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Create Todo

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openakita
create-todo

MUST CALL FIRST for multi-step tasks! If user request needs 2+ tool calls (like 'open + search + screenshot'), call create_todo BEFORE any other tool.

Overview

Publisheropenakita
Repositoryopenakita
Skill namecreate-todo
Stars
2K
Forks
284
Bundled files
1
LicenseAGPL-3.0
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Create Todo 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.
    https://github.com/openakita/openakita/tree/main/skills/system/create-todo
  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/openakita/openakita.git /tmp/openakita
mkdir -p .claude/skills
cp -r /tmp/openakita/skills/system/create-todo .claude/skills/create-todo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Todo 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 Create Todo 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 Create Todo 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.

Create Todo

创建任务执行计划。多步骤任务必须先创建计划再执行。

When to Use

  • 任务需要超过 2 步完成时
  • 用户请求中有"然后"、"接着"、"之后"等词
  • 涉及多个工具协作

Workflow

  1. create-todo → 2. 执行步骤 → 3. update-todo-step → 4. ... → 5. complete-todo

Parameters

参数类型必填说明
task_summarystring是任务的一句话总结
stepsarray是步骤列表

Step Item

字段类型必填说明
idstring是步骤 ID(如 step_1)
descriptionstring是步骤描述
toolstring否预计使用的工具
skillsarray否关联的 skill 名称列表(可选,用于追踪)
depends_onarray否依赖的步骤 ID

Examples

打开百度搜索天气并截图发给用户:

json
{
  "task_summary": "打开百度搜索天气并截图发送",
  "steps": [
    {"id": "step_1", "description": "打开百度", "tool": "browser_navigate", "skills": ["browser-navigate"]},
    {"id": "step_2", "description": "输入搜索关键词", "tool": "browser_type", "skills": ["browser-type"], "depends_on": ["step_1"]},
    {"id": "step_3", "description": "截图", "tool": "browser_screenshot", "skills": ["browser-screenshot"], "depends_on": ["step_2"]},
    {"id": "step_4", "description": "发送截图", "tool": "deliver_artifacts", "skills": ["deliver-artifacts"], "depends_on": ["step_3"]}
  ]
}

Related Skills

  • update-todo-step: 更新步骤状态
  • get-todo-status: 查看计划状态
  • complete-todo: 完成计划

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 Create Todo AI skill do?

MUST CALL FIRST for multi-step tasks! If user request needs 2+ tool calls (like 'open + search + screenshot'), call create_todo BEFORE any other tool.

Why use Create Todo on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openakita/openakita/tree/main/skills/system/create-todo. 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 Create Todo?

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 Create Todo?

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

Is the Create Todo AI skill free?

Yes. It is published on GitHub by openakita under the AGPL-3.0 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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