Setting Up A Project

Organization

JetBrains

setting-up-a-project

Use when asked to set up, onboard, initialize, or spec a project with no spec graph, or when invoked by the app's Set-up-project card. Not for ordinary work in an already-specced project.

Overview

Publisher	JetBrains
Repository	`thinkrail`
Skill name	`setting-up-a-project`
Stars	514
Forks	42
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 JetBrains on GitHub. Read the source before you install it.

Installation

Install the Setting Up A Project 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/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/setting-up-a-project
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/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/setting-up-a-project

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/JetBrains/thinkrail.git /tmp/thinkrail
mkdir -p .claude/skills
cp -r /tmp/thinkrail/packages/pi-thinkrail-workflow/skills/setting-up-a-project .claude/skills/setting-up-a-project

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

Use it in TypingMind

Enable Setting Up A Project 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 Setting Up A Project 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 Setting Up A Project 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.

Setting up a project — dispatcher

The single entry point for turning a project into a spec graph. Figure out which situation you're in, then follow the matching skill — don't improvise the flow yourself.

1. Detect

Look at the workspace and use the spec tools (spec_grep / spec_graph):

Is there already a spec graph (a goal-and-requirements.md or any SPEC.md)?
Is there real source code, or is the repo empty / near-empty (just a README or scaffolding)?

2. Route

Situation	Follow
Already has specs	Don't redo it. Briefly offer to review/extend the graph (fill obvious gaps — a missing `architecture.md`, un-specced modules). For other work, use `brainstorming` only when product scope, user-visible behavior, or architecture remains to decide; otherwise proceed directly. Declined → stop. Accepted → Graph extension below.
No specs · empty / near-empty repo	The `starting-a-new-project` skill — interview the user to turn the idea into `goal-and-requirements.md`.
No specs · real source code	The `importing-a-codebase` skill — analyze the code + agent files and draft the first spec graph, asking only for intent the code can't reveal.

Read and follow that skill's steps.

Graph extension (no dedicated skill)

No dedicated skill covers extending an existing graph. If the offer is accepted, align and adapt to the user's request with your own judgment, holding the writing-specs bar without a routing announcement.

Handoff

Ends by naming exactly one of: starting-a-new-project, importing-a-codebase, or — when specs already exist — the review/extend offer above (declined → stop; accepted → graph extension on judgment against the writing-specs bar).

Frequently asked questions

What does the Setting Up A Project AI skill do?

Use when asked to set up, onboard, initialize, or spec a project with no spec graph, or when invoked by the app's Set-up-project card. Not for ordinary work in an already-specced project.

Why use Setting Up A Project on TypingMind?

Because you install it once and use it with any model. Setting Up A Project 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 Setting Up A Project in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/setting-up-a-project. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Setting Up A Project?

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 Setting Up A Project?

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

Is the Setting Up A Project AI skill free?

Yes. It is published on GitHub by JetBrains 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Setting up a project — dispatcher

1. Detect

2. Route

Graph extension (no dedicated skill)

Handoff

Frequently asked questions

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