured output'). | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche around the Vercel AI SDK specifically. The specific function names (generateText, streamText, useChat) and SDK-specific terminology make it very unlikely to conflict with generic coding or AI skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%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 and the well-organized progressive disclosure through reference files. Minor verbosity in the cautionary sections and some over-explanation slightly reduce token efficiency, but overall the skill is effective and well-designed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient but has some verbosity issues. The 'Critical: Do Not Trust Internal Knowledge' section is somewhat heavy-handed, and the repeated emphasis on not trusting memory could be tightened. The curl command for fetching model IDs is appropriately detailed, but some instructions like 'Do not install other packages at this stage' over-explain. | 2 / 3 |
Actionability | The skill provides concrete, executable commands throughout: specific grep patterns for searching docs, a curl command with jq for fetching model IDs, clear package installation instructions, and specific file paths to check. The workflow for finding documentation and resolving type errors is directly actionable. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced with explicit validation checkpoints. The 'When Typecheck Fails' section has a clear escalation path (check common-errors.md → search local source → search online docs). The prerequisites establish a clear starting point, and the agent building section includes framework detection as a first step. The instruction to run typecheck after changes provides a feedback loop. | 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. The References section at the bottom provides a clean navigation index. Content is appropriately split between the main skill and reference files. | 3 / 3 |
Total | 11 / 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
Table of Contents
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