Total 50,537 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Implement session-based recommendation from short-term user behavior sequences without long-term profiles. Use this skill when the user needs to recommend in anonymous sessions, predict next click from browsing sequence, or build recommendations for non-logged-in users — even if they say 'what should they click next', 'anonymous user recommendations', or 'browsing sequence prediction'.
Build employee turnover prediction models to identify flight risk and retention drivers. Use this skill when the user needs to predict which employees are likely to leave, identify retention risk factors, or prioritize HR interventions — even if they say 'attrition prediction', 'who is going to quit', or 'employee retention model'.
AscendC Operator Design Completion - Assist users in completing operator architecture design, interface definition, and performance planning. Use this skill when users mention operator design, operator development, tiling strategy, memory planning, AscendC kernel design, two-level tiling, inter-core splitting, or intra-core splitting.
Generate 3D CGI and rendered video prompts for Seedance 2.0 (Higgsfield). Use this when users want 3D rendering, CGI, Pixar-style, Unreal Engine, photorealistic 3D, computer-generated, or digitally rendered video content. Trigger words: 3D animation, CGI, rendering, Blender, Unreal Engine, octane render, ray tracing, volume, subsurface scattering, physically based rendering, or any 3D/CG video request. Use this even if the user only says "make it look 3D" or describes a rendering aesthetic.
为 Seedance 2.0（Higgsfield）生成时尚造型书、模特展示和风格视频提示。在用户想要时尚视频内容、造型书视频、模特走秀、服装展示、风格指南、时尚活动、跑道片段、街头风格内容或任何时尚/服装视频时使用。在以下情况下触发：时尚视频、造型书、模特展示、服装、风格指南、时尚活动、跑道、街头风格、系列发布、时尚广告、服装视频、OOTD、时尚电影或任何时尚/模特视频请求。即使是"展示这件服装"或"为我的品牌提供时尚内容"也适用。
Generate prompts for music videos and beat-synced visual content for Seedance 2.0 (Higgsfield). Use this when users want to create music videos, lyric videos, beat-synced visuals, performance videos, concert visuals, album art animations, or music-driven visual content. Trigger conditions: music video, lyric video, beat sync, music visualization, performance video, concert visual, album visual, song video, music clip, beat drop visual, rhythm sync, or any music-driven video request. Even phrases like "make visuals for my song" or "video for this track".
Maps observable MEV searcher behavior and infrastructure from public bundles, blocks, and traces—EVM builder/relay patterns, Solana Jito bundles, strategy fingerprints, profit consolidation paths, and concentration metrics. Use when the user asks for MEV bot analysis, searcher clustering, bundle/builder mapping, private-order-flow research questions, or ecosystem centralization studies—not for running competitive bots, mempool manipulation, or harassing operators.
Guide for creating, improving, benchmarking, and packaging Claude Agent Skills (SKILL.md files). Invoke when users want to create a skill from scratch, improve or test an existing skill, benchmark skill performance with variance analysis, or optimize a skill description for triggering accuracy. Also invoke when users say "turn this into a skill", "make a skill for X", "help me write a SKILL.md", "my skill isn't firing correctly", or want to convert a workflow/conversation into a reusable skill. Invoke proactively when a conversation has produced a repeatable workflow worth capturing. If the user mentions SKILL.md, skill files, skill descriptions, or skill triggering, this skill applies.
Conduct deep research on any topic — get comprehensive reports with citations, key findings, and actionable insights in minutes. Use when user wants to "deep research", "research this", "investigate", "analysis report", "深度研究", "调研", "リサーチ", "심층 연구".
Create and manage agentic wallets with Cobo. Use for autonomous onchain operations via the caw CLI: token transfers, contract calls, pact creation and approval, DeFi execution (Uniswap, Aave, Jupiter), and wallet onboarding on EVM chains and Solana. Triggers on requests involving caw, MPC wallet, TSS node, agent wallet, Cobo, pact, or any crypto wallet operation for AI agents. NOT for fiat payments or bank transfers.
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.
When the user wants to optimize multiple conflicting objectives, find Pareto-optimal solutions, or balance trade-offs between cost, service, quality, and sustainability. Also use when the user mentions "multi-objective," "Pareto optimization," "NSGA-II," "trade-off analysis," "scalarization," "weighted objectives," "goal programming," or "multiple criteria optimization." For single objective, see optimization-modeling.