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Found 944 Skills
Show available Kata skills, displaying the usage guide, explaining skill reference, or when the user asks for help with Kata. Triggers include "help", "show skills", "list skills", "what skills", "kata skills", and "usage guide".
Generate, search, and create images for prez presentations. AI generation via Pollinations, photo search via Unsplash/Pexels, and SVG-to-PNG rendering.
Filter Etsy stores through multiple dimensions (sales volume, favorites, reviews, store opening time, country, main category, Raving/star label, etc.) via the EHunt MCP tool `_ehunt_storeQuery` (display name: "Etsy Store Query"). Trigger this skill when users mention EHunt Etsy stores, Etsy store search, Etsy seller, Etsy store rankings, Etsy weekly sales stores, ehunt stores, Etsy store query, or _ehunt_storeQuery. Even if users don't mention EHunt, this skill should be triggered as long as they are looking for stores on Etsy, filtering store data, or analyzing store performance.
Comprehensive, standardized error response system for PHP REST APIs with SweetAlert2 integration. Use when building REST APIs that need consistent error formatting, specific error message extraction from database exceptions, validation error handling, and seamless frontend integration. Includes PDOException parsing, business rule extraction, and complete SweetAlert2 error display patterns.
Implement and configure Syncfusion MultiColumnComboBox control in Windows Forms - an advanced combobox with multiple columns in dropdown and virtual data binding for large datasets. Use when creating dropdown lists with multiple data fields, DataSource binding, DisplayMember/ValueMember configuration, or column headers in dropdown. Covers filtered dropdown lists and replacing standard ComboBox with multi-column alternatives.
Configure and optimize Vite 7 for React projects. Covers build tooling, dev server, plugins, HMR, chunk splitting, Environment API, and Rolldown integration. Use when setting up Vite, configuring builds, optimizing bundles, managing plugins, or troubleshooting dev server. Triggers on vite, vite config, vite plugin, HMR, dev server, build optimization, chunk splitting, rolldown, vite proxy, environment api, rolldown-vite.
A pixel / sprite-style animated explainer slide — full-bleed cream stage, bold display year, animated pixel-art mascot (e.g. Hanafuda card, mushroom, or 8-bit console), kinetic Japanese display type, ticking timeline ribbon. Reads like a single frame of an educational motion video — looping CSS keyframes, no JS, ready to be screen-recorded into a vertical video. Use when the brief asks for a "sprite animation", "pixel-art video", "8-bit explainer", "history of X explainer", "kinetic typography history", "Nintendo-style", "精灵图动画", "像素动画", or "复古动画".
Configure code chunking in GrepAI. Use this skill to optimize how code is split for embedding.
Creates jaw-dropping, production-ready frontend interfaces AND delivers perfectly matched real photos (Unsplash/Pexels direct links) OR flawless custom image-generation prompts for hero images, backgrounds, and illustrations. Zero AI slop, zero fake URLs.
This skill provides production-ready AI chat UI components built on shadcn/ui for conversational AI interfaces. Use when building ChatGPT-style chat interfaces with streaming responses, tool/function call displays, reasoning visualization, or source citations. Provides 30+ components including Message, Conversation, Response, CodeBlock, Reasoning, Tool, Actions, Sources optimized for Vercel AI SDK v5. Prevents common setup errors with Next.js App Router, Tailwind v4, shadcn/ui integration, AI SDK v5 migration, component composition patterns, voice input browser compatibility, responsive design issues, and streaming optimization. Keywords: ai-elements, vercel-ai-sdk, shadcn, chatbot, conversational-ai, streaming-ui, chat-interface, ai-chat, message-components, conversation-ui, tool-calling, reasoning-display, source-citations, markdown-streaming, function-calling, ai-responses, prompt-input, code-highlighting, web-preview, branch-navigation, thinking-display, perplexity-style, claude-artifacts
Production-ready VCF processing, variant annotation, mutation analysis, and structural variant (SV/CNV) interpretation for bioinformatics questions. Parses VCF files (streaming, large files), classifies mutation types (missense, nonsense, synonymous, frameshift, splice, intronic, intergenic) and structural variants (deletions, duplications, inversions, translocations), applies VAF/depth/quality/consequence filters, annotates with ClinVar/dbSNP/gnomAD/CADD via ToolUniverse, interprets SV/CNV clinical significance using ClinGen dosage sensitivity scores, computes variant statistics, and generates reports. Solves questions like "What fraction of variants with VAF < 0.3 are missense?", "How many non-reference variants remain after filtering intronic/intergenic?", "What is the pathogenicity of this deletion affecting BRCA1?", or "Which dosage-sensitive genes overlap this CNV?". Use when processing VCF files, annotating variants, filtering by VAF/depth/consequence, classifying mutations, interpreting structural variants, assessing CNV pathogenicity, comparing cohorts, or answering variant analysis questions.
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.