3D Image Renderer
hassancs91/claude-image-generation
Generate PNG images by building a real Three.js 3D scene and capturing one frame headlessly — no image model involved.
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…
$ npx skills add valkor-ai/loom --skill threejs-image-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install valkor-ai/loom threejs-image-generator --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/valkor-ai/loom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/shared/loom/skills/threejs/threejs-image-generator .claude/skills/threejs-image-generator && 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 "threejs-image-generator" agent skill from https://github.com/valkor-ai/loom/tree/main/plugins/shared/loom/skills/threejs/threejs-image-generator into .claude/skills/threejs-image-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threejs-image-generator", 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/valkor-ai/loom/tree/main/plugins/shared/loom/skills/threejs/threejs-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 valkor-ai/loom --skill threejs-image-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install valkor-ai/loom threejs-image-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/valkor-ai/loom.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/shared/loom/skills/threejs/threejs-image-generator .agents/skills/threejs-image-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "threejs-image-generator" agent skill from https://github.com/valkor-ai/loom/tree/main/plugins/shared/loom/skills/threejs/threejs-image-generator into .agents/skills/threejs-image-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threejs-image-generator", 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 valkor-ai/loom --skill threejs-image-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install valkor-ai/loom threejs-image-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/valkor-ai/loom.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/shared/loom/skills/threejs/threejs-image-generator .cursor/skills/threejs-image-generator && 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 "threejs-image-generator" agent skill from https://github.com/valkor-ai/loom/tree/main/plugins/shared/loom/skills/threejs/threejs-image-generator into .cursor/skills/threejs-image-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threejs-image-generator", 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/valkor-ai/loom.git --path plugins/shared/loom/skills/threejs/threejs-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 valkor-ai/loom --skill threejs-image-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install valkor-ai/loom threejs-image-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/valkor-ai/loom.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/shared/loom/skills/threejs/threejs-image-generator .gemini/skills/threejs-image-generator && 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 "threejs-image-generator" agent skill from https://github.com/valkor-ai/loom/tree/main/plugins/shared/loom/skills/threejs/threejs-image-generator into .gemini/skills/threejs-image-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threejs-image-generator", 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 valkor-ai/loom threejs-image-generatorInstalls 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 valkor-ai/loom --skill threejs-image-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/valkor-ai/loom.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/shared/loom/skills/threejs/threejs-image-generator .github/skills/threejs-image-generator && 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 "threejs-image-generator" agent skill from https://github.com/valkor-ai/loom/tree/main/plugins/shared/loom/skills/threejs/threejs-image-generator into .github/skills/threejs-image-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threejs-image-generator", 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 valkor-ai/loom --skill threejs-image-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install valkor-ai/loom threejs-image-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/valkor-ai/loom.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/shared/loom/skills/threejs/threejs-image-generator .opencode/skills/threejs-image-generator && 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 "threejs-image-generator" agent skill from https://github.com/valkor-ai/loom/tree/main/plugins/shared/loom/skills/threejs/threejs-image-generator into .opencode/skills/threejs-image-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threejs-image-generator", 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.
threejs-image-generatorGenerate 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…
Threejs Image Generator is an agent skill from 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, icons, GUI art, title and menu art, and marketing stills. Also use for direct image editing when the user supplies an image path.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml` and `scripts/generate_image.py`).
It sits in Game Development, covering 3D graphics and WebGL, Image generation and Logo and visual identity. It works with Three.js. The repository describes itself as: Loop engineering for agentic software delivery. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit a30a7e6. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Threejs Image Generator loads about 1.4k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 609 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 valkor-ai/loom at commit a30a7e6, republished under its Apache-2.0 licence (© valkor-ai). 609 words, ~1,352 tokens.
.claude/skills/threejs-image-generator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.The 2D layer for Three.js games: concepts, textures, decals, UI art, and the source images that feed threejs-3d-generator for image-to-3D.
Resolve <this-skill-dir> from the actual loaded skill file. Resolve sibling skills beside it first, then use the runner's discovered paths. Do not mix installed versions or assume a particular home directory.
For premium graphics work with generation in scope, generate the high-value 2D surfaces rather than defaulting to hand-coded CSS and flat colors. Respect explicitly procedural art and external-service restrictions. Choose assets from the game's design, not a fixed quota of logos, skies, or icons.
The script reads --api-key or GEMINI_API_KEY. Keys never go in skill files, game code, or reports.
uv run <this-skill-dir>/scripts/generate_image.py probe # GEMINI_API_KEY=SET|MISSINGKeys defined only in a shell profile can be absent from the process env. If the plain probe unexpectedly prints MISSING, use threejs-game-director/scripts/probe_asset_credentials.sh, which sources the profile and probes all three providers.
Run from the game project so output lands in it:
uv run <this-skill-dir>/scripts/generate_image.py \
--prompt "your image description" --filename assets/concepts/output.png --resolution 2K
uv run <this-skill-dir>/scripts/generate_image.py \
--input-image assets/concepts/ship.png \
--prompt "battle-worn red racing livery with clearer material zones" \
--filename assets/concepts/ship-red-livery.png --resolution 2KResolution: 1K for quick concepts, icons, and draft sheets · 2K (the default) for production references, image-to-3D, textures, backgrounds, UI panels · 4K for hero splash art, high-detail texture references, and large sky plates.
Image-to-3D reference:
Create a clean 3D-generation reference image of [asset]. Centered single object, full object visible, plain light background, readable silhouette, clear material zones, game-ready [genre/style], no motion blur, no cropped parts, no text.
Riggable character or creature:
Create a full-body [T-pose / A-pose / side-view creature] reference for 3D rigging: [details]. Symmetric stance, visible hands/feet/limbs, plain background, readable costume and anatomy layers, no weapon fused to hands.
Texture or material:
Create a seamless game texture reference for [surface]. Orthographic top-down, PBR-friendly albedo, clear material variation, no perspective, no baked strong shadows, [style details].
Logo, icon, or UI art:
Create a crisp game UI [logo/icon/badge/panel] for [faction/item/ability]. Transparent-friendly silhouette, high contrast at small size, [genre styling], no tiny unreadable text.
Sky or background:
Create a wide game background plate of [environment]. Layered depth, readable horizon, [time/weather/style], suitable behind a real-time Three.js scene, no foreground subject.
Save concepts and image-to-3D sources under assets/concepts/; textures, decals, icons, and GUI sources under assets/textures/, assets/decals/, or assets/ui/. Hand image-to-3D sources to threejs-3d-generator by path.
Convert PNGs to runtime formats deliberately: PNG where alpha matters (UI, icons, decals), JPG/WebP/KTX2 for larger opaque textures where the pipeline supports it. The API is a tooling step — never called from game code.
Inspect the image before spending on image-to-3D or dependent variants. Check how runtime images look in the game, not just that the file was written. Preserve useful existing images when the user changes requirements, and update the project note instead of regenerating everything.
For coordinated games use the director's references/asset-recovery.md. Missing credentials or exhausted credits permit an honest local alternative; a transient error does not. Distinguish invalid input and authentication from service failures. Do not blindly retry an uncertain paid generation: preserve existing files and reconcile the provider result first. This command has no Tripo-style task resume interface. Continue independent game work while only the dependent image work is blocked.
Prompt and purpose, output path, resolution, whether it was used directly, edited further, or handed to threejs-3d-generator, and any remaining work such as compression, UV assignment, alpha cleanup, or atlas packing.
© valkor-ai, Apache-2.0. 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 2 other files (scripts) in plugins/shared/loom/skills/threejs/threejs-image-generator of valkor-ai/loom.
Open the folder on GitHubat commit a30a7e6
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in valkor-ai/loom, which our catalogue first saw on October 7, 2026.
Threejs Image Generator 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 |
|---|---|---|---|---|---|---|
| Threejs Image Generator this skillvalkor-ai/loom | 1.2k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| 3D Image Rendererhassancs91/claude-image-generation | 101 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Fal Regenerate 3Dfal-ai-community/skills | 250 | — | ~1.6k | Automated safety check: Pass | None | |
| Threejs 3D Generatorcorosolto/client | 257 | — | ~3.4k | Automated safety check: Pass | AGPL-3.0 | |
| Qiaomu Cutjoeseesun/qiaomu-cut-skill | 372 | — | ~6.8k | Automated safety check: Notes | MIT | |
| Content To Videoarchitectds/modeldock | 117 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
hassancs91/claude-image-generation
Generate PNG images by building a real Three.js 3D scene and capturing one frame headlessly — no image model involved.
fal-ai-community/skills
Build a fully-interactive 3D character-selector experience powered entirely by fal.ai.
corosolto/client
Generate, texture, rig, animate, stylize, convert, and download 3D assets for Three.js games using the Tripo API.
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…
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.
img2threejs/img2threejs
Rebuilds the object in a reference image as a procedural, animation-ready Three.js model written entirely in code, using staged sculpting with quality checks.
valkor-ai/loom
Build and iterate playable Three.js game systems: starter scaffold, architecture, design briefs, core loops, level and encounter design, entities, input, camera, collision and physics, scoring…
valkor-ai/loom
Generate, texture, rig, animate, stylize, convert, and download 3D assets for Three.js games via the Tripo API.
valkor-ai/loom
Entrypoint for building, upgrading, and finishing Three.js browser games.
valkor-ai/loom
Generate, convert, clean, and integrate audio for Three.js browser games with ElevenLabs: sound effects, looping ambience, UI sounds, impact/weapon/vehicle audio, creature and boss stingers…
valkor-ai/loom
Verify and release Three.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots…
valkor-ai/loom
Upgrade Three.js games from prototype visuals to premium browser graphics: art-direction critique, procedural model building, material and texture libraries, world prop kits, shaders, VFX, lighting…
Works with
Categories
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…. Threejs Image Generator is an agent skill from valkor-ai/loom.js games with Google's Gemini image API: concept sheets, image-to-3D inputs, texture and material references, sky and background plates, decals, logos, icons, GUI art, title and menu art, and marketing stills.
Threejs Image Generator fits situations like: direct image editing when the user supplies an image path; tasks that involve 3D graphics and WebGL; tasks that involve Image generation.
Run `npx skills add valkor-ai/loom --skill threejs-image-generator -a claude-code`. Or copy the skill folder (plugins/shared/loom/skills/threejs/threejs-image-generator in valkor-ai/loom) into .claude/skills/threejs-image-generator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add valkor-ai/loom --skill threejs-image-generator -a codex`. Or copy the skill folder (plugins/shared/loom/skills/threejs/threejs-image-generator in valkor-ai/loom) into .agents/skills/threejs-image-generator 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 valkor-ai/loom --skill threejs-image-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/threejs-image-generator, .gemini/skills/threejs-image-generator, .github/skills/threejs-image-generator and .opencode/skills/threejs-image-generator in your project.
Going by SKILL.md and its folder, Threejs Image Generator needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. 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.
Threejs Image Generator 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.
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Threejs Image Generator: 3D Image Renderer (hassancs91/claude-image-generation, 101 stars), Fal Regenerate 3D (fal-ai-community/skills, 250 stars), Threejs 3D Generator (corosolto/client, 257 stars) and Qiaomu Cut (joeseesun/qiaomu-cut-skill, 372 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
valkor-ai (a GitHub organization) maintains it in valkor-ai/loom, which has 1,211 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.
Source: valkor-ai/loom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.