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Comet

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rpamis
comet

Comet 工作流入口。当用户明确调用 /comet,或明确要求使用 Comet 但未指定 Native/Classic 时使用;按项目配置加载 Native 或 Classic。

Overview

Publisherrpamis
Repositorycomet
Skill namecomet
Stars
3.1K
Forks
295
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Comet 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/rpamis/comet.git /tmp/comet
mkdir -p .claude/skills
cp -r /tmp/comet/assets/skills-zh/comet .claude/skills/comet
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comet 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 Comet 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 Comet 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.

Comet 入口

/comet 按项目配置选择 Native 或 Classic,再将用户请求交给相应的工作流 Skill 执行。

加载本 Skill 后,立即执行下方步骤。此时用户已选择使用 Comet,应继续处理请求,不再判断是否需要使用 Comet,也不能只给出不执行的理由。

  1. 在当前项目运行 PATH 中安装的 Comet CLI:

    text
    comet workflow resolve . --activate --json

    若项目还没有 .comet/config.yaml,该命令会把全局默认配置保存到项目中,并创建对应的产物目录。此后修改全局默认值,不会覆盖这个项目已经保存的配置。

    若命令返回 command not foundexecutable not foundENOENT,停止并说明 Comet CLI 安装不完整。不得搜索 Skill 文件、扫描平台配置目录或直接调用内部 bundle。

    CLI 已启动但返回非零退出码、配置解析失败、输出不是 JSON 或字段无效时,保留原始错误并停止,不自行选择其他入口。

  2. 解析 JSON。只接受 schema: comet.workflow-resolution.v1,且 skill 必须是下列两个值之一。

  3. 根据返回的 skill,立即使用 Skill 工具加载对应入口。两个入口只能加载一个:

    • /comet-native立即执行: 使用 Skill 工具加载 comet-native 技能。禁止跳过此步骤。
    • /comet-classic立即执行: 使用 Skill 工具加载 comet-classic 技能。禁止跳过此步骤。

    加载后,把用户原始请求完整交给该 Skill 执行。

入口完成工作流选择后,由对应 Skill 确定 change 所在的工作区和当前阶段,再加载任务上下文、个人记忆和项目知识;需要时使用 comet memory context

对应 Skill 必须按需加载上下文:先通过 comet task ... --json 获取 Context Manifest(上下文清单),其中只有摘要、推荐使用的原因和稳定 ID。需要正文、来源或验证方式时,再增加 --expand-context "<id>"

实际采用某条上下文且结果已经明确后,用返回的 application ID 调用 --application "<application-id>" --outcome used-successfully|ignored|overridden|corrected|contributed-to-failure,记录真实使用结果。未使用的内容不能记为使用成功。

不根据任务大小、文件数量、活跃 change 或模型的自行判断更换工作流。Native 与 Classic 分别管理自己的 change、状态和产物。

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 Comet AI skill do?

Comet 工作流入口。当用户明确调用 /comet,或明确要求使用 Comet 但未指定 Native/Classic 时使用;按项目配置加载 Native 或 Classic。

Why use Comet on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rpamis/comet/tree/master/assets/skills-zh/comet. 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 Comet?

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 Comet?

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

Is the Comet AI skill free?

Yes. It is published on GitHub by rpamis 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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