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Found 315 Skills
Automatically injects the project's extracted design soul into any frontend task. Use this skill on EVERY request that involves building, editing, or reviewing UI — including components, pages, layouts, styles, animations, and design decisions. Triggers on: any prompt containing words like "build", "create", "make", "design", "component", "page", "layout", "button", "form", "card", "nav", "header", "modal", "style", "css", "tailwind", "animate", "responsive", "ui", "frontend", "screen", "dashboard", "landing", "section", or any request to write JSX, TSX, HTML, or CSS. Do NOT trigger on backend-only tasks, database queries, API routes with no UI, or pure logic/utility functions with no visual output. This skill has no slash command — it runs silently in the background on every frontend task. The user never needs to invoke it manually.
A skill that implements the SDD-RIPER methodology into strictly executable processes. It is applied in code/architecture tasks for "function-level and project-level CodeMap generation, full-modal requirement context bundling, Spec-driven R&D, and RIPER phase gate advancement", and is suitable for multi-round collaborative development with Claude/Codex/other CLI Agents.
DeepMind Researcher: AGI through deep understanding, AlphaGo/AlphaZero RL, AlphaFold scientific discovery, Gemini multimodal, neuroscience-inspired architectures. Scientific rigor + industrial scale. Triggers: DeepMind research, AlphaGo algorithms, protein folding AI, scientif...
Runs comprehensive WCAG-oriented web accessibility audits using Chrome DevTools MCP (Lighthouse desktop and mobile, custom evaluate_script heuristics, keyboard focus and modals, a11y snapshot vs DOM parity, 320px reflow, touch targets, structured markdown reports). Use when auditing websites for accessibility, WCAG, a11y, inclusive design, Lighthouse or axe findings, screen reader parity, focus visibility, or Chrome DevTools MCP audit workflows.
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
Use when implementing route changes, view transitions, modal opens/closes, or navigation animation in web and mobile applications.
Web animations with Motion (formerly Framer Motion) for React -- gestures, scroll effects, spring physics, layout animations, SVG, micro-interactions, loading states. Use when: drag-and-drop, scroll animations, modals, carousels, parallax, page transitions, hover effects, staggered lists, loading spinners, number counters. Troubleshoot: AnimatePresence exit, list performance, Tailwind conflicts, Next.js "use client", layout in scaled containers.
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
UI interaction design patterns for skeleton loading, infinite scroll with accessibility, progressive disclosure, modal/drawer/inline selection, drag-and-drop with keyboard alternatives, tab overflow handling, and toast notification positioning. Use when implementing loading states, content pagination, disclosure patterns, overlay components, reorderable lists, or notification systems.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications, OR when they provide screenshots/images/designs to replicate or draw inspiration from. For screenshot inputs, extracts design guidelines first using ai-multimodal analysis, then implements code following those guidelines. Generates creative, polished code that avoids generic AI aesthetics.
Implement modal and modeless dialogs using Syncfusion Blazor Dialog component. Use this skill when creating dialogs, popup windows, modal confirmations, custom forms, or interactive overlay windows. Covers templates, events, positioning, animations, accessibility, and advanced customization.
Generate a single-file interactive HTML code-review artifact for a GitHub PR. Fetches the diff via the gh CLI, performs an honest severity-coded self-review, and renders an artifact with: collapsible per-file diffs with colored inline annotations, severity filter chips, per-finding checkboxes, and a "Create feedback prompt" modal that aggregates the checked items into a paste-ready follow-up prompt ending with "Please address this feedback. Address each individual item in its own conventional commit." Use this skill whenever the user wants to review a pull request visually, asks for an HTML or static review artifact, says "review PR", "review this PR", "build a PR review", wants color-coded findings, feedback aggregation, or a review file they can share — even if they don't explicitly say "HTML". Also trigger on "code review artifact", "interactive review", "feedback prompt for a PR", or when the user mentions reviewing a specific PR number.