Route ambitious Three.js graphics work to the smallest expert skill set. Use for new visual experiences, graphics rewrites, reference matching, or requests spanning geometry, materials, atmosphere, shadows, temporal effects, and final image treatment.
npx skills add https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-skill-router
Treat the model's Three.js knowledge and official documentation as prerequisites. Load only the expertise that changes the visual result.
| Required result | Load |
| --- | --- |
| shot composition, chase/side/orbit rigs, camera handoffs, projection ownership, pointer look, floating origins | $threejs-camera-direction |
| launch and docking timelines, procedural transform phases, springs, staging, rotating-frame alignment, debris motion | $threejs-procedural-animation |
| reusable scalar/vector fields, domain warping, causal masks, procedural normals | $threejs-procedural-fields |
| atlas-filtered blocks, planetary surfaces, hybrid texture-backed PBR soil/moss with procedural displacement and masks, ground and model moss accumulation, terrain wetness, lava/emissive surfaces, authored frame PBR, specular AA | $threejs-procedural-materials |
| height-field ray marching, silhouette-aware POM, curved relief shells, relief self-shadowing | $threejs-parallax-occlusion-mapping |
| complete hard-surface object assemblies, procedural vehicles, parameter-curve section tracks, tilted shell lofts, UV-owned apertures, spanwise airfoil lofts, sculpted rails/frames, branch rings, fin lofts, semantic mesh writers, material slots and groups | $threejs-procedural-geometry |
| trees, surface-following ivy, painted vines, stylized grass, GPU-computed grass, roots, foliage, rooted wind deformation | $threejs-procedural-vegetation |
| buildings, façade grammars, profiles, ornaments, modular mesh writers | $threejs-procedural-architecture |
| planets, terrain, craters, biome fields, coastlines, spherical detail | $threejs-procedural-planets |
| sky scattering, planetary shells, depth-based aerial perspective | $threejs-atmosphere-aerial-perspective |
| weather-driven raymarched clouds and cloud shadows | $threejs-volumetric-clouds |
| FFT oceans, hybrid FFT/Gerstner clear water, stylized above/below ocean optics, submerged Snell windows, total internal reflection, forward-refracted structures, pixel-footprint spectral LOD, aquatic perspective, caustic god rays, spectral cascades, choppy derivatives, Jacobian whitecaps | $threejs-spectral-ocean |
| authored analytic waves, bounded heightfield pools, object ripples, differential-area caustics, ray-traced pool volume optics, shared normals, heuristic refraction, fallback absorption, crest foam | $threejs-water-optics |
| falling snow, snow accumulation, model snow caps, wet asphalt puddles, procedural ripple normals, splash flipbooks, rain streaks, shared weather envelopes, surface wetness | $threejs-precipitation-surfaces |
| curved-ray black holes, accretion disks, wormholes | $threejs-raymarched-space-effects |
| raymarched aurora curtains, finite-footprint emissive slabs, uniform volume integration, equirectangular radiance probes, WebGPU voxel fire and smoke, volumetric fluid fields, mesh-surface emitters, SDF fire collisions, particles, trails, plasma, shockwaves, holographic projections, Fresnel rim shells, scanline banding, layered event effects | $threejs-procedural-vfx |
| accumulated screen frost, touch clearing, wet-window rain, view-aligned droplet refraction and blur | $threejs-temporal-surfaces |
| stable large-world shadows, cascades, clipmaps, cached updates | $threejs-shadow-systems |
| GTAO, bent normals, bilateral reconstruction | $threejs-screen-space-ambient-occlusion |
| HDR bloom and selective emission contribution | $threejs-bloom |
| eye adaptation, tone mapping, LUT grading, output color | $threejs-exposure-color-grading |
| shared depth/normal/velocity ownership and multi-pass ordering | $threejs-image-pipeline |
| fixed-view diagnostics, seed sweeps, temporal and budget evidence | $threejs-visual-validation |
For a new procedural scene:
$threejs-camera-direction when framing, lens, camera frame, or mode transitions affect the target.$threejs-procedural-animation when object motion requires authored phases, moving frames, or spring convergence.$threejs-procedural-fields when multiple visual channels must share coherent structure.$threejs-image-pipeline last.$threejs-visual-validation for a deterministic evidence set.A routed task is incomplete until the implementation exposes:
agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频。覆盖场景包括:生成(文生图、文生视频、图生视频、做动画、画一个xxx、来段xxx)、编辑修改(把xxx换成yyy、去掉xxx、加上xxx、改成xxx、调整xxx、局部修改、改镜头)、风格转换(风格迁移、转绘、换风格)、视频续写延长、复刻视频/TVC/宣传片、短剧/短漫剧生成、音乐MV生成、产品广告/展示片制作、分镜/故事板设计、教育视频/短视频制作。当用户提到 liblib、libtv、上传参考图/视频、查看生成进度时也应触发。关键判断:只要用户的请求涉及 AI 图片或视频的创作、生成、编辑、修改,无论措辞如何(如"画只猫"、"做个海报"、"把纸船换成爱心"、"这个视频帮我改一下"、"帮我复刻这段视频"、"用这首歌做个MV"、"一句话生成短剧"),都必须触发此技能。
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成", "AI视频", "短剧", "广告视频", "视频延长", or discusses video prompt engineering, AI video generation, or Seedance 2.0 workflows.
Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strategies. Learn: shot types, camera movements, lighting, pacing, style keywords, negative prompts. Use for: improving video quality, getting consistent results, professional video prompts. Triggers: video prompt, how to prompt video, veo prompts, video generation tips, better ai video, video prompt engineering, video prompt guide, video prompt template, ai video tips, video prompt best practices, video prompt examples, cinematography prompts
This skill is a practical, 'use-it-while-debugging' reference for getting a LiveKit + Letta voice agent working reliably.
Download screenshot baselines from the latest CI run and commit them. Use when asked to update, accept, or refresh component screenshot baselines from CI, or after the screenshot-test GitHub Action reports differences. This skill should be run as a subagent.
| Turn vague taste, screenshots, URLs, product notes, or "make it feel like this" references into a grounded DESIGN.md plus an implementation handoff. Use it before prototypes, decks, redesigns, or image remix work when the user needs a reusable visual direction rather than a one-off prompt.
>- Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch project. ALWAYS use this skill when you need to upload visual assets, HTML pages, or design docs to Stitch, particularly when direct MCP tool calls fail or truncate due to base64 token limits.
This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API. Agent should proactively apply this skill when users express needs like extracting channel video data, getting latest or popular videos from a YouTube channel, tracking competitor channel content, extracting video metrics such as views likes comments, retrieving subscriber count and channel info, monitoring posting cadence of a YouTube channel, gathering video data for content strategy analysis, getting earliest videos of a YouTube creator, analyzing engagement signals across a full channel, and downloading structured YouTube video details without manual scraping.
Take scottstts/threejs-skill-router from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.