Agent skill

Lsystem Executor

Execute L-system and shape grammars to produce visual derivations, SVG/PNG renders, and optional STL meshes

Apache-2.0Auto-check passed

Install Lsystem Executor

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw lsystem-executor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lsystem-executor .claude/skills/lsystem-executor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "lsystem-executor" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/lsystem-executor into .claude/skills/lsystem-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsystem-executor", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/lsystem-executor

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw lsystem-executor --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lsystem-executor .agents/skills/lsystem-executor && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "lsystem-executor" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/lsystem-executor into .agents/skills/lsystem-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsystem-executor", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw lsystem-executor --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lsystem-executor .cursor/skills/lsystem-executor && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "lsystem-executor" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/lsystem-executor into .cursor/skills/lsystem-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsystem-executor", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/lsystem-executor

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw lsystem-executor --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lsystem-executor .gemini/skills/lsystem-executor && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "lsystem-executor" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/lsystem-executor into .gemini/skills/lsystem-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsystem-executor", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw lsystem-executor

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lsystem-executor .github/skills/lsystem-executor && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "lsystem-executor" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/lsystem-executor into .github/skills/lsystem-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsystem-executor", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw lsystem-executor --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lsystem-executor .opencode/skills/lsystem-executor && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "lsystem-executor" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/lsystem-executor into .opencode/skills/lsystem-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsystem-executor", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: lsystem-executor
GitHub stars: 244
Token cost: ~554 tokens
SKILL.md length: 183 words
Files: 3 (incl. scripts)
Skills in repo: 85
Repo updated: Aug 21, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Execute L-system and shape grammars to produce visual derivations, SVG/PNG renders, and optional STL meshes

SKILL.md covers Overview, Usage, Grammar JSON Format and Outputs
Runs Python scripts from its folder; calls python3

What it does

Lsystem Executor is an agent skill from lamm-mit/scienceclaw. Execute L-system and shape grammars to produce visual derivations, SVG/PNG renders, and optional STL meshes

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/lsystem_render.py`).

The licence is Apache-2.0.

Example prompts

“/lsystem-executor”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lsystem Executor loads about 554 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~31
When it runs · the whole SKILL.md, loaded when a task matches: ~554

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 183 words, ~554 tokens.

Download SKILL.mdSave it as .claude/skills/lsystem-executor/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: lsystem-executor
description: Execute L-system and shape grammars to produce visual derivations, SVG/PNG renders, and optional STL meshes

L-System Executor

Execute parametric L-system grammars and render the results as images or meshes.

Overview

Takes a grammar definition (axiom + rewrite rules) and produces:

Step-by-step derivation showing the string at each iteration
2D turtle-graphics rendering as SVG and PNG
Optional 3D extrusion to STL (if --stl flag is passed)

Useful for investigations that produce symbolic growth grammars (urban evolution, microstructure growth, biological branching) and need a concrete visual artifact.

Usage

From a JSON grammar file:

bash

python3 {baseDir}/scripts/lsystem_render.py --grammar grammar.json --steps 4 --output output_dir/

Inline grammar:

bash

python3 {baseDir}/scripts/lsystem_render.py \
  --axiom "A" \
  --rules '{"A": "A[+B]A[-B]A", "B": "BB"}' \
  --angle 25 \
  --steps 4 \
  --output output_dir/

With STL export:

bash

python3 {baseDir}/scripts/lsystem_render.py \
  --grammar grammar.json \
  --steps 3 \
  --stl \
  --output output_dir/

Grammar JSON Format

json

{
  "axiom": "A",
  "rules": {
    "A": "A[+B]A[-B]A",
    "B": "BB"
  },
  "angle": 25.0,
  "step_length": 10.0,
  "length_scale": 1.0,
  "title": "Urban-Material Growth Grammar"
}

Symbols

Symbol	Meaning
`F`	Move forward, drawing a line
`A-Z` (uppercase)	Move forward, drawing a line (also rewritable)
`f`	Move forward without drawing
`+`	Turn left by angle
`-`	Turn right by angle
`[`	Push position and heading onto stack
`]`	Pop position and heading from stack
`!`	Decrease line width
`>`	Multiply step length by length_scale

Outputs

The script produces in the output directory:

derivation.txt — string at each step
render.svg — vector graphics of the final structure
render.png — rasterized version (300 DPI)
render_steps.png — grid showing each derivation step side by side
grammar.json — the grammar used (for reproducibility)
render.stl — 3D mesh (only if --stl flag is used)

Files

SKILL.md and 2 other files (scripts) in skills/lsystem-executor of lamm-mit/scienceclaw.

SKILL.md
scripts/__pycache__/lsystem_render.cpython-313.pyc
scripts/lsystem_render.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Lsystem Executor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lsystem Executor compared with similar skills
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Lsystem Executor this skilllamm-mit/scienceclaw	244	—	~554	Automated safety check: Pass	Apache-2.0	1 mo ago
Executealirezarezvani/claude-skills	28k	—	~831	Automated safety check: Pass	MIT	1 mo ago
Ulw Executecode-yeongyu/oh-my-openagent	70k	—	~6.3k	Automated safety check: Pass	Custom licence	today
Executebrycewang-stanford/Auto-Empirical-Research-Skills	4.5k	—	~370	Automated safety check: Notes	Custom licence	2 days ago
Longbridge Derivativessickn33/agentic-awesome-skills	47k	1 repos	~1.1k	Automated safety check: Pass	MIT	yesterday
Executionalsk1992/CloddsBot	2.9k	—	~1.7k	Automated safety check: Pass	MIT	5 days ago

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Questions about Lsystem Executor

What does Lsystem Executor do?

Execute L-system and shape grammars to produce visual derivations, SVG/PNG renders, and optional STL meshes. Lsystem Executor is an agent skill from lamm-mit/scienceclaw.

How do I install Lsystem Executor in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a claude-code`. Or copy the skill folder (skills/lsystem-executor in lamm-mit/scienceclaw) into .claude/skills/lsystem-executor in your project. Claude Code loads it when a task matches its description.

How do I install Lsystem Executor in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a codex`. Or copy the skill folder (skills/lsystem-executor in lamm-mit/scienceclaw) into .agents/skills/lsystem-executor in your project. Codex loads it when a task matches its description.

Can I use Lsystem Executor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill lsystem-executor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lsystem-executor, .gemini/skills/lsystem-executor, .github/skills/lsystem-executor and .opencode/skills/lsystem-executor in your project.

What does Lsystem Executor need to run?

Going by SKILL.md and its folder, Lsystem Executor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Lsystem Executor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lsystem Executor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Lsystem Executor use?

Lsystem Executor is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lsystem Executor use?

About 554 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lsystem Executor?

Skills that share tags, products or a category with Lsystem Executor: Execute (alirezarezvani/claude-skills, 28k stars), Ulw Execute (code-yeongyu/oh-my-openagent, 70k stars), Execute (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Longbridge Derivatives (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lsystem Executor?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 21, 2026.

Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Lsystem Executor

Facts

At a glance

What it does

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

L-System Executor

Overview

Usage

From a JSON grammar file:

Inline grammar:

With STL export:

Grammar JSON Format

Symbols

Outputs

Files

Compare with similar skills

Similar skills

More from lamm-mit/scienceclaw

Questions about Lsystem Executor