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uniapp-cloud Guides uniCloud cloud development in uni-app including project setup, cloud database CRUD operations, cloud function deployment, cloud storage file management, and datacom component data binding. Use when the user needs to integrate uniCloud services, work with cloud databases, create cloud functions, or manage cloud storage in a uni-app project.
partme-ai/full-stack-skills 254
uniapp-ad Integrates uni-ad monetization into uni-app applications including banner, interstitial, rewarded video, and native ad types with event handling and placement configuration. Use when the user needs to add ad monetization, configure ad types, handle ad load/show/close/error events, or optimize ad revenue in a uni-app project.
partme-ai/full-stack-skills 254
threejs-webxr WebXR integration for three.js: WebXRManager and XRManager on the renderer, session initialization patterns, VRButton and ARButton helpers, XRControllerModelFactory and hand model families, XREstimatedLight, XRPlanes, and related addon Webxr utilities. Use for immersive sessions and controller/hand tracking—not for standard desktop camera projection (threejs-camera) or composer post effects (threejs-postprocessing).
partme-ai/full-stack-skills 254
threejs-textures three.js textures: Texture, DataTexture, CubeTexture, CompressedTexture variants, DepthTexture, VideoTexture, CanvasTexture, 3D/array textures, Source; sampling parameters, mipmaps, anisotropy, wrap/mag/min filters; PMREMGenerator in Extras for environment map prefiltering. Use when configuring GPU texture objects and PMREM; for Draco/KTX2 transcoder file paths use threejs-loaders; for material map slots use threejs-materials; for output color pipeline use threejs-renderers.
partme-ai/full-stack-skills 254
threejs-scenes three.js Scene graph root object, linear Fog and exponential FogExp2, Scene.background for solid colors or textures, and high-level environment background concepts that tie to PMREM and loaders in other skills. Use when configuring world container, atmospheric fog, or background; for HDR env map file loading use threejs-loaders; for GPU texture settings after load use threejs-textures; for tone mapping use threejs-renderers.
partme-ai/full-stack-skills 254
tui-avatar Generate and render a pixel-precise ASCII TUI Avatar component with complete output blocks (TUI_RENDER, COMPONENT_SPEC, PENCIL_SPEC, PENCIL_BATCH_DESIGN) for Pencil MCP drawing workflows. Use when the user asks to create an avatar in a terminal UI, text-based interface, or Pencil MCP project.
partme-ai/full-stack-skills 254
tui-alert-tips Generate and render a pixel-precise ASCII TUI Alert Tips component with complete output blocks (TUI_RENDER, COMPONENT_SPEC, PENCIL_SPEC, PENCIL_BATCH_DESIGN) for Pencil MCP drawing workflows. Use when the user asks to create an alert tips in a terminal UI, text-based interface, or Pencil MCP project.
partme-ai/full-stack-skills 254
tui-action-sheet Generate and render a pixel-precise ASCII TUI Action Sheet component with complete output blocks (TUI_RENDER, COMPONENT_SPEC, PENCIL_SPEC, PENCIL_BATCH_DESIGN) for Pencil MCP drawing workflows. Use when the user asks to create an action sheet in a terminal UI, text-based interface, or Pencil MCP project.
partme-ai/full-stack-skills 254
tui-04x Generate and render a pixel-precise ASCII TUI 04x Layout component with complete output blocks (TUI_RENDER, COMPONENT_SPEC, PENCIL_SPEC, PENCIL_BATCH_DESIGN) for Pencil MCP drawing workflows. Use when the user asks to create a grid layout in a terminal UI, text-based interface, or Pencil MCP project.
partme-ai/full-stack-skills 254
svelte Guides Svelte and SvelteKit development including reactive components, stores, transitions, lifecycle hooks, SSR, file-based routing, and deployment. Use when the user needs to build Svelte components, create SvelteKit applications, implement reactivity patterns, or configure Svelte with Vite.
partme-ai/full-stack-skills 254
ocrmypdf-optimize OCRmyPDF optimization skill — compress PDFs, configure PDF/A output, JBIG2 encoding, and lossless optimization. Use when the user needs to reduce PDF file size, create archival PDF/A files, or optimize OCR output.
partme-ai/full-stack-skills 254
ocrmypdf-image OCRmyPDF image processing skill — deskew, rotate, clean, despeckle, remove border from scanned documents. Use when the user needs to improve scanned PDF quality, fix skewed pages, remove noise, or clean up scanned documents before OCR.
partme-ai/full-stack-skills 254
ocrmypdf-batch OCRmyPDF batch processing skill — process multiple PDFs, Docker automation, shell scripting, and CI/CD integration. Use when the user needs to OCR many PDFs, set up automated OCR pipelines, or integrate OCR into workflows.
partme-ai/full-stack-skills 254
ocrmypdf-api OCRmyPDF Python API and plugin skill — use OCRmyPDF programmatically from Python, integrate with applications, and extend with plugins (EasyOCR, PaddleOCR, AppleOCR). Use when the user needs to call OCRmyPDF from Python code, build OCR pipelines, or use alternative OCR engines.
partme-ai/full-stack-skills 254
ocrmypdf OCRmyPDF core skill — add searchable OCR text layer to scanned PDFs, convert images to searchable PDFs, support 100+ languages via Tesseract. Use when the user needs to OCR a PDF, make a scanned PDF searchable, or extract text from scanned documents.
partme-ai/full-stack-skills 254
canvas-design Creates museum-quality visual art as .png or .pdf by first generating a design philosophy manifesto, then expressing it on canvas with precise composition, color palettes, and typography. Use when the user asks to create a poster, art piece, visual design, or static creative piece. Outputs original designs using design-forward principles.
partme-ai/full-stack-skills 254
brand-guidelines Applies Anthropic brand colors (dark #141413, orange #d97757, blue #6a9bcc, green #788c5d), Poppins headings, and Lora body text to artifacts such as presentations, documents, or visuals. Use when the user needs Anthropic brand styling, brand color application, corporate typography, or visual formatting following Anthropic design standards.
partme-ai/full-stack-skills 254
algorithmic-art Creates gallery-quality algorithmic art using p5.js with seeded randomness, interactive parameter controls, and seed navigation, outputting a single self-contained HTML artifact with Anthropic branding. Use when the user requests generative art, algorithmic art, flow fields, particle systems, or code-based visual art using p5.js.
partme-ai/full-stack-skills 254
adobe-xd Guides creation of UI/UX designs, interactive prototypes, reusable components, and design specs in Adobe XD. Use when the user asks about Adobe XD artboards, prototype links, repeat grids, component states, design tokens export, or developer handoff.
partme-ai/full-stack-skills 254
ddd4j-project-creator A comprehensive skill for creating new ddd4j (Domain-Driven Design for Java) projects based on ddd4j-boot framework. Use ONLY when the user explicitly mentions creating a ddd4j project, initializing ddd4j project, or setting up ddd4j-boot project. Supports three project types: single-module monolith, multi-module monolith, and microservices.
partme-ai/full-stack-skills 254
ddd-microservices Provides comprehensive guidance for DDD in microservices including bounded contexts, service boundaries, event-driven architecture, and microservice patterns. Use when the user asks about DDD microservices, needs to design microservices with DDD, or implement microservice architectures.
partme-ai/full-stack-skills 254
ddd-hexagonal-architecture Provides comprehensive guidance for hexagonal architecture including ports and adapters, domain isolation, and dependency inversion. Use when the user asks about hexagonal architecture, needs to implement ports and adapters pattern, or structure applications with hexagonal architecture.
partme-ai/full-stack-skills 254
ddd-event-driven Provides comprehensive guidance for event-driven architecture including domain events, event sourcing, CQRS, and event patterns. Use when the user asks about event-driven architecture, needs to implement event-driven systems, or work with domain events.
partme-ai/full-stack-skills 254
ddd-cola Provides comprehensive guidance for COLA architecture including adapter layer, application layer, domain layer, and infrastructure layer. Use when the user asks about COLA, needs to implement COLA architecture, structure applications with COLA, or work with COLA patterns.
partme-ai/full-stack-skills 254