teamai-share-learnings

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Contribute — 分享 Session 经验到团队知识库

Changelog: Source: GitHub https://github.com/Tencent/teamai-cli

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SKILL.md

---
name: teamai-share-learnings
description: "Contribute — 分享 Session 经验到团队知识库"
---

# 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

1. **总结**：回顾本次 session 的工具使用、解决的问题、发现的模式
2. **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
3. **保存临时文件**：写入临时文件
4. **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 directly to master in the team repo's `learnings/` directory
- Team members will see it on their next `teamai pull`
- Keep summaries concise and actionable — this is a knowledge base, not a diary

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