Scienceworld Circuit Connector logo

Scienceworld Circuit Connector

OrganizationPopular
zjunlp
scienceworld-circuit-connector

This skill connects two electrical components (e.g., wires, batteries, devices) by their terminals to build or modify a circuit. Use when constructing electrical setups for testing, such as conductivity checks or device activation. The input includes two component identifiers and their connection points, and the output is an established electrical connection.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namescienceworld-circuit-connector
Stars
1.4K
Forks
152
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Scienceworld Circuit Connector 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/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-circuit-connector
  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/zjunlp/SkillNet.git /tmp/SkillNet
mkdir -p .claude/skills
cp -r /tmp/SkillNet/experiments/src/skills/scienceworld/scienceworld-circuit-connector .claude/skills/scienceworld-circuit-connector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Circuit Connector 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 Scienceworld Circuit Connector 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 Scienceworld Circuit Connector 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.

Instructions

Primary Action

Execute the connect OBJ to OBJ action. The syntax is connect <ComponentA> <TerminalA> to <ComponentB> <TerminalB>.

When to Use

Use this skill when you need to establish an electrical connection between two components as part of building a circuit for testing or device operation. Common scenarios include:

  • Building a circuit to test a material's conductivity.
  • Connecting a power source (battery) to a load (light bulb, buzzer).
  • Integrating a switch or sensor into a circuit.

Procedure

  1. Identify Components: Locate the two components you need to connect (e.g., battery, black wire, unknown substance M, electric buzzer).
  2. Identify Terminals: Examine the components if necessary to determine their available connection points (e.g., anode, cathode, terminal 1, terminal 2).
  3. Formulate Command: Construct the connect command using the pattern: connect <ComponentA> <TerminalA> to <ComponentB> <TerminalB>.
    • Example from trajectory: connect battery anode to black wire terminal 1
  4. Execute: Issue the command. A successful observation will confirm the connection (e.g., "anode on battery is now connected to terminal 1 on black wire").

Key Principles

  • Circuit Logic: Ensure your connections follow basic electrical principles. A typical series circuit path might be: Battery (+) -> Wire -> Device -> Wire -> Battery (-).
  • Verification: After making connections, check the state of indicators (like lights or buzzers) or use the examine action on components to verify the circuit is complete and functional.
  • Error Handling: If a connection fails, verify the component and terminal names are correct. Some terminals may only accept one connection.

Related Skills

  • For disconnecting components, use the disconnect OBJ action.
  • To activate/deactivate a powered component in the circuit, use the activate OBJ/deactivate OBJ actions.
  • Refer to references/circuit_basics.md for common circuit diagrams and troubleshooting.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Scienceworld Circuit Connector AI skill do?

This skill connects two electrical components (e.g., wires, batteries, devices) by their terminals to build or modify a circuit. Use when constructing electrical setups for testing, such as conductivity checks or device activation. The input includes two component identifiers and their connection points, and the output is an established electrical connection.

Why use Scienceworld Circuit Connector on TypingMind?

Because you install it once and use it with any model. Scienceworld Circuit Connector 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 Scienceworld Circuit Connector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-circuit-connector. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Scienceworld Circuit Connector?

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 Scienceworld Circuit Connector?

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

Is the Scienceworld Circuit Connector AI skill free?

Yes. It is published on GitHub by zjunlp 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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