Teamai Share Learnings

Q: Why use Teamai Share Learnings on TypingMind?

Because you install it once and use it with any model. Teamai Share Learnings 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.

Q: How do I install Teamai Share Learnings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Tencent/teamai-cli/tree/main/skills/teamai-share-learnings. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Teamai Share Learnings?

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.

Q: How many AI models can I use with Teamai Share Learnings?

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

Q: Is the Teamai Share Learnings AI skill free?

It is published on GitHub by Tencent. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

OrganizationPopular

Tencent

teamai-share-learnings

Contribute — 分享 Session 经验到团队知识库

Overview

Publisher	Tencent
Repository	`teamai-cli`
Skill name	`teamai-share-learnings`
Stars	4.7K
Forks	334
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 Tencent on GitHub. Read the source before you install it.

Installation

Install the Teamai Share Learnings 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.
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.

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/Tencent/teamai-cli.git /tmp/teamai-cli
mkdir -p .claude/skills
cp -r /tmp/teamai-cli/skills/teamai-share-learnings .claude/skills/teamai-share-learnings

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

Use it in TypingMind

Enable Teamai Share Learnings 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 Teamai Share Learnings 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 Teamai Share Learnings 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.

Contribute — 分享 Session 经验到团队知识库

总结本次 AI 编码 session 中学到的经验，推送到团队知识库。

【重要】所有生成的文档必须使用中文撰写。

When to Use

When teamai suggests this session has valuable content worth sharing
When you've solved a tricky problem and want to document the solution
When you've discovered a useful workflow or pattern
After a long session with diverse tool usage

How It Works

总结：回顾本次 session 的工具使用、解决的问题、发现的模式
生成文档：用中文撰写 Markdown 文档，涵盖：
- 任务/问题是什么
- 关键决策及原因
- 解决方案、变通方法或发现的模式
- 哪些工具/skill 特别有用
- 踩坑点和注意事项
保存临时文件：写入临时文件
推送到团队：运行 teamai contribute --file <path> --title "<title>"

Document Template

【必须】文档必须包含 YAML frontmatter，用于搜索索引和知识发现。

markdown
---
title: "<简短标题，描述核心问题或发现>"
author: <username>
date: <YYYY-MM-DD>
tags: [tag1, tag2, tag3]
---

## 背景
在做什么？遇到了什么问题？

## 解决方案
怎么解决的？关键步骤是什么？

## 经验总结
- 经验 1
- 经验 2

## 相关 Skills
- skill-name-1
- skill-name-2

Frontmatter 字段说明

字段	必须	说明	示例
title	✅	简短标题（<60 字符）	"K8s Pod OOM 排查指南"
author	✅	贡献者用户名	jeffyxu
date	✅	日期 YYYY-MM-DD	2026-03-28
tags	✅	2-5 个关键标签	[k8s, oom, troubleshooting]

Tags 选择建议

从以下类别中选择 2-5 个：

技术栈: python, typescript, go, k8s, docker, sglang, cuda
问题类型: troubleshooting, performance, deployment, config, api
模式: workflow, pattern, tool-usage, best-practice
场景: debugging, testing, monitoring, security

Example

bash
# AI 生成总结文档到 /tmp/session-summary.md 后
teamai contribute --file /tmp/session-summary.md --title "K8s pod 启动超时排查"

Important

Run this as a sub-agent (Agent tool) to avoid polluting the main session's context
The document is pushed to the team repo's teamai-learnings branch, under learnings/, with no pull request
Team members will see it on their next teamai pull
Keep summaries concise and actionable — this is a knowledge base, not a diary

Frequently asked questions

What does the Teamai Share Learnings AI skill do?

Contribute — 分享 Session 经验到团队知识库

Why use Teamai Share Learnings on TypingMind?

Because you install it once and use it with any model. Teamai Share Learnings 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 Teamai Share Learnings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Tencent/teamai-cli/tree/main/skills/teamai-share-learnings. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Teamai Share Learnings?

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 Teamai Share Learnings?

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

Is the Teamai Share Learnings AI skill free?

It is published on GitHub by Tencent. 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.

View all

Improve Codebase Architecture

mattpocock

CommunityPopular

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Prototype

Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

Research

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading…

Resolving Merge Conflicts

mattpocock

CommunityPopular

Use when you need to resolve an in-progress git merge/rebase conflict.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Contribute — 分享 Session 经验到团队知识库

When to Use

How It Works

Document Template

Frontmatter 字段说明

Tags 选择建议

Example

Important

Frequently asked questions

Related AI Skills

Set up your own AI workspace now