This skill should be used when working with Vercel AI SDK, AI Gateway, streamText, generateText, generateObject, streamObject, tool calling, or AI SDK providers. Also relevant for "ai-sdk", "@ai-sdk/*" packages, or questions about AI SDK patterns, configuration, and best practices.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
This skill provides tools for accessing Vercel AI SDK documentation and AI Gateway model information. Use the bundled scripts to discover available documentation pages and fetch their full content.
The Vercel AI SDK documentation lives at ai-sdk.dev and covers:
ai package) - generating text, streaming, tool calling, embeddingsThe documentation is large (600+ pages) and frequently updated. Rather than relying on stale knowledge, always use the scripts to fetch current documentation.
All scripts are located in ${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/.
Discover available documentation pages.
Usage:
# List all pages grouped by category
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/list-docs.sh
# List pages in a specific category
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/list-docs.sh docs
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/list-docs.sh cookbook
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/list-docs.sh providers
Categories:
docs - Core documentation (concepts, guides, API reference)cookbook - Code examples by framework (Next.js, Node.js, etc.)providers - Provider-specific setup and configurationelements - UI component library documentationtools-registry - Third-party tool integrationsWhen to use: Run this first to discover what pages exist. Do not assume documentation structure.
Fetch the full markdown content of a specific documentation page.
Usage:
# Fetch a documentation page
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/fetch-doc.sh /docs/ai-sdk-core/generating-text
# Fetch a cookbook example
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/fetch-doc.sh /cookbook/next/generating-structured-data
# Fetch provider documentation
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/fetch-doc.sh /providers/ai-sdk-providers/openai
Input: A documentation path (e.g., /docs/ai-sdk-core/tools-and-tool-calling)
Output: Full markdown content of the page
When to use: After identifying relevant pages with list-docs.sh, fetch the ones that look most relevant to the task.
Query the AI Gateway models API for available models and their capabilities.
Usage:
# List all models with their provider
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/query-models.sh list
# List all providers
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/query-models.sh providers
# List all capability tags
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/query-models.sh tags
# List models from a specific provider
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/query-models.sh --provider anthropic
# List models with a specific capability
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/query-models.sh --tag vision
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/query-models.sh --tag tool-use
# Get full details for a specific model
${CLAUDE_PLUGIN_ROOT}/skills/ai-sdk-docs/scripts/query-models.sh --details openai/gpt-4o
Model details include: context window, max tokens, pricing, capability tags (vision, tool-use, reasoning, etc.)
When to use: When needing to know what models are available, compare model capabilities, or check pricing/context limits.
list-docs.sh to see available pagesfetch-doc.sh to get full content of relevant pageslist-docs.sh output, it doesn't exist.The AI Gateway is Vercel's unified API for accessing multiple AI providers. Key points:
query-models.sh to see all available modelsprovider/model-name (e.g., anthropic/claude-sonnet-4)/providers/还没有评价。欢迎分享你的使用感受。
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This skill should be used when the user asks to "audit claude permissions", "audit permissions", "review local claude settings", "promote permissions to global", "clean up claude settings", "find permission patterns", or wants to identify project-local Claude Code permissions that should be added to global configuration.
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This skill should be used when the user asks for "deep research", "research team", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across multiple sources with verification. It spawns a coordinated team of researcher agents across multiple rounds, with the lead triaging findings and creating targeted follow-up tasks. Scales from Focused (2 researchers, 1-2 rounds) to Comprehensive (4 researchers, 3-4 rounds with cross-verification). Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.
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Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
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Workaround for Claude Code filtering BMP PUA Unicode (U+E000-U+F8FF). Supplementary PUA Nerd Font icons like (U+F0000+, e.g. nf-md-github, nf-md-kubernetes, nf-md-battery) can be written directly. BMP PUA icons (Powerline, Font Awesome, Devicons) require placeholder syntax like {{ U+E0A0 }} or {{ nf-fa-star }} (without spaces), which hooks auto-convert. Invoke when reading or writing Starship configs, tmux themes, shell prompts, or statuslines.
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Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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