Setup Superconductor Project logo

Setup Superconductor Project

Community
HazAT
setup-superconductor-project

Configures a repository for super.engineering with repo-owned worktree setup and development-server scripts. Use when asked to "make this project Superconductor ready", "set up super.engineering", "add worktree setup", or "configure the dev server".

Overview

PublisherHazAT
Repositorypi-config
Skill namesetup-superconductor-project
Stars
450
Forks
44
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 HazAT on GitHub. Read the source before you install it.

Installation

Install the Setup Superconductor Project 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/HazAT/pi-config.git /tmp/pi-config
mkdir -p .claude/skills
cp -r /tmp/pi-config/skills/setup-superconductor-project .claude/skills/setup-superconductor-project
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup Superconductor 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 Setup Superconductor 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 Setup Superconductor 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.

Set Up a Superconductor Project

Configure the current repository's .superconductor/config.json through the supported sc project scripts interface. Do not create a worktree, commit, push, or open a browser unless separately requested.

Step 1: Load Live Guidance

  1. Read ~/.pi/agent/skills/superconductor/SKILL.md.
  2. Run sc instructions project and sc project scripts --help before mutation.
  3. Inspect current state:
bash
sc project scripts --json
sc project scripts check --json
sc worktree status --json
git status --short --branch

Treat live instructions and current help as authoritative.

Step 2: Derive Commands from Repository Evidence

Read repository instruction files, the existing .superconductor/config.json when present, root manifests, lockfiles, workspace configuration, and package scripts.

Choose commands only when repository evidence supports them:

  • Derive setup from the committed package-manager lockfile, such as pnpm install --frozen-lockfile or npm ci.
  • Prefer an existing dev or start script for the default run target.
  • Inspect the framework CLI help before adding host, port, or forwarding arguments. Do not guess flag syntax.
  • For a browser-facing development server, configure an IPv4-reachable bind address when the framework supports it; verify the exact invocation. For example, Astro accepts pnpm run dev --host 0.0.0.0, while other frameworks differ.
  • Preserve an existing valid setup or run command unless evidence shows it is wrong.
  • Ask one focused question when the package manager, run script, or intended service is ambiguous.

Do not invent teardown, stop, or cleanup commands. Add them only when the repository already defines the required lifecycle behavior.

Step 3: Write Repo-Owned Configuration

Use repo scope so managed worktrees inherit the configuration. Use sc, not direct JSON replacement, because it preserves unknown fields and validates atomically.

bash
sc project scripts set setup "<verified setup command>" --scope repo --json
sc project scripts set run devserver --default "<verified run command>" --scope repo --json

If no setup command is needed, do not add an empty one. If the repository already has multiple named run targets, preserve them and choose a descriptive name for the new target rather than replacing unrelated entries.

Step 4: Verify

  1. Validate the resulting config:
bash
sc project scripts check --json
  1. Run the setup command once when it is safe and non-destructive.
  2. Start the configured target through sc project scripts run <name> --json.
  3. Confirm sc project scripts status --json reports it running.
  4. When the service exposes HTTP and its port is known from evidence, request its IPv4 loopback URL and require a successful response.
  5. Stop the target after verification unless the user asked to leave it running, then verify it is idle.
  6. Inspect .superconductor/config.json, git diff, and git status --short.

A successful process launch without a reachable service is not sufficient verification for a browser-facing app.

Step 5: Report

Report:

markdown
Configured `.superconductor/config.json`:
- Setup: `<command>` or none
- Default run target: `<name>``<command>`

Verification:
- Config validation — pass/fail
- Setup — pass/skipped with reason
- Runtime state — running/failed
- Service check — URL and result, or not applicable
- Final runtime state — idle or intentionally left running

Files changed:
- `.superconductor/config.json`

Leave the configuration uncommitted unless the user separately requests a commit.

Frequently asked questions

What does the Setup Superconductor Project AI skill do?

Configures a repository for super.engineering with repo-owned worktree setup and development-server scripts. Use when asked to "make this project Superconductor ready", "set up super.engineering", "add worktree setup", or "configure the dev server".

Why use Setup Superconductor Project on TypingMind?

Because you install it once and use it with any model. Setup Superconductor 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 Setup Superconductor Project in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HazAT/pi-config/tree/main/skills/setup-superconductor-project. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Setup Superconductor 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 Setup Superconductor Project?

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

Is the Setup Superconductor Project AI skill free?

Yes. It is published on GitHub by HazAT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇