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Writing Plans

Organization
Optima-CityU
writing-plans

Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified.

Overview

PublisherOptima-CityU
RepositoryLLM4AD_Next
Skill namewriting-plans
Stars
596
Forks
41
Bundled files
Instructions only
LicenseBSD-3-Clause
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 Optima-CityU on GitHub. Read the source before you install it.

Installation

Install the Writing Plans 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/Optima-CityU/LLM4AD_Next/tree/main/docker/knowledge-parser/skills/writing-plans
  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/Optima-CityU/LLM4AD_Next.git /tmp/LLM4AD_Next
mkdir -p .claude/skills
cp -r /tmp/LLM4AD_Next/docker/knowledge-parser/skills/writing-plans .claude/skills/writing-plans
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Writing Plans 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 Writing Plans 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 Writing Plans 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.

Writing Plans

Before changing files, make a concise internal plan based on the user's requested output and the complete source document.

  1. Identify the document's purpose, audience, main claims, constraints, causal relationships, examples, and reusable guidance.
  2. Decide whether one coherent document is sufficient. Create child documents only for themes that can stand alone and are useful independently.
  3. Map every important source section to the planned output so information is not silently dropped.
  4. Preserve uncertainty and provenance. Never invent dates, facts, or conclusions.
  5. Review the planned structure for repetition and fragmentation before writing.

The user's instructions override output-location conventions. If the user says not to create a plan file, keep the plan internal and write only the requested deliverables.

Frequently asked questions

What does the Writing Plans AI skill do?

Use before a multi-step document restructuring task to map the source, preserve important relationships, and decide whether child documents are justified.

Why use Writing Plans on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Optima-CityU/LLM4AD_Next/tree/main/docker/knowledge-parser/skills/writing-plans. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Writing Plans?

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 Writing Plans?

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

Is the Writing Plans AI skill free?

Yes. It is published on GitHub by Optima-CityU under the BSD-3-Clause 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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