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Found 1,849 Skills
Semantic search for Marp presentations using vector embeddings. Use when finding relevant slides by topic, retrieving slide content, or exploring presentation materials. Triggers on "find slides about...", "search presentations for...", "get slide content", "what slides cover...", or any Marp/presentation search query.
Guide for modernizing and migrating MSBuild project files to SDK-style format. Only activate in MSBuild/.NET build context. Use when encountering legacy .csproj/.vbproj files with verbose XML, packages.config, or AssemblyInfo.cs patterns. Covers legacy-to-SDK migration, removing boilerplate, PackageReference migration, and Directory.Build consolidation. Invoke when asked to modernize, migrate, or clean up project files.
Apply when implementing asynchronous payment methods (Boleto, Pix, bank redirects) or working with callback URLs in payment connector code. Covers undefined status response, callbackUrl notification, X-VTEX-signature validation, sync vs async handling, and the 7-day retry window. Use for any payment flow where authorization does not complete synchronously.
Reference HLSL shader implementations for the Slug font rendering algorithm, enabling high-quality GPU-accelerated vector font and glyph rendering.
Use when working with AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vector retrieval flows.
Install and configure react-grab to capture React component context (file path, component name, HTML markup) from any browser UI element for AI coding agents. Use when you want to point at a UI element in the browser and instantly copy its React component name, source file path, and HTML to clipboard for Claude Code, Cursor, Copilot, Gemini, or Codex. Triggers on: react-grab, grab, grab element context, copy component to ai, point and copy to claude, ui context clipboard, element to ai agent, click component copy, grab ui component, react component inspector, browser element context, component source file, copy element context, feed element to ai, element picker, grab react component, inspect element ai, component to clipboard, react devtools ai.
Watch files and directories for changes. Execute commands on change. Support for create, modify, delete events. No API key required.
Designs production-grade RAG pipelines with chunking optimization, retrieval evaluation, and pipeline architecture. Use when building a RAG system, selecting a chunking strategy, choosing a vector database, optimizing retrieval quality, designing embedding pipelines, or evaluating RAG performance with RAGAS metrics.
Read-only drift detector. Diffs SPEC.md against current code and reports violations grouped by severity. Writes nothing — suggests remedies via the spec or build skills but never invokes them. Triggers when the user asks to check drift, audit the spec, verify invariants, or ask whether code still matches the spec. Phrasings: "check drift", "audit the spec", "does the code still match §V", "check invariants", "spec vs code".
There's an AI for That (TAAFT) platform help — #1 AI tools directory (42,000+ tools, 3-4M monthly visits, DR76 dofollow, 1M+ newsletter subscribers). Covers tool submissions ($347 paid, free monthly X thread), featured PPC ads (bid-based positioning), highlighted listings, listing optimization, $300 TAAFT-first launch bonus, newsletter inclusion, and ChatGPT plugin API. Use when submitting an AI tool to TAAFT, wondering if the $347 listing is worth it, trying to get featured on TAAFT, want to optimize your TAAFT listing for clicks, comparing TAAFT with Futurepedia or Altern, or need to understand TAAFT's PPC ad system. Do NOT use for multi-directory launch coordination (use /sales-launch-directory). Do NOT use for other AI directories like Altern (use /sales-altern) or Futurepedia (use /sales-futurepedia).
Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"
Ingest and normalize market data into OHLCV vectors with HNSW indexing