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docs: add agent-skills guide and SEO frontmatter (#464)
Add a new getting-started/agent-skills.md guide explaining how to use @tanstack/intent install to wire the bundled Agent Skills from @tanstack/ai and @tanstack/ai-code-mode into Claude Code, Cursor, GitHub Copilot, and other AI coding assistants, register it in docs/config.json, and add a disambiguation callout on code-mode-with-skills.md so readers searching for "skills" land on the correct page. Add description and keywords frontmatter to all 64 hand-authored docs for search-engine discoverability. Auto-generated TypeDoc reference pages under docs/reference/ are left untouched since they would be overwritten on the next regeneration. A follow-up PR on tanstack.com will wire these fields into the document head.
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‎docs/adapters/anthropic.md‎

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title: Anthropic
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id: anthropic-adapter
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description: "Use Anthropic Claude models with TanStack AI — Claude Sonnet 4.5, Claude Opus, and more via the @tanstack/ai-anthropic adapter."
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keywords:
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- tanstack ai
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- anthropic
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- claude
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- claude sonnet 4.5
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- claude opus
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- adapter
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- llm
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The Anthropic adapter provides access to Claude models, including Claude Sonnet 4.5, Claude Opus 4.5, and more.

‎docs/adapters/elevenlabs.md‎

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title: ElevenLabs
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id: elevenlabs-adapter
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description: "Build realtime voice-to-voice conversational AI with ElevenLabs agents in TanStack AI via the @tanstack/ai-elevenlabs adapter."
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keywords:
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- tanstack ai
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- elevenlabs
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- realtime voice ai
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- conversational ai
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- voice chat
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- voice agents
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- adapter
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The ElevenLabs adapter provides realtime conversational voice AI for TanStack AI. Unlike text-focused adapters, the ElevenLabs adapter is **voice-focused** -- it integrates with TanStack AI's realtime system to enable voice-to-voice conversations. It does not support `chat()`, `embedding()`, or `summarize()`.

‎docs/adapters/fal.md‎

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---
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title: fal.ai
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id: fal-adapter
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description: "Generate images and videos with 600+ models on fal.ai using TanStack AI — Nano Banana Pro, FLUX, and more via the @tanstack/ai-fal adapter."
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keywords:
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- tanstack ai
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- fal.ai
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- fal
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- image generation
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- video generation
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- flux
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- nano banana
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- adapter
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The fal.ai adapter provides access to 600+ models on the fal.ai platform for image generation and video generation. Unlike text-focused adapters, the fal adapter is **media-focused** — it supports `generateImage()` and `generateVideo()` but does not support `chat()` or tools. Audio and speech support are coming soon.

‎docs/adapters/gemini.md‎

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title: Google Gemini
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id: gemini-adapter
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description: "Use Google Gemini with TanStack AI — text, image generation via Imagen and Gemini native (NanoBanana), and experimental TTS via @tanstack/ai-gemini."
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keywords:
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- tanstack ai
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- gemini
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- google gemini
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- imagen
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- nano banana
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- image generation
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- adapter
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- google ai
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The Google Gemini adapter provides access to Google's Gemini models, including text generation, image generation with both Imagen and Gemini native image models (NanoBanana), and experimental text-to-speech.

‎docs/adapters/grok.md‎

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title: Grok (xAI)
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id: grok-adapter
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description: "Use xAI Grok models with TanStack AI — Grok 4.1, Grok 4, Grok 3, and Grok 2 Image generation via @tanstack/ai-grok."
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keywords:
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- tanstack ai
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- grok
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- xai
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- grok 4
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- grok 4.1
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- image generation
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- adapter
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The Grok adapter provides access to xAI's Grok models, including Grok 4.1, Grok 4, Grok 3, and image generation with Grok 2 Image.

‎docs/adapters/groq.md‎

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title: Groq
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id: groq-adapter
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description: "Use Groq's fast inference API with TanStack AI for low-latency LLM responses — Llama and other open-weight models via @tanstack/ai-groq."
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keywords:
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- tanstack ai
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- groq
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- fast inference
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- llama
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- low latency
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- adapter
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- llm
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The Groq adapter provides access to Groq's fast inference API, featuring the world's fastest LLM inference.

‎docs/adapters/ollama.md‎

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title: Ollama
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id: ollama-adapter
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description: "Run local LLMs with Ollama in TanStack AI for private, no-cost AI on your own hardware via the @tanstack/ai-ollama adapter."
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keywords:
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- tanstack ai
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- ollama
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- local llm
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- self-hosted
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- privacy
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- llama
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- offline ai
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- adapter
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The Ollama adapter provides access to local models running via Ollama, allowing you to run AI models on your own infrastructure with full privacy and no API costs.

‎docs/adapters/openai.md‎

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title: OpenAI
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id: openai-adapter
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description: "Use OpenAI models with TanStack AI — GPT-4o, GPT-5, DALL-E image generation, TTS, and Whisper transcription via @tanstack/ai-openai."
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keywords:
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- tanstack ai
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- openai
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- gpt-4o
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- gpt-5
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- dall-e
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- whisper
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- openai tts
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- adapter
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- chatgpt
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The OpenAI adapter provides access to OpenAI's models, including GPT-4o, GPT-5, image generation (DALL-E), text-to-speech (TTS), and audio transcription (Whisper).

‎docs/adapters/openrouter.md‎

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title: OpenRouter Adapter
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id: openrouter-adapter
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description: "Access 300+ LLMs from OpenAI, Anthropic, Google, Meta, Mistral, and more through a single API with OpenRouter in TanStack AI."
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keywords:
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- tanstack ai
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- openrouter
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- multi-provider
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- unified api
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- llm gateway
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- 300 models
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OpenRouter is TanStack AI's first official AI partner and the recommended starting point for most projects. It provides access to 300+ models from OpenAI, Anthropic, Google, Meta, Mistral, and many more — all through a single API key and unified interface.

‎docs/advanced/extend-adapter.md‎

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title: Extend Adapter
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id: extend-adapter
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description: "Extend TanStack AI adapter factories with custom model IDs and fine-tuned models while keeping full type safety for input modalities and provider options."
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keywords:
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- tanstack ai
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- extendAdapter
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- custom models
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- fine-tuned models
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- createModel
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- type safety
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- adapter factory
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# Extending Adapters with Custom Models

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