Qiaomu Cut
joeseesun/qiaomu-cut-skill
把一句话需求转成可复现、可验收视频工程的乔木智能剪辑导演。Use when the user asks to create, plan, edit, remix, explain, narrate, subtitle, animate, composite, or render a video—including one-line requests such as “制作一个科普视频:介绍…
Generate PNG images by building a real Three.js 3D scene and capturing one frame headlessly — no image model involved.
$ npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hassancs91/claude-image-generation 3d-image-renderer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hassancs91/claude-image-generation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/level-2-image-generator .claude/skills/3d-image-renderer && rm -rf skills-srcUse ~/.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/
Install the "3d-image-renderer" agent skill from https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-2-image-generator into .claude/skills/3d-image-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3d-image-renderer", 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 install https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-2-image-generatorType 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.
$ npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hassancs91/claude-image-generation 3d-image-renderer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hassancs91/claude-image-generation.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/level-2-image-generator .agents/skills/3d-image-renderer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "3d-image-renderer" agent skill from https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-2-image-generator into .agents/skills/3d-image-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3d-image-renderer", 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.
$ npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hassancs91/claude-image-generation 3d-image-renderer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hassancs91/claude-image-generation.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/level-2-image-generator .cursor/skills/3d-image-renderer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "3d-image-renderer" agent skill from https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-2-image-generator into .cursor/skills/3d-image-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3d-image-renderer", 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 https://github.com/hassancs91/claude-image-generation.git --path .claude/skills/level-2-image-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hassancs91/claude-image-generation 3d-image-renderer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hassancs91/claude-image-generation.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/level-2-image-generator .gemini/skills/3d-image-renderer && rm -rf skills-srcUse ~/.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/
Install the "3d-image-renderer" agent skill from https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-2-image-generator into .gemini/skills/3d-image-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3d-image-renderer", 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.
$ gh skill install hassancs91/claude-image-generation 3d-image-rendererInstalls 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).
$ npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hassancs91/claude-image-generation.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/level-2-image-generator .github/skills/3d-image-renderer && rm -rf skills-srcUse ~/.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/
Install the "3d-image-renderer" agent skill from https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-2-image-generator into .github/skills/3d-image-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3d-image-renderer", 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.
$ npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hassancs91/claude-image-generation 3d-image-renderer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hassancs91/claude-image-generation.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/level-2-image-generator .opencode/skills/3d-image-renderer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "3d-image-renderer" agent skill from https://github.com/hassancs91/claude-image-generation/tree/main/.claude/skills/level-2-image-generator into .opencode/skills/3d-image-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3d-image-renderer", 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.
3d-image-rendererGenerate PNG images by building a real Three.js 3D scene and capturing one frame headlessly — no image model involved.
3D Image Renderer is an agent skill from hassancs91/claude-image-generation. Generate PNG images by building a real Three.js 3D scene and capturing one frame headlessly — no image model involved. Takes a text prompt and an aspect ratio (1:1, 16:9, or 9:16) and produces a rendered PNG. Use this skill whenever the user asks to generate, create, or render an image, picture, scene, wallpaper, thumbnail background, or product shot with this system — especially with phrases like "generate an image of", "render a scene", "create a PNG", "no image model", "3D render of", or a prompt paired with…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `references/geometry-recipes.md`, `references/style-presets.md` and `scripts/setup.sh`).
It sits in Game Development, covering 3D graphics and WebGL, Image generation and Motion graphics. It works with Three.js. The repository describes itself as: Connect Claude to image generation with Agent Skills. Three levels: a zero-cost code-based design engine, a Three.js 3D renderer, and a real diffusion model on Cloudflare. Plus… The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f533831. It shows what the files ask for, not the result of running them.
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.
Ships 3 files in scripts/ (JavaScript and Shell), which the agent can run.
Shell commands in SKILL.md call:
bashnodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
3D Image Renderer loads about 1.4k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 192 tokens; SKILL.md has 514 words of instructions outside code blocks.
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.
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.
The full file from hassancs91/claude-image-generation at commit f533831, republished under its MIT licence (© hassancs91). 514 words, ~1,377 tokens.
.claude/skills/3d-image-renderer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Renders a text prompt into a PNG by writing a Three.js scene and capturing one frame with headless-gl under Xvfb. Think of every image as frame 0 of a TSX animation composition: deterministic, seeded, time = 2.0s.
1:1 (1080×1080), 16:9 (1920×1080), 9:16
(1080×1920). Default 16:9 if unspecified. No custom sizes.bash <skill_dir>/scripts/setup.shIdempotent; instant when cached. Installs npm deps into
/home/claude/scene-render/ and drops the bundled prebuilt gl binary in
place (compiles from source only if the binary fails its smoke test). It also
copies pipeline.mjs and validate.mjs into the workdir. If it prints
SETUP FAILED, report the error to the user — do not hand-roll a fallback.
references/style-presets.md now.references/geometry-recipes.md for any element it covers before
inventing geometry.Create /home/claude/scene-render/scene.mjs. Import ONLY from the local
pipeline — never re-implement renderer setup, pixel readback, or PNG writing:
import {
THREE, createRenderer, captureFrame, addStudioEnvironment,
seededRandom, visibleHeightAt,
} from './pipeline.mjs';
const time = 2.0; // the captured "frame"
const { renderer, glContext, W, H, OUT_W, OUT_H } =
createRenderer('16:9', { exposure: 1.15 /* from style preset */ });
const scene = new THREE.Scene();
// ... build: sky, lights, ground, hero elements (per preset + recipes) ...
await captureFrame({
renderer, glContext, scene, camera, W, H, OUT_W, OUT_H,
outPath: '/home/claude/scene-render/out.png',
});
console.log('DONE');Scene-authoring rules:
seededRandom(seed) — never Math.random().InstancedMesh for anything repeated 50+ times; per-instance color via
setColorAt + instanceColor.needsUpdate = true.geometry.rotateZ(...)) — do not stack Euler
rotations on meshes for construction.visibleHeightAt (the FOV
rule in geometry-recipes.md) BEFORE rendering.transmission, no WebGL2-only features, three stays at
0.152.2 (pinned by setup — do not upgrade).cd /home/claude/scene-render && xvfb-run -a node scene.mjsWrite a hero spec covering each prompt-named element with its dominant material color, then:
node validate.mjs out.png heroes.json[
{ "name": "flowers", "hex": "f5a8c8", "tolerance": 45, "minPct": 0.3 },
{ "name": "tree canopy", "hex": "5a9440", "tolerance": 60, "minPct": 2.0 }
]Also open the PNG with the view tool if image viewing works in this session. If it returns placeholders, rely on the validator output (histogram, ASCII map, presence checks) — it was designed for exactly that.
Fix and re-render when:
Maximum 2 fix iterations, then deliver best result and tell the user what still needs work.
cp /home/claude/scene-render/out.png "/mnt/user-data/outputs/<descriptive_name>.png"Present the PNG with present_files. Keep the summary short: style preset
used, hero elements, and any validation fixes applied. Only include
scene.mjs in the delivery if the user asks for the code.
seededRandom, fixed time = 2.0.© hassancs91, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts, references, assets) in .claude/skills/level-2-image-generator of hassancs91/claude-image-generation.
Open the folder on GitHubat commit f533831
3D Image Renderer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| 3D Image Renderer this skillhassancs91/claude-image-generation | 101 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Qiaomu Cutjoeseesun/qiaomu-cut-skill | 372 | — | ~6.8k | Automated safety check: Notes | MIT | |
| Threejs Image Generatorvalkor-ai/loom | 1.2k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Content To Videoarchitectds/modeldock | 117 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Threejs World Generationcalesthio/OpenMontage | 66k | — | ~2k | Automated safety check: Pass | AGPL-3.0 | |
| Kinetic Reeltuzhechen2005/opus-video-skills | 137 | — | ~1.8k | Automated safety check: Pass | Custom licence |
joeseesun/qiaomu-cut-skill
把一句话需求转成可复现、可验收视频工程的乔木智能剪辑导演。Use when the user asks to create, plan, edit, remix, explain, narrate, subtitle, animate, composite, or render a video—including one-line requests such as “制作一个科普视频:介绍…
valkor-ai/loom
Generate and edit 2D image assets for Three.js games with Google's Gemini image API: concept sheets, image-to-3D inputs, texture and material references, sky and background plates, decals, logos…
architectds/modeldock
Turn arbitrary source content (README, article, story, slides, deck, data/report, product description, tutorial text, audio/transcript, or a bare topic) into a finished, high-quality MP4 video.
calesthio/OpenMontage
Build deterministic, editable, free-viewpoint Three.js worlds from text or structured briefs.
tuzhechen2005/opus-video-skills
Make kinetic-typography motion reels (MP4) in code: showreels, portfolio or work reels, product promos, intro films, "motion design"-style videos with bold condensed type, HUD micro-type…
scenario-labs/skills
A skill your agent uses when turning a song into a kinetic-typography or motion-design music video, lyric video, visualizer or K-pop style MV with Scenario: a generated subject sheet, style frames…
hassancs91/claude-image-generation
Final step of the AI Storybook pipeline. An agent skill from hassancs91/claude-image-generation.
hassancs91/claude-image-generation
Generate an image from a text description using Cloudflare Workers AI (the flux-1-schnell model).
hassancs91/claude-image-generation
Generate a polished PNG graphic from a text prompt and an aspect ratio.
hassancs91/claude-image-generation
Splits a plain English story into a numbered list of SCENES — each scene being one moment that gets exactly one illustration AND one narration clip downstream.
hassancs91/claude-image-generation
Generates one expressive narration MP3 per scene for an English storybook, using the ElevenLabs MCP (texttospeech).
Works with
Categories
Generate PNG images by building a real Three.js 3D scene and capturing one frame headlessly — no image model involved. 3D Image Renderer is an agent skill from hassancs91/claude-image-generation.js 3D scene and capturing one frame headlessly — no image model involved.
3D Image Renderer fits situations like: the user asks to generate; render an image; thumbnail background; product shot with this system — especially with phrases like generate an image of.
Run `npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a claude-code`. Or copy the skill folder (.claude/skills/level-2-image-generator in hassancs91/claude-image-generation) into .claude/skills/3d-image-renderer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -a codex`. Or copy the skill folder (.claude/skills/level-2-image-generator in hassancs91/claude-image-generation) into .agents/skills/3d-image-renderer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hassancs91/claude-image-generation --skill 3d-image-renderer -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-image-renderer, .gemini/skills/3d-image-renderer, .github/skills/3d-image-renderer and .opencode/skills/3d-image-renderer in your project.
Going by SKILL.md and its folder, 3D Image Renderer needs JavaScript and a shell for the scripts in its folder and the command-line tools its instructions call (bash and node). Our summary lists: Node.js; A Bash shell.
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.
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.
3D Image Renderer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with 3D Image Renderer: Qiaomu Cut (joeseesun/qiaomu-cut-skill, 372 stars), Threejs Image Generator (valkor-ai/loom, 1.2k stars), Content To Video (architectds/modeldock, 117 stars) and Threejs World Generation (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hassancs91 (a GitHub user) maintains it in hassancs91/claude-image-generation, which has 101 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on August 18, 2026.
Source: hassancs91/claude-image-generation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.