Total 51,086 skills, AI & Machine Learning has 8556 skills
Showing 12 of 8556 skills
Build agents for legal document analysis, contract review, and compliance checking. Handles document parsing, risk identification, and legal research. Use when creating contract analysis tools, legal research assistants, compliance checkers, or document review systems.
Deep codebase exploration. Triggers: research, explore, investigate, understand, deep dive, current state.
Configure Tavus CVI personas with custom LLMs, TTS engines, perception, and turn-taking. Use when customizing AI behavior, bringing your own LLM, configuring voice/TTS, enabling vision with Raven, or tuning conversation flow with Sparrow.
Execute all plans in a phase with wave-based parallelization, running phase execution, or completing phase work. Triggers include "execute phase", "run phase", "execute plans", "run the phase", and "phase execution".
Generate multiple coherent images and videos in batches based on users' creative/story ideas, and present them in the form of a professional storyboard. It supports advanced features such as single shot regeneration, image-to-video conversion, and video generation from first and last frames. Suitable for scenarios like short video scripts, animation storyboards, advertising creativity, and story visualization.
Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Deploy and serve TensorFlow models
Named Tmux Manager - Multi-agent orchestration for Claude Code, Codex, and Gemini in tiled tmux panes. Visual dashboards, command palette, context rotation, robot mode API, work assignment, safety system. Go CLI.
Expert guidance for researching, documenting, and integrating Model Context Protocol (MCP) servers and tools. Covers MCP architecture, server/client implementation patterns, tool discovery, integration workflows, security best practices, and multi-language SDK usage (Python, TypeScript, C#, Java, Rust). Enables seamless integration of MCP tools into Claude Code and AI applications.
Large Language Model development, training, fine-tuning, and deployment best practices.
Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana). Use for image generation, crafting photo prompts, art styles, or multi-turn editing workflows with best practices.
Build AI-powered Ruby applications with RubyLLM. Full lifecycle - chat, tools, streaming, Rails integration, embeddings, and production deployment. Covers all providers (OpenAI, Anthropic, Gemini, etc.) with one unified API.