Total 50,370 skills, AI & Machine Learning has 8464 skills
Showing 12 of 8464 skills
Generate and edit images using AI. Use when the user asks to "generate an image," "create an image," "make a picture," "edit this image," "modify this image," or when building UI that needs visual assets like hero images, icons, or illustrations.
AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase web research). Supports persistent threads and research sessions.
Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.
Dispatch background AI worker agents to execute tasks via checklist-based plans.
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.
Two-way integration channel between WeChat and OpenClaw. Implements WeChat message receiving and sending based on Wechaty + PadLocal, supporting private chats, group chats, @mention detection, and image/file transfer. Use this skill when you need to interact with AI assistants via WeChat, trigger AI responses by receiving WeChat messages, or send messages from OpenClaw to WeChat.
Design progressive learning sequences that build foundational understanding before complexity. Use when breaking complex concepts into steps, managing cognitive load, or validating prerequisite understanding. Applies Bloom's progression and tier-based cognitive limits (CEFR A1-C2).
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
Comprehensive deep learning guidelines for neural network development, training, and optimization.
Real-time cryptocurrency sentiment analysis using Twitter/X via Grok. Use when analyzing crypto sentiment, tracking whale activity, or gauging market fear/greed.