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Plan

Organization
codewithmukesh
plan

Enter plan mode for .NET projects with architecture awareness. Analyzes tasks through the lens of supported architectures (VSA, Clean Architecture, DDD, Modular Monolith) and produces structured implementation plans before any code is written. Use when: "plan", "let's plan", "think through", "design this", "how should I implement", or any non-trivial task requiring 3+ steps.

Overview

Publishercodewithmukesh
Repositorydotnet-claude-kit
Skill nameplan
Stars
721
Forks
170
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 codewithmukesh on GitHub. Read the source before you install it.

Installation

Install the Plan 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/codewithmukesh/dotnet-claude-kit.git /tmp/dotnet-claude-kit
mkdir -p .claude/skills
cp -r /tmp/dotnet-claude-kit/skills/plan .claude/skills/plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

/plan -- Architecture-Aware Planning

What

Enters a structured planning mode that considers the project's architecture pattern before producing an implementation plan. Instead of jumping straight to code, this command forces a deliberate pause to:

  • Identify the project's current architecture (or recommend one)
  • Map the task to affected layers, modules, and boundaries
  • Produce a numbered implementation plan with clear steps
  • Iterate on the plan until it is solid before writing any code

Plans are living documents -- if something goes sideways during implementation, stop and re-plan rather than pushing through a broken approach.

When

  • Non-trivial tasks requiring 3 or more implementation steps
  • Tasks involving architectural decisions (new modules, cross-cutting concerns, new bounded contexts)
  • Features that touch multiple layers (API, application, domain, infrastructure)
  • Refactoring that could affect multiple consumers
  • Any time the user says "plan", "think through", "design this", or "how should I approach"

Skip planning for: Single-file changes, simple bug fixes, typo corrections, config tweaks.

How

Step 1: Understand the Task

Check docs/specs/ for an approved spec covering this task — if one exists, it is the source of truth: map its acceptance criteria to plan steps and skip ahead to Step 2. If the feature is spec-worthy (too big to describe in one sentence) and no spec exists, recommend /spec first instead of planning on assumptions. Otherwise, clarify what the user wants to build with focused questions. Do not assume requirements that were not stated.

Step 2: Detect Architecture

Use the architecture-advisor skill to determine the project's architecture:

  • Check for existing architecture markers (folder structure, project references, patterns)
  • If no architecture is established, run the architecture questionnaire
  • Load the appropriate architecture-specific skill (vertical-slice, clean-architecture, ddd)

Step 3: Map Affected Areas

Identify every layer, module, and boundary the task touches:

  • Which projects/folders will have new or modified files?
  • Are there cross-cutting concerns (auth, caching, validation, logging)?
  • What existing code will be impacted? Use find_references and find_callers MCP tools for blast radius.
  • Are there database migrations needed?

Step 4: Produce the Plan

Output a numbered plan with this structure:

## Plan: [Task Title]

**Architecture:** [Detected architecture]
**Affected layers:** [List]
**Estimated steps:** [Count]

### Steps
1. [Step] -- [Which file/layer] -- [Why this order]
2. ...

### Open Questions
- [Anything that needs user input before proceeding]

### Risks
- [Potential issues and mitigations]

Step 5: Iterate

Present the plan and ask: "Does this plan look right, or should I adjust anything?" Revise until the user confirms. Only then proceed to implementation.

Example

User: /plan Add a product catalog feature with search and filtering

Claude: Let me analyze your project structure first...

## Plan: Product Catalog Feature

**Architecture:** Vertical Slice Architecture
**Affected layers:** Features/, Infrastructure/Persistence/, Tests/
**Estimated steps:** 6

### Steps
1. Create Product entity + EF config -- Domain layer -- Foundation for everything else
2. Add migration -- Infrastructure -- Schema must exist before features
3. Scaffold GetProducts feature (with filtering) -- Features/Products/ -- Read path first
4. Scaffold CreateProduct feature -- Features/Products/ -- Write path
5. Add integration tests -- Tests/Features/Products/ -- Verify both features
6. Wire up OpenAPI metadata -- Features/Products/ -- Documentation

### Open Questions
- Should search be full-text (PostgreSQL tsvector) or simple LIKE?
- Do products need categories/tags for filtering?

Does this plan look right, or should I adjust anything?

Related

  • /spec -- Write the spec first for features too big to describe in one sentence
  • /scaffold -- Generate the files once the plan is approved
  • /verify -- Run verification after implementing the plan

Frequently asked questions

What does the Plan AI skill do?

Enter plan mode for .NET projects with architecture awareness. Analyzes tasks through the lens of supported architectures (VSA, Clean Architecture, DDD, Modular Monolith) and produces structured implementation plans before any code is written. Use when: "plan", "let's plan", "think through", "design this", "how should I implement", or any non-trivial task requiring 3+ steps.

Why use Plan on TypingMind?

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

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

Which AI models can use 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 Plan?

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

Is the Plan AI skill free?

Yes. It is published on GitHub by codewithmukesh 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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