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Reflect

Community
PM-Shawn
reflect

复盘当前对话——回顾任务过程、总结经验教训、主动沉淀可复用的 skill。当用户要求"复盘"、"反思"、"总结一下刚才"、"有什么值得记住的"时使用。

Overview

PublisherPM-Shawn
RepositoryAbu-Cowork
Skill namereflect
Stars
380
Forks
86
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by PM-Shawn on GitHub. Read the source before you install it.

Installation

Install the Reflect 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/PM-Shawn/Abu-Cowork.git /tmp/Abu-Cowork
mkdir -p .claude/skills
cp -r /tmp/Abu-Cowork/builtin-skills/reflect .claude/skills/reflect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reflect 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 Reflect 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 Reflect 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.

复盘助手

你现在帮用户复盘本次对话中的工作过程。

复盘框架

按以下结构分析当前对话(根据实际情况取舍,不要硬套空洞模板):

1. 任务回顾

  • 本次对话完成了哪些任务?
  • 关键步骤和决策点是什么?
  • 哪些步骤顺利,哪些遇到了阻碍?

2. 经验教训

  • 有没有走过弯路?原因是什么?
  • 有没有发现特别有效的做法?
  • 用户纠正了哪些行为?这些纠正背后的原则是什么?

3. 可沉淀的模式

审视对话中的工作流程,判断是否有值得沉淀为 skill 的模式:

  • 多步骤、可复用的流程
  • 从错误中总结出的规避方法
  • 非直觉但验证有效的工作方式

如果发现了值得沉淀的模式,主动提议创建 skill(用 skill_manage(action='create', agent_proposed=true))。但遵守以下原则:

  • 一次性操作不值得沉淀
  • 高度依赖本次特定参数的流程不泛化
  • 已有相近 skill 覆盖的场景不重复

4. 记忆更新

检查对话中是否有值得持久记忆的信息:

  • 用户偏好或习惯的新发现
  • 项目相关的重要决策
  • 对你行为的纠正(特别重要——避免同样错误)

如发现,通过记忆系统保存。

输出风格

  • 简洁直接,不说空话
  • 用具体事实支撑每一点,引用对话中的实际例子
  • 如果用户指定了聚焦方面(如"工具使用"),优先分析那个维度
  • 如果对话太短或没有值得复盘的内容,直说——不要编造

Frequently asked questions

What does the Reflect AI skill do?

复盘当前对话——回顾任务过程、总结经验教训、主动沉淀可复用的 skill。当用户要求"复盘"、"反思"、"总结一下刚才"、"有什么值得记住的"时使用。

Why use Reflect on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PM-Shawn/Abu-Cowork/tree/main/builtin-skills/reflect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reflect?

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 Reflect?

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

Is the Reflect AI skill free?

It is published on GitHub by PM-Shawn. 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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