10 Claude Code skills for Three.js 3D development — scene setup, geometry, materials, lighting, textures, animation, loaders, shaders, post-processing, and interaction
Three.js animation - keyframe animation, skeletal animation, morph targets, animation mixing. Use when animating objects, playing GLTF animations, creating procedural motion, or blending animations.
Three.js scene setup, cameras, renderer, Object3D hierarchy, coordinate systems. Use when setting up 3D scenes, creating cameras, configuring renderers, managing object hierarchies, or working with transforms.
Three.js geometry creation - built-in shapes, BufferGeometry, custom geometry, instancing. Use when creating 3D shapes, working with vertices, building custom meshes, or optimizing with instanced rendering.
Three.js interaction - raycasting, controls, mouse/touch input, object selection. Use when handling user input, implementing click detection, adding camera controls, or creating interactive 3D experiences.
Three.js lighting - light types, shadows, environment lighting. Use when adding lights, configuring shadows, setting up IBL, or optimizing lighting performance.
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Skill packs for Claude Code and other LLM agent systems, published by Entelligentsia.
| Package | Type | Description |
|---|---|---|
| forge | Meta-generator | Self-enhancing AI software development lifecycle — scans your codebase, generates project-specific workflows, personas, templates, and tools |
| security-watchdog | Security plugin | Auto-scans newly installed/updated Claude Code plugins for prompt injection, malicious hook scripts, and data exfiltration |
| design-patterns | Reference skills | Canonical software design patterns — all 23 GoF + enterprise/DDD patterns (10 skills) |
| llm-patterns | Reference skills | LLM integration patterns — RAG, tool use, agents, guardrails, tool synthesis (9 skills) |
| meta-webxr-skills | Reference skills | Meta Quest PWA XR engineering (8 skills) |
| threejs-skills | Reference skills | Three.js 3D development (10 skills) |
/plugin marketplace add Entelligentsia/skillforge
Then install whichever packs you need:
/plugin install security-watchdog@skillforge
/plugin install design-patterns@skillforge
/plugin install llm-patterns@skillforge
/plugin install threejs-skills@skillforge
/plugin install meta-webxr-skills@skillforge
/reload-plugins
Forge has its own repository. See Entelligentsia/forge for installation instructions.
Forge is different from the reference skill packages. Instead of loading knowledge into context, it generates a complete project-specific engineering practice: agent personas, workflows, templates, review checklists, and tools — all tailored to your stack.
/forge init # Bootstrap SDLC into your project
/sprint-plan # Start your first sprint (generated command)
/engineer ACME-S01-T01 # Plan a task (generated command)
See Entelligentsia/forge for the full vision and design.
| Skill / Command | Purpose |
|---|---|
/security-watchdog:scan-plugin <plugin-id> | Scan any installed plugin for prompt injection, malicious hooks, and data exfiltration |
plugin-security | Threat model and heuristics reference — attack taxonomy, severity guide, detection patterns |
Runs automatically via SessionStart hook: detects newly installed or updated plugins and prompts Claude to scan before your first request.
| Skill | Patterns Covered |
|---|---|
pattern-selection | Entry point — decision tree mapping pain to pattern |
creational | Singleton, Builder, Factory Method, Abstract Factory, Prototype |
structural | Adapter, Facade, Decorator, Proxy, Composite, Flyweight, Bridge |
behavioural | Chain of Responsibility, Command, Strategy, State, Observer, Memento, Mediator, Visitor, Iterator, Template Method |
domain-modeling | Entity, Value Object, Aggregate, Aggregate Root |
data-access | Repository, Unit of Work, Data Mapper, Active Record |
service-layer | Application Service, Domain Service, Service Layer |
domain-events | Domain Events, Transactional Outbox, eventual consistency |
cqrs | Commands, Queries, Read Models, Projections |
anti-corruption | Anti-Corruption Layer, Gateway, Strangler Fig |
| Skill | Pain It Removes |
|---|---|
pattern-selection | Entry point — decision tree for LLM integration patterns |
structured-generation | Output breaks parsers, violates schemas, varies in shape |
rag | LLM hallucinates, lacks domain knowledge, gives stale answers |
tool-use | LLM needs live data, calculations, or side effects |
agent-loop | Task requires autonomous multi-step reasoning |
guardrails | Output contains harmful content, PII, or policy violations |
prompt-engineering | Prompts are ad-hoc, untested, unversioned |
graceful-degradation | Model is down, slow, or over budget |
evaluation-harness | No way to measure quality or detect regressions |
tool-synthesis | LLM called repeatedly for tasks codifiable as deterministic tools |
npx claudepluginhub entelligentsia/skillforge --plugin threejs-skillsSelf-enhancing AI software development lifecycle — generates project-specific SDLC instances from meta-definitions
10 Claude Code skills for production LLM integration — structured generation, RAG, guardrails, prompt engineering, tool use, agent loop, graceful degradation, evaluation harness, and tool synthesis
Automatic security scanner for Claude Code plugins — detects newly installed or updated extensions and scans for prompt injection, malicious hook scripts, and data exfiltration
11 Claude Code skills for software design patterns — GoF creational, structural, and behavioural patterns plus enterprise and DDD tactical patterns (Repository, CQRS, Domain Events, Anti-Corruption Layer)
8 Claude Code skills for Meta Quest PWA XR engineering — session lifecycle, rendering, input, passthrough, anchors, layers, RATK, and PWA/Quest packaging
Comprehensive Three.js skills for building 3D web experiences
Comprehensive skill for Three.js 3D web development. Use this skill when building interactive 3D scenes, WebGL/WebGPU applications, product configurators, 3D visualizations, or immersive web experiences. Triggers on tasks involving Three.js, 3D rendering, scenes, cameras, meshes, materials, lights, animations, textures, or WebGL/WebGPU rendering.
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
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