Scienceworld Growth Focuser

OrganizationPopular

zjunlp

scienceworld-growth-focuser

Use when you have planted a seed or need to track a plant's growth stage (sprouting, flowering, reproduction). Applies the 'focus on' action to a specific plant or biological entity to signal intent and monitor its development. Trigger after planting or when you need to observe life cycle progression in the ScienceWorld environment.

Overview

Publisher	zjunlp
Repository	`SkillNet`
Skill name	`scienceworld-growth-focuser`
Stars	1.4K
Forks	152
Bundled files	1
License	MIT
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.
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 Growth Focuser 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/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-growth-focuser
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/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-growth-focuser

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/zjunlp/SkillNet.git /tmp/SkillNet
mkdir -p .claude/skills
cp -r /tmp/SkillNet/experiments/src/skills/scienceworld/scienceworld-growth-focuser .claude/skills/scienceworld-growth-focuser

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

Use it in TypingMind

Enable Scienceworld Growth Focuser 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 Growth Focuser 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 Growth Focuser 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.

Skill: Growth Focuser

Purpose

Apply the focus on action to a specific biological entity (e.g., a planted seed or growing plant) to signal your intent to monitor its development. This action is often a prerequisite for the environment to process growth stages or trigger life cycle progression events.

When to Use

Use this skill when:

After Planting: You have just placed a seed or seedling into a suitable growth medium (e.g., soil with water).
Stage Monitoring: You need to check or trigger a progression in the plant's life cycle (e.g., from seed to sprout, sprout to mature plant, flowering, or reproduction).
Intent Signaling: The task requires you to explicitly indicate which entity you are observing or nurturing.

Core Instruction

Identify the Target: Locate the specific plant or seed you intend to focus on. Ensure it is in a valid state for growth (e.g., planted in soil with water).
Execute Focus: Use the action: focus on <PLANT_OBJECT> [in <CONTAINER>].
- Replace <PLANT_OBJECT> with the exact name of the biological entity (e.g., avocado seed).
- Use the optional [in <CONTAINER>] clause if the object is inside another object (e.g., avocado seed in flower pot 1). This is crucial for disambiguation.
Confirm & Wait: Upon successful focus, you will receive a confirmation. Biological growth requires time. Use wait actions strategically after focusing to allow the simulated environment to process development stages.

Key Considerations

Disambiguation: If multiple identical objects exist, the environment may prompt you to choose. Always specify the container (e.g., in flower pot 1) to avoid this.
Prerequisites: The focus on action typically follows preparatory steps like teleport to <location>, pick up <item>, and move <seed> to <pot>.
Patience is Required: Growth is not instantaneous. The focus on action signals intent, but you must follow it with wait actions to observe results.

Example

Scenario: You need to grow an avocado plant from seed to maturity.

You have already moved avocado seed into flower pot 1 which contains soil and water.
Run focus on avocado seed in flower pot 1 — output: "You focus on the avocado seed."
Run wait — the environment processes one time step.
Run focus on avocado seed in flower pot 1 again — output may now show: "avocado sprout" indicating growth progression.
Continue alternating focus on and wait until the plant reaches the desired life stage (sprout, mature plant, flowering, reproduction).

Note: Always include the in <CONTAINER> clause when multiple pots or seeds exist to avoid disambiguation prompts.

Quick Reference

Trigger Condition: Seed/Plant is in a growth-ready state. Primary Action: focus on <PLANT_OBJECT> [in <CONTAINER>] Next Steps: Use wait to allow time for growth progression.

Bundled files

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

references/trajectory_analysis.md2 KB

Frequently asked questions

What does the Scienceworld Growth Focuser AI skill do?

Why use Scienceworld Growth Focuser on TypingMind?

Because you install it once and use it with any model. Scienceworld Growth Focuser 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 Growth Focuser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-growth-focuser. 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 Growth Focuser?

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 Growth Focuser?

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

Is the Scienceworld Growth Focuser 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Skill: Growth Focuser

Purpose

When to Use

Core Instruction

Key Considerations

Example

Quick Reference

Bundled files

Frequently asked questions

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