codex-marketplace

Animation & motion expertise across four domains: UI motion, creative/generative, 3D animation, and programmatic video. Backed by 21 reference source repos and specialized agents grounded in real implementations.

Makes Claude Code extraordinarily good at transforming websites into applications: converting page-based Next.js sites into app-like experiences with persistent layouts, command palettes, and background sync; wrapping them in Tauri desktop shells with native OS integration; and producing architecture handoffs for native Swift/AppKit macOS apps.

Mobile app development specialist: PWA retrofitting, React Native architecture, offline-first sync, mobile API design, touch optimization, and mobile visualization adaptation.

Makes Claude Code genuinely good at designing knowledge-graph answer experiences with cosmos.gl on top of DuckDB-WASM, Mosaic, and vgplot. Owns the SceneDirective adapter, the three-picker ControlDock (Position, Weight, Edges), and the recipe library that turns novel ideas into usable images.

Makes Claude Code extraordinarily good at building D3 visualizations that are mathematically accurate, physically believable, and aesthetically grounded in the Mike Bostock / Observable canon.

Full-stack Django development toolkit. Skills for backend architecture (models, views, APIs, auth, deployment) and frontend integration (HTMX, Alpine.js, Tailwind CSS, D3, django-cotton components, design systems). Commands for scaffolding projects, apps, APIs, and components. Agents for architecture review, API design review, frontend integration review, migration safety, and performance profiling.

Django backend mastery: model architecture, ORM optimization, API design (DRF + Ninja), django-polymorphic patterns, MCP server construction, scientific Python integration, and Pydantic v2 mapping. Source-code-backed with Django ORM internals, DRF, Ninja, django-polymorphic, django-mcp-server, django-model-utils, django-pandas, django-filter, Pydantic v2, PydanticAI, and dj-notebook.

ML engineering plugin: build, train, debug, and deploy machine learning systems with verified API knowledge. 5 domain-expert agents (model-architect, training-engineer, ml-debugger, graph-engineer, systems-optimizer), 6 reference files, 5 runnable templates, and 4 workflow commands.

Next.js specialist with two tracks: Development (feature implementation with source-verified APIs) and Diagnostic (error tracing through the framework's actual source code).

Epistemic engineering plugin organized around the CS disciplines required to build systems for structured understanding — grounded in framework source code and the research_api epistemic engine. Provides 4 workflow commands (/reason, /graph, /encode, /gather) and 12 domain-expert agents across information retrieval, NLP, knowledge representation, graph theory, causal inference, probabilistic reasoning, self-organization, program synthesis, and software architecture.

Git and deployment automation with verification at every step. Staged file review, conventional commits, pre-commit checks, push with CI/CD detection, and post-deploy health verification.

Convert natural-language specs into deviation-resistant MUST/MUST NOT/VERIFY format and enforce compliance protocol during implementation sessions.

Enforce specification compliance via PreToolUse hooks. Checks every edit against the active spec document and blocks deviations before they land.

Native iOS and macOS development plugin with deep expertise in SwiftUI, Swift 6 concurrency, SwiftData, XcodeBuildMCP integration, and Apple platform conventions.

Intelligence engineering plugin for building systems that learn from their own operation. Successor to SciPy-Pro v4. Provides 7 workflow commands (/reason, /graph, /train, /architect, /simulate, /measure, /learn), 24 domain-expert agents across three tiers, and compound-learning + enrichment-pipeline guidance for EpiGNN, KGE RotatE, SBERT, GL-Fusion, model-swarm routing, and network effects.

Three.js, React Three Fiber, and D3+Three.js hybrid visualization plugin. NPR sketch rendering, instanced data viz, scroll-driven cameras, and the pmndrs ecosystem.

UI design theory and implementation toolkit combining visual design principles (Gestalt, Fitts's Law, WCAG 2.2, screen archetypes) with source-code-backed component engineering (Radix, CVA, Motion, shadcn v4, Tailwind). Includes design rationale workflow and Claude.ai chat companion skill.

UX expertise plugin covering research, information architecture, interaction design, accessibility, usability testing, content design, and service design. Backed by 15 reference source repos from real design systems and accessibility tools.

Visual design system plugin for Theseus VIE. Enforces the VIE design language across the D3 layout -> TF.js intelligence -> R3F rendering pipeline. Manages the datadot grid, engine heat gradient, Mantine-sourced material tokens, borrowed Ink UI interaction patterns, and design primitives (Sonner, Vaul, CMDK). Ensures answer construction sequences are beautiful and interactive.