Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/tanstack/ai/ai-corenpx skills add TanStack/ai --skill ai-coregit clone --depth 1 https://github.com/TanStack/aiWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00108 | $0.01742 |
| Opus 5 | $0.00054 | $0.00871 |
| Sonnet 5 | $0.00022 | $0.00348 |
| Haiku 4.5 | $0.00011 | $0.00174 |
Grade A, and why
ai-core scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TanStack AI — Core Concepts
TanStack AI is a type-safe, provider-agnostic AI SDK. Server-side functions
live in @tanstack/ai and provider adapter packages. Client-side hooks live
in framework packages (@tanstack/ai-react, @tanstack/ai-solid, etc.).
Always import from the framework package on the client — never from
@tanstack/ai-client directly (unless vanilla JS).
Sub-Skills
| Need to... | Read |
|---|---|
| Build a chat UI with streaming | ai-core/chat-experience/SKILL.md |
| Survive a browser reload (no extra package) | ai-core/client-persistence/SKILL.md |
| Add tool calling (server, client, or both) | ai-core/tool-calling/SKILL.md |
| Generate images, video, speech, or transcriptions | ai-core/media-generation/SKILL.md |
| Get typed JSON responses from the LLM | ai-core/structured-outputs/SKILL.md |
| Choose and configure a provider adapter | ai-core/adapter-configuration/SKILL.md |
| Implement AG-UI streaming protocol server-side | ai-core/ag-ui-protocol/SKILL.md |
| Add analytics, logging, or lifecycle hooks | ai-core/middleware/SKILL.md |
| Coordinate multi-instance work with locks | ai-core/locks/SKILL.md |
| Connect to a non-TanStack-AI backend | ai-core/custom-backend-integration/SKILL.md |
| Turn on/off debug logging, pipe into pino/winston | ai-core/debug-logging/SKILL.md |
| Persist chats server-side (history, runs) | See @tanstack/ai-persistence package skills |
| Set up Code Mode (LLM code execution) | See @tanstack/ai-code-mode package skills |
| Give the model a catalog of SKILL.md skills | See @tanstack/ai-skills package skills |
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- adapter-configuration/references/anthropic-adapter.md 4.5 KB
- adapter-configuration/references/byteplus-adapter.md 6.9 KB
- adapter-configuration/references/gemini-adapter.md 3.4 KB
- adapter-configuration/references/grok-adapter.md 2.3 KB
- adapter-configuration/references/groq-adapter.md 3.3 KB
- adapter-configuration/references/ollama-adapter.md 2.7 KB
- adapter-configuration/references/openai-adapter.md 3.3 KB
- adapter-configuration/references/openrouter-adapter.md 2.7 KB
- adapter-configuration/SKILL.md 21 KB
- ag-ui-protocol/SKILL.md 14 KB
- chat-experience/SKILL.md 24 KB
- client-persistence/SKILL.md 11 KB
- custom-backend-integration/SKILL.md 13 KB
- debug-logging/SKILL.md 8.4 KB
- locks/SKILL.md 4.7 KB
- media-generation/SKILL.md 44 KB
- middleware/SKILL.md 35 KB
- structured-outputs/SKILL.md 27 KB
- tool-calling/SKILL.md 26 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 130 lines · 108 tokens per session scan A d69011d75ea8
ai-core is a skill published in the GitHub repository TanStack/ai (3,045 stars, last pushed 2d ago), licensed MIT. It adds 108 tokens to every session and 1,742 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
keybindings-help
Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify /.claude/keybindings.json. Examples: "rebind ctrl+s", "add a chord shortcut", "change the submit key", "customize keybindings".
options
Present multiple design options as a vertical stack of anchored turns.
tmux
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
summarize
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
github
Interact with GitHub using the gh CLI. Use gh issue, gh pr, gh run, and gh api for issues, PRs, CI runs, and advanced queries.
workflow-authoring
Reference for writing a Workflow tool script (script API and gotchas, resume, quality patterns, worked examples). Load before authoring a script for a workflow the user already opted into; it does not itself authorize running one.