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Choose Ecosystem Integrations

OrganizationPopular
TanStack
choose-ecosystem-integrations

Map tanstack ecosystem partner metadata to installable add-on ids using tanstack ecosystem --json, tanstack create --list-add-ons --json, and tanstack create --addon-details --json. Covers exclusive categories, provider options, and router-only compatibility constraints.

Overview

PublisherTanStack
Repositorycli
Skill namechoose-ecosystem-integrations
Stars
1.3K
Forks
184
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TanStack on GitHub. Read the source before you install it.

Installation

Install the Choose Ecosystem Integrations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TanStack/cli.git /tmp/cli
mkdir -p .claude/skills
cp -r /tmp/cli/packages/cli/skills/choose-ecosystem-integrations .claude/skills/choose-ecosystem-integrations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Choose Ecosystem Integrations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Choose Ecosystem Integrations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Choose Ecosystem Integrations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

This skill requires familiarity with scaffold and discovery workflows. Read create-app-scaffold and query-docs-library-metadata first.

Choose Ecosystem Integrations

Use this skill at the seam between user requirements and valid CLI integration choices.

Setup

bash
npx @tanstack/cli ecosystem --json
npx @tanstack/cli create --list-add-ons --json

Core Patterns

Map partner intent to add-on ids explicitly

bash
npx @tanstack/cli ecosystem --category database --json
npx @tanstack/cli create --list-add-ons --json

Inspect option surfaces before final provider choice

bash
npx @tanstack/cli create --addon-details drizzle --json
npx @tanstack/cli create --addon-details prisma --json

Enforce one choice per exclusive category

bash
npx @tanstack/cli create my-app \
  --framework react \
  --add-ons clerk,drizzle \
  --deployment cloudflare \
  -y

Common Mistakes

HIGH Treat ecosystem partner id as add-on id

Wrong:

bash
npx @tanstack/cli add <partner-id-from-ecosystem>

Correct:

bash
npx @tanstack/cli ecosystem --json
npx @tanstack/cli create --list-add-ons --json
npx @tanstack/cli add <mapped-addon-id>

ecosystem includes partners that are not directly installable add-ons, so direct reuse of partner ids can fail late in add/apply flows.

Source: tanstack ecosystem --json output + tanstack create --list-add-ons --json output

HIGH Skip addon-details before choosing provider

Wrong:

bash
npx @tanstack/cli create my-app --add-ons prisma -y

Correct:

bash
npx @tanstack/cli create --addon-details prisma --json
npx @tanstack/cli create my-app --add-ons prisma -y

Optionized providers can default silently, producing the wrong data-layer stack for the requested integration.

Source: tanstack create --addon-details prisma --json

HIGH Select multiple exclusive integrations together

Wrong:

bash
npx @tanstack/cli create my-app --add-ons clerk,workos -y

Correct:

bash
npx @tanstack/cli create my-app --add-ons clerk -y

Exclusive categories permit only one active choice, so multi-select commands can drop or replace intended providers.

Source: packages/create/src/frameworks///info.json

CRITICAL Assume router-only supports deployment integration

Wrong:

bash
npx @tanstack/cli create my-app --router-only --deployment cloudflare -y

Correct:

bash
npx @tanstack/cli create my-app --router-only -y

Router-only mode ignores deployment integration, so the command succeeds without applying the intended ecosystem target.

Source: packages/cli/src/command-line.ts:349

HIGH Tension: Compatibility mode vs explicit intent

This domain's patterns conflict with create-app-scaffold. Integration planning tends to over-assume command intent is preserved, but compatibility mode silently strips integration flags.

See also: create-app-scaffold/SKILL.md § Common Mistakes

HIGH Tension: Single-command convenience vs integration precision

This domain's patterns conflict with query-docs-library-metadata. Integration choices tend to drift when discovery metadata is skipped in favor of one-shot scaffold commands.

See also: query-docs-library-metadata/SKILL.md § Common Mistakes

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Choose Ecosystem Integrations AI skill do?

Map tanstack ecosystem partner metadata to installable add-on ids using tanstack ecosystem --json, tanstack create --list-add-ons --json, and tanstack create --addon-details --json. Covers exclusive categories, provider options, and router-only compatibility constraints.

Why use Choose Ecosystem Integrations on TypingMind?

Because you install it once and use it with any model. Choose Ecosystem Integrations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Choose Ecosystem Integrations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TanStack/cli/tree/main/packages/cli/skills/choose-ecosystem-integrations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Choose Ecosystem Integrations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Choose Ecosystem Integrations?

As many as you like. As long as a model supports skills, you can use Choose Ecosystem Integrations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Choose Ecosystem Integrations AI skill free?

Yes. It is published on GitHub by TanStack under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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