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Found 3,180 Skills
Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector search, embeddings, semantic search.
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.
Expertise senior/lead React developer 20 tahun dengan TanStack ecosystem (Query, Router, Table, Form, Start). Gunakan skill ini ketika: (1) Membuat aplikasi React dengan TanStack libraries, (2) Review/refactor kode React untuk clean code, (3) Debugging React/TanStack issues, (4) Setup project structure yang maintainable, (5) Optimasi performa React apps, (6) Memilih library yang tepat untuk use case tertentu, (7) Mencegah common bugs dan memory leaks, (8) Implementasi best practices KISS dan less is more. Trigger keywords: React, TanStack, React Query, TanStack Router, TanStack Table, TanStack Form, TanStack Start, Vinxi, clean code, refactor, performance, debugging.
Subscribe to realtime changes in Supabase using WebSocket connections. Use for listening to database changes, presence tracking, and broadcast messaging.
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.
This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.
股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格（价值/成长/困境反转）、持有周期（短/中/长线）、风险偏好、研究重点，生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。
Comprehensive guide for this Neovim configuration - a modular, performance-optimized Lua-based IDE. Use when configuring plugins, adding keybindings, setting up LSP servers, debugging, or extending the configuration. Covers lazy.nvim, 82+ plugins across 9 categories, DAP debugging, AI integrations, and performance optimization.
Builds interactive HTML presentation with 6 tabs (Overview, Requirements, Architecture/C4, Tech Spec, Roadmap, Guides). Creates presentation/README.md hub. L2 Worker under ln-100-documents-pipeline.
Plans automated tests (E2E/Integration/Unit) using Risk-Based Testing after manual testing. Calculates priorities, delegates to ln-301-task-creator. Worker for ln-510.
Pack entire codebases into AI-friendly files for LLM analysis. Use when consolidating code for AI review, generating codebase summaries, or preparing context for ChatGPT, Claude, or other AI tools.