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Plan Writing

CommunityPopular
vudovn
plan-writing

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

Overview

Publishervudovn
Repositoryag-kit
Skill nameplan-writing
Stars
8.2K
Forks
1.5K
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Plan Writing 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/vudovn/ag-kit/tree/main/.agents/skills/plan-writing
  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/vudovn/ag-kit.git /tmp/ag-kit
mkdir -p .claude/skills
cp -r /tmp/ag-kit/.agents/skills/plan-writing .claude/skills/plan-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plan Writing 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 Plan Writing 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 Plan Writing 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.

Plan Writing

Source: obra/superpowers

Overview

This skill provides a framework for breaking down work into clear, actionable tasks with verification criteria.

Task Breakdown Principles

1. Small, Focused Tasks

  • Each task should take 2-5 minutes
  • One clear outcome per task
  • Independently verifiable

2. Clear Verification

  • How do you know it's done?
  • What can you check/test?
  • What's the expected output?

3. Logical Ordering

  • Dependencies identified
  • Parallel work where possible
  • Critical path highlighted
  • Phase X: Verification is always LAST

4. Dynamic Naming in Project Root

  • Plan files are saved as {task-slug}.md in the PROJECT ROOT
  • Name derived from task (e.g., "add auth" → auth-feature.md)
  • NEVER inside .agents/, docs/, or temp folders

Planning Principles (NOT Templates!)

🔴 NO fixed templates. Each plan is UNIQUE to the task.

Principle 1: Keep It SHORT

❌ Wrong✅ Right
50 tasks with sub-sub-tasks5-10 clear tasks max
Every micro-step listedOnly actionable items
Verbose descriptionsOne-line per task

Rule: If plan is longer than 1 page, it's too long. Simplify.


Principle 2: Be SPECIFIC, Not Generic

❌ Wrong✅ Right
"Set up project""Run npx create-next-app"
"Add authentication""Install next-auth, create /api/auth/[...nextauth].ts"
"Style the UI""Add Tailwind classes to Header.tsx"

Rule: Each task should have a clear, verifiable outcome.


Principle 3: Dynamic Content Based on Project Type

For NEW PROJECT:

  • What tech stack? (decide first)
  • What's the MVP? (minimal features)
  • What's the file structure?

For FEATURE ADDITION:

  • Which files are affected?
  • What dependencies needed?
  • How to verify it works?

For BUG FIX:

  • What's the root cause?
  • What file/line to change?
  • How to test the fix?

Principle 4: Scripts Are Project-Specific

🔴 DO NOT copy-paste script commands. Choose based on project type.

Project TypeRelevant Scripts
Frontend/Reactux_audit.py, accessibility_checker.py
Backend/APIapi_validator.py, security_scan.py
Mobilemobile_audit.py
Databaseschema_validator.py
Full-stackMix of above based on what you touched

Wrong: Adding all scripts to every plan Right: Only scripts relevant to THIS task


Principle 5: Verification is Simple

❌ Wrong✅ Right
"Verify the component works correctly""Run npm run dev, click button, see toast"
"Test the API""curl localhost:3000/api/users returns 200"
"Check styles""Open browser, verify dark mode toggle works"

Plan Structure (Flexible, Not Fixed!)

# [Task Name]

## Goal
One sentence: What are we building/fixing?

## Tasks
- [ ] Task 1: [Specific action] → Verify: [How to check]
- [ ] Task 2: [Specific action] → Verify: [How to check]
- [ ] Task 3: [Specific action] → Verify: [How to check]

## Done When
- [ ] [Main success criteria]

## Notes
[Any important considerations]

That's it. No phases, no sub-sections unless truly needed. Keep it minimal. Add complexity only when required.


Best Practices (Quick Reference)

  1. Start with goal - What are we building/fixing?
  2. Max 10 tasks - If more, break into multiple plans
  3. Each task verifiable - Clear "done" criteria
  4. Project-specific - No copy-paste templates
  5. Update as you go - Mark [x] when complete

When to Use

  • New project from scratch
  • Adding a feature
  • Fixing a bug (if complex)
  • Refactoring multiple files

Frequently asked questions

What does the Plan Writing AI skill do?

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

Why use Plan Writing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vudovn/ag-kit/tree/main/.agents/skills/plan-writing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Plan Writing?

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 Plan Writing?

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

Is the Plan Writing AI skill free?

Yes. It is published on GitHub by vudovn 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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