Make Plan

CommunityPopular

mateaix

make_plan

当任务需要多步拆解或不确定执行路径时，向更强 Agent 请求一份分步可落地的执行计划，由当前 Agent 自己执行。

Overview

Publisher	mateaix
Repository	`mateclaw`
Skill name	`make_plan`
Stars	1.1K
Forks	337
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 mateaix on GitHub. Read the source before you install it.

Installation

Install the Make Plan 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.
https://github.com/mateaix/mateclaw/tree/dev/mateclaw-server/src/main/resources/skills/make_plan
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/mateaix/mateclaw/tree/dev/mateclaw-server/src/main/resources/skills/make_plan

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/mateaix/mateclaw.git /tmp/mateclaw
mkdir -p .claude/skills
cp -r /tmp/mateclaw/mateclaw-server/src/main/resources/skills/make_plan .claude/skills/make_plan

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

Use it in TypingMind

Enable Make Plan 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 Make Plan 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 Make Plan 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.

制定计划

本技能的目标：向更强 Agent 要计划，自己来执行。不是把任务外包出去，而是获得一份可落地的执行路径。

何时使用

应该使用

任务需要多步拆解，步骤之间有依赖关系
不确定执行顺序或关键检查点
涉及多个模块、文件、系统或角色
用户明确要求先给出计划
想在动手前获得更完整、更稳妥的执行路径

不应使用

任务很简单，一步就能完成
真正缺的是一个小事实，而不是计划
连任务目标都没理解清楚（先理解目标，再要计划）
其实是想让对方直接替你执行任务（用 chat_with_agent）

工作流程

第一步：查询可用 Agent


listAvailableAgents()

根据描述选择能力最强或最匹配任务领域的 Agent（没有合适的就用 default）。

第二步：请求计划


delegateToAgent(
  agentName="strong-agent",
  task="[来自 Agent my-agent 的请求] 请为以下任务制定执行计划。你不需要执行任务，只需要输出计划。

任务：
<描述要做什么>

目标：
<最终想达到什么结果>

约束：
- <限制条件1>
- <限制条件2>

计划要求：
1. 拆成明确、可执行的步骤
2. 标明推荐顺序
3. 指出关键依赖和检查点
4. 包含验证方式

输出格式：请输出 4-8 个编号步骤，每步具体说明。"
)

关键原则：

明确说明"只要计划，不要代执行"
步骤必须具体，不接受"先分析，再实现"这类泛泛建议

第三步：保存计划文件（推荐）

将收到的计划写入工作区，方便后续追踪和恢复：


skillFileTool(
  action="write",
  path="plans/{YYYY-MM-DD}-{task-slug}.md",
  content="# 计划：{任务标题}\n\n{计划正文}"
)

文件名规范：plans/2026-04-23-migrate-database.md

好处：

执行中断后可恢复进度
用户可以审阅和修改计划
多步任务完成后作为执行记录

第四步：提炼并执行

收到计划后：

提炼出真正可执行的步骤
按照当前环境做必要微调
由当前 Agent 自己执行这些步骤

收到计划不等于任务完成，计划是输入，执行才是输出。

第五步（如需细化）：追问

如果计划某步骤不够具体，再次调用：


delegateToAgent(
  agentName="strong-agent",
  task="[来自 Agent my-agent 的请求] 请基于刚才的计划，细化第 3 步。仍然只需要补充计划细节，不需要代执行。

刚才的计划摘要：
<粘贴上次回复的关键内容>

需要细化的问题：
<具体的疑问>"
)

计划质量标准

合格的计划必须满足：

有明确步骤，不是泛泛建议
步骤顺序清楚
每步是可执行的具体动作
关键依赖被点明
有必要的验证点

若收到的是空泛建议，继续追问细化，直到满足以上标准。

护栏

不要把"请帮我规划"说成"请你直接做完"
不要请求对方执行代码、命令或变更
拿到计划后仍要结合当前环境判断，不要照单全收
目标不清楚时，先弄清楚目标，再要计划

Frequently asked questions

What does the Make Plan AI skill do?

当任务需要多步拆解或不确定执行路径时，向更强 Agent 请求一份分步可落地的执行计划，由当前 Agent 自己执行。

Why use Make Plan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mateaix/mateclaw/tree/dev/mateclaw-server/src/main/resources/skills/make_plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Make Plan?

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 Make Plan?

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

Is the Make Plan AI skill free?

Yes. It is published on GitHub by mateaix under the Apache-2.0 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.

View all

Memory Reflect

vectorize-io

OrganizationPopular

Answer questions about history, habits and past decisions by reasoning over Hindsight memory. Use when asked what was decided about something, how something is usually done, what changed over time, or…

To Questionnaire

Turn a decision you can't fully answer into a questionnaire for someone else to fill in.

Wait What

Stop. That last message did not land: re-pitch it.

Get Search View Results

microsoft

OrganizationPopular

Get the current search results from the Search view in VS Code

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

制定计划

何时使用

应该使用

不应使用

工作流程

第一步：查询可用 Agent

第二步：请求计划

第三步：保存计划文件（推荐）

第四步：提炼并执行

第五步（如需细化）：追问

计划质量标准

护栏

Frequently asked questions

Related AI Skills

Set up your own AI workspace now