Total 50,540 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Enables autonomous context management for codebases through claude.md files. Use when creating, maintaining, or synchronizing AI agent context. Provides tools and workflows for monitoring context health, detecting staleness, and updating intelligently. Helps Claude work proactively as a context manager.
This skill should be used when the user asks to "use the oracle" or "ask the oracle" for deep research, analysis, or architectural questions. The oracle excels at multi-source research combining codebase exploration and web searches, then synthesizing findings into actionable answers. Use for complex questions requiring investigation across multiple sources, architectural analysis, refactoring plans, debugging mysteries, and code reviews.
Guidelines for using skills effectively - load relevant skills before complex tasks, not every message
UMPF Structured Prompt Master - Guide users to polish film-level scene solutions through in-depth multi-round conversations. Supports 7 visual engines (Photography/Print/3D/Oil Painting/Pixel/Chinese Ink/Claymation). Trigger conditions: (1) User says 'generate prompt', 'draw a...', 'help me design a scene' (2) Needs Nano banana prompt (3) User wants professional art guidance to generate images (4) Mentions UMPF or moonkite-maliang
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development.
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", or needs guidance on MCP Apps SDK patterns, UI-resource registration, MCP App lifecycle, or host integration. Provides guidance for building MCP Apps with interactive UIs.
Use when designing multi-agent systems, implementing supervisor patterns, coordinating multiple agents, or asking about "multi-agent", "supervisor pattern", "swarm", "agent handoffs", "orchestration", "parallel agents"
Enables grounded question answering by automatically executing the Google Search tool within Gemini models. Use when the required information is recent (post knowledge cutoff) or requires verifiable citation.
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
Provides guidance on choosing between Agent Teams and Sub-agents and executing complex plans with parallel coordination. Use when implementing complex features requiring multiple specialized teammates working in parallel.
explore — Deep codebase exploration with parallel agents. Use when exploring a repo or discovering architecture.