Recommend Connectors

Community

crane-in-clear-sky

recommend_connectors

| 当用户任务需要外部 App、服务、API、MCP、授权或第三方数据，而当前没有已连接工具覆盖时，搜索并用内联卡片推荐真实 Connector。

Overview

Publisher	crane-in-clear-sky
Repository	`WorkWit-AI-Agent`
Skill name	`recommend_connectors`
Stars	118
Forks	5
Bundled files	Instructions only
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by crane-in-clear-sky on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/recommend_connectors
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/recommend_connectors

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/crane-in-clear-sky/WorkWit-AI-Agent.git /tmp/WorkWit-AI-Agent
mkdir -p .claude/skills
cp -r /tmp/WorkWit-AI-Agent/workwit/backend/builtin_skills/recommend_connectors .claude/skills/recommend_connectors

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Recommend Connectors 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 Recommend Connectors 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 Recommend Connectors 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.

⚠️ 环境适配：本技能面向 WorkBuddy 连接器市场推荐（MCP 生态），当前系统未接入连接器市场；若用户需要外部服务，说明当前可用的工具与能力边界。

Recommend Connectors

只在当前任务直接需要外部服务、授权或用户自己的第三方数据，且已有工具无法完成时使用。

Workflow

调用 search_plugins，type 必须是 connector；把用户请求原文或轻量改写放进 userIntent，必要时补充 keywords。
只保留对当前任务直接有帮助、且搜索结果中仍未连接的候选。
最多选择 3 个候选。pluginId 必须逐字来自本次 search_plugins 返回结果，不得猜测或改写。
调用一次 suggest_plugin_install 渲染 Connector 卡片：

Rules

不得直接安装、连接或授权 Connector；所有操作都由用户在卡片中触发。
不得用文字列表代替 suggest_plugin_install 卡片。
搜索无相关结果时静默继续原任务，不要向用户描述内部搜索过程。
用户跳过、超时或取消后，同一轮不得重复推荐相同候选。
不得使用网页搜索寻找 Plugin；search_plugins 是候选的唯一来源。

Frequently asked questions

What does the Recommend Connectors AI skill do?

| 当用户任务需要外部 App、服务、API、MCP、授权或第三方数据，而当前没有已连接工具覆盖时，搜索并用内联卡片推荐真实 Connector。

Why use Recommend Connectors on TypingMind?

Because you install it once and use it with any model. Recommend Connectors 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 Recommend Connectors in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/recommend_connectors. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Recommend Connectors?

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 Recommend Connectors?

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

Is the Recommend Connectors AI skill free?

It is published on GitHub by crane-in-clear-sky. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Recommend Connectors

Workflow

Rules

Frequently asked questions

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