Agent skill

3D Falling Leaves

by MengTo in MengTo/Skills

Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling.

MITAuto-check passedGame Development

Install 3D Falling Leaves

skills CLI
$ npx skills add MengTo/Skills --skill 3d-falling-leaves -a claude-code

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

GitHub CLI
$ gh skill install MengTo/Skills 3d-falling-leaves --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/MengTo/Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-skills/3d/3d-falling-leaves .claude/skills/3d-falling-leaves && 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/

Facts

Skill name
3d-falling-leaves
GitHub stars
6.7k
Token cost
~1.3k tokens
SKILL.md length
696 words
Files
3
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling.

  • 3D autumn leaves
  • SKILL.md covers Build one convincing leaf, Couple tumble and drift, Instance and recycle and Integrate with the world, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Drifting foliage in Three.js and similar scenes

What it does

3D Falling Leaves is an agent skill from MengTo/Skills. Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling. Use for 3D autumn leaves or drifting foliage in Three.js and similar scenes; use falling-leaves for a 2D canvas overlay.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `REFERENCES.md` and `agents/openai.yaml`).

It sits in Game Development, covering 3D graphics and WebGL. It works with Three.js. The repository describes itself as: Agent skills for designers and builders using Codex, Claude, Cursor, and other AI coding agents. The licence is MIT.

When your agent uses it

  • 3D autumn leaves
  • Drifting foliage in Three.js and similar scenes
  • Use falling-leaves for a 2D canvas overlay

Example prompts

  • “/3d-falling-leaves”

What it can do on your machine

Read from SKILL.md and the folder at commit 83a47fe. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • threejs.org

    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

3D Falling Leaves loads about 1.3k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 696 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from MengTo/Skills at commit 83a47fe, republished under its MIT licence (© MengTo). 696 words, ~1,304 tokens.

Download SKILL.mdSave it as .claude/skills/3d-falling-leaves/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
3d-falling-leaves
description
Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling. Use for 3D autumn leaves or drifting foliage in Three.js and similar scenes; use falling-leaves for a 2D canvas overlay.

3D Falling Leaves

Make individual leaves turn through face, edge, and back while drifting through the scene. The visible edge-on moment is essential to the effect.

Build one convincing leaf

Use a two-sided quad or lightly bent mesh with a recognizable leaf silhouette, stem, and restrained vein detail. Camera-facing point sprites cannot turn edge-on. Begin with one slow leaf before increasing the count.

Give the back a slightly paler, less saturated appearance and orient its lighting normal correctly. For a custom shader, gl_FrontFacing can distinguish front/back; do not flip normals twice if the engine's material already handles double-sided lighting. Keep light transmission subtle and linked to the scene sun rather than using an unconditionally glowing leaf.

Use a padded texture atlas for multiple silhouettes. Extend edge colors into transparent texels and keep padding through mip levels to prevent dark rims and atlas bleed. Treat a color atlas as sRGB; treat an atlas encoding masks or material channels as data. Seijaku's procedural atlas encodes channels and is not an ordinary leaf photograph.

Couple tumble and drift

Assign persistent seeded values per leaf: position seed, scale, phase, tumble rate, roll rate, fall speed, lateral slip, and palette variation. Never generate new random values every frame.

The lateral velocity should follow the tumble, so a leaf slips fastest when edge-on. For angular speed omega bounded away from zero:

js
const angle = phase + omega * time;
const sideOffset = -(slip / omega) * Math.cos(angle);
// d(sideOffset)/dt = slip * sin(angle)

Apply that offset along the leaf's chosen horizontal direction. Use a separate slow roll and tilt; all leaves should not share one rhythm. Add a common wind field with small per-leaf response variation. Integrate changing wind over bounded simulation steps, or use a closed-form field; never catch up an entire hidden-tab interval with an unbounded loop.

Instance and recycle

Use an InstancedMesh with reusable CPU scratch objects for moderate counts, or instanced attributes and shader animation for larger fields. Upload seeded attributes once; update time, wind, season amount, and camera anchor uniforms. Refresh instance matrices/bounds correctly when using the CPU path. See InstancedMesh.

Center the recycling volume ahead of the camera along its horizontal viewing direction. Retain a fallback horizontal direction when looking nearly straight up or down. Preserve existing world positions as the camera moves; move the spawn/wrap boundaries rather than parenting all live leaves to the camera.

Wrap outside the visible central volume. Fade near boundaries with 1.0 - smoothstep(inner, outer, distance), where inner < outer; reversed GLSL smoothstep edges are undefined. Hide reset events beyond the fog, near the volume top, or behind a soft boundary fade. Seed each fall cycle for variation without frame-to-frame jitter.

Start with a sparse field and tighten its visible volume before increasing the count. Distinguish capacity, active count, and leaves actually visible. Use a few near leaves, a readable middle layer, and smaller distant leaves. Keep the closest leaves from covering the camera as giant blurred shapes.

Show full SKILL.md (227 more words)Show less

Integrate with the world

  • Depth-test against architecture and ground. Exclude covered interior volumes or provide roof/terrain collision proxies; depth testing alone does not prevent leaves falling inside rooms.
  • For crisp silhouettes, alpha testing with depth writes is a useful default. MSAA alpha-to-coverage can soften edges only when the actual target is multisampled. A custom shader must implement its alpha rejection; material settings alone do not insert arbitrary custom shader logic.
  • If alpha blending is needed, handle depth writes and sorting deliberately. Instances are not individually depth-sorted by default.
  • Match leaf cutouts and wind deformation in any shadow or occlusion pass. Disable leaf shadow casting when its cost or artifacts outweigh its visual contribution.
  • Let seasonal state control palette and active density; do not allocate a new leaf system per season.

Verify

Watch one leaf complete a tumble and a full fall cycle. Confirm its face/back differ, its edge thins, and its reset is hidden. Walk sideways, turn around, look up, enter a room, and resume after hiding the tab. Check the field at narrow and wide viewports, through the final tone mapper, and with reduced motion frozen at a composed state. Measure overdraw and update cost instead of assuming particles are free.

Read REFERENCES.md for the reference implementation. Seijaku's leafFall provides the closed-form animation pattern; replace its hardcoded roof rectangles with the target scene's geometry or volumes.

© MengTo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in agent-skills/3d/3d-falling-leaves of MengTo/Skills.

  • SKILL.md
  • REFERENCES.md
  • agents/openai.yaml

Open the folder on GitHubat commit 83a47fe

Compare with similar skills

3D Falling Leaves 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.

3D Falling Leaves compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
3D Falling Leaves this skillMengTo/Skills6.7k—~1.3kAutomated safety check: PassMIT
Image to Three.js Modelimg2threejs/img2threejs18k1 repos~8.2kAutomated safety check: PassApache-2.0
Web CloneJane-xiaoer/claude-skill-web-clone1k1 repos~2.7kAutomated safety check: PassMIT
Threejs Game Directormajidmanzarpour/threejs-game-skills2.5k—~2.2kAutomated safety check: PassMIT
Threejs Gameplay Systemsvalkor-ai/loom1.2k1 repos~1.4kAutomated safety check: PassApache-2.0
Threejs World Generationcalesthio/OpenMontage66k—~2kAutomated safety check: PassAGPL-3.0

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Works with

Questions about 3D Falling Leaves

What does 3D Falling Leaves do?

Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling. 3D Falling Leaves is an agent skill from MengTo/Skills. Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling.

When should I use 3D Falling Leaves?

3D Falling Leaves fits situations like: 3D autumn leaves; drifting foliage in Three.js and similar scenes; use falling-leaves for a 2D canvas overlay.

How do I install 3D Falling Leaves in Claude Code?

Run `npx skills add MengTo/Skills --skill 3d-falling-leaves -a claude-code`. Or copy the skill folder (agent-skills/3d/3d-falling-leaves in MengTo/Skills) into .claude/skills/3d-falling-leaves in your project. Claude Code loads it when a task matches its description.

How do I install 3D Falling Leaves in Codex?

Run `npx skills add MengTo/Skills --skill 3d-falling-leaves -a codex`. Or copy the skill folder (agent-skills/3d/3d-falling-leaves in MengTo/Skills) into .agents/skills/3d-falling-leaves in your project. Codex loads it when a task matches its description.

Can I use 3D Falling Leaves 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 MengTo/Skills --skill 3d-falling-leaves -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/3d-falling-leaves, .gemini/skills/3d-falling-leaves, .github/skills/3d-falling-leaves and .opencode/skills/3d-falling-leaves in your project.

What does 3D Falling Leaves need to run?

SKILL.md names no scripts, command-line tools or credentials: 3D Falling Leaves is instructions for the agent only.

Does 3D Falling Leaves access the network?

SKILL.md names 1 domain. As links in the text: threejs.org. This is read from the text; nothing was executed.

Is 3D Falling Leaves 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. Review the folder before installing.

What licence does 3D Falling Leaves use?

3D Falling Leaves is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 3D Falling Leaves use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 3D Falling Leaves?

Skills that share tags, products or a category with 3D Falling Leaves: Image to Three.js Model (img2threejs/img2threejs, 18k stars), Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars), Threejs Game Director (majidmanzarpour/threejs-game-skills, 2.5k stars) and Threejs Gameplay Systems (valkor-ai/loom, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 3D Falling Leaves?

MengTo (a GitHub user) maintains it in MengTo/Skills, which has 6,675 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.

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