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Create Plugin Scaffold

OrganizationPopular
cursor
create-plugin-scaffold

Create a new Cursor plugin scaffold with a valid manifest, component directories, and marketplace wiring. Use when starting a new plugin or adding a plugin to a multi-plugin repository.

Overview

Publishercursor
Repositoryplugins
Skill namecreate-plugin-scaffold
Stars
8K
Forks
728
Bundled files
Instructions only
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 cursor on GitHub. Read the source before you install it.

Installation

Install the Create Plugin Scaffold 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/cursor/plugins.git /tmp/plugins
mkdir -p .claude/skills
cp -r /tmp/plugins/create-plugin/skills/create-plugin-scaffold .claude/skills/create-plugin-scaffold
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Plugin Scaffold 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 Plugin Scaffold 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 Plugin Scaffold 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 plugin scaffold

Trigger

You need to create a new Cursor plugin from scratch and make it ready for local use or marketplace submission.

Required Inputs

  • Plugin name (lowercase kebab-case)
  • Plugin purpose and target users
  • Component set to include (rules, skills, agents, commands, hooks, mcpServers)
  • Repository style (single-plugin or multi-plugin marketplace)

Output Location

By default, create the plugin inside the user's local plugin directory:

~/.cursor/plugins/local/<plugin-name>/

This path makes the plugin immediately available to Cursor without any install step. If the user explicitly asks to create the plugin elsewhere (e.g. inside an existing repo or a specific directory), respect that choice instead.

Workflow

  1. Validate plugin name format: lowercase kebab-case, starts and ends with an alphanumeric character.
  2. Determine the target directory:
    • Default: ~/.cursor/plugins/local/<plugin-name>/
    • Override: use the path the user specifies, if any.
    • Create the directory (and parents) if it does not exist.
  3. Create base files inside the target directory:
    • .cursor-plugin/plugin.json
    • README.md
    • LICENSE
    • optional CHANGELOG.md
  4. Populate plugin.json:
    • Required: name
    • Recommended: version, description, author, license, keywords
    • Add explicit component paths only when non-default discovery is needed.
  5. Create component files with valid frontmatter:
    • Rules: .mdc with description, alwaysApply, optional globs
    • Skills: skills/<skill-name>/SKILL.md with name, description
    • Agents: agents/*.md with name, description
    • Commands: commands/*.(md|txt) with name, description
  6. If repository uses .cursor-plugin/marketplace.json, add plugin entry:
    • name
    • source
    • optional metadata (description, keywords, category, tags)
  7. Ensure all manifest paths are relative, valid, and do not use absolute paths or parent traversal.

Guardrails

  • Keep the plugin focused on one use case.
  • Prefer concise, actionable skill and rule text over long prose.
  • Do not reference files that do not exist.
  • Use folder discovery defaults unless custom paths are required.
  • Always save to ~/.cursor/plugins/local/<plugin-name>/ unless the user provides a different path.

Output

  • Created file tree for the plugin (with full path to the output directory)
  • Final plugin.json
  • Marketplace entry (if applicable)
  • Short validation report of required fields and component metadata
  • Confirmation that the plugin is saved under ~/.cursor/plugins/local/ and ready for use

Frequently asked questions

What does the Create Plugin Scaffold AI skill do?

Create a new Cursor plugin scaffold with a valid manifest, component directories, and marketplace wiring. Use when starting a new plugin or adding a plugin to a multi-plugin repository.

Why use Create Plugin Scaffold on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cursor/plugins/tree/main/create-plugin/skills/create-plugin-scaffold. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Plugin Scaffold?

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 Plugin Scaffold?

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

Is the Create Plugin Scaffold AI skill free?

It is published on GitHub by cursor. Check the repository for licensing terms. 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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