Total 55,338 skills, AI & Machine Learning has 9196 skills
Showing 12 of 9196 skills
An AI Agent Skill that enforces a 'Risk Triage -> Align -> Act' protocol. Triggers when requests are vague, conflict-ridden, or high-impact. Do not activate for low-risk or precise, scoped requests.
Structures presentations and verbal pitches using Matt Abrahams' WHAT-SO WHAT-NOW WHAT framework and impromptu speaking techniques. Use when preparing presentations, creating talking points, or practicing difficult conversations.
Expert in primary school mathematics test question imitation, capable of analyzing the knowledge domains, core concepts, mathematical thinking methods, difficulty levels and cognitive requirements of primary school mathematics questions, and generating equivalent alternative test questions and various variant questions
Expert in emotional support and psychological comfort, skilled in listening, empathy, and providing warm psychological guidance.
This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture session intelligence". Transforms one-time fixes into permanent organizational knowledge by implementing updates across multiple files.
Comprehensive antibody engineering and optimization for therapeutic development. Covers humanization, affinity maturation, developability assessment, and immunogenicity prediction. Use when asked to optimize antibodies, humanize sequences, or engineer therapeutic antibodies from lead to clinical candidate.
Query popular post information from Moltbook (Agent Community). Use this skill when users want to query hot posts, latest discussions, and trending topics in the Agent Community.
Sequential Thinking MCP and UltraThink mode for deep analysis, complex problem decomposition, and structured reasoning workflows. Use when performing multi-step analysis, architecture decisions, technology selection trade-offs, breaking change assessment, or when --ultrathink flag is specified. Do NOT use for simple decisions or straightforward implementation tasks.
Deploy OpenClaw AI agent platform on Alibaba Cloud ECS and integrate with DingTalk bot. OpenClaw (formerly Clawdbot/Moltbot, 中文名"龙虾") is an open-source AI assistant and automation platform supporting natural language-driven task automation with multi-channel chat integration. This Skill covers the full workflow from ECS instance creation, public network configuration, base environment setup, one-click OpenClaw deployment to DingTalk bot verification. End users can chat with the AI assistant by @mentioning the bot in a DingTalk group. Triggers: "OpenClaw", "龙虾", "Clawdbot", "Moltbot", "DingTalk bot", "DingTalk AI", "deploy OpenClaw on ECS", "AI agent platform", "DingTalk integration", "openclaw dingtalk", "openclaw deploy", "DingTalk AI employee", "Alibaba Cloud OpenClaw", "Bailian + DingTalk", "DingTalk group AI", "DingTalk smart assistant", "部署龙虾", "龙虾机器人", "龙虾钉钉"
Use when the user needs to build MCP (Model Context Protocol) servers — tool definitions, resource management, prompt templates, transport layers, and client integration. Triggers: user says "MCP", "MCP server", "model context protocol", building tools for AI clients, creating AI integrations.
Generate and manage provider-backed video renders for short-form production. Use this when approved upstream assets or prompt plans already exist and you need local render manifests, downloaded video files, and replaceable routes for talking-head or Seedance generation without losing continuity across concepts and personas.
Use the unified Opper SDKs (`opperai` package for both Python and TypeScript, with built-in agent support) for AI task completion, structured output with Pydantic / Zod / JSON Schema, knowledge base semantic search, streaming, tracing, tool use, and multi-agent composition. Use this skill whenever the user is writing Python or TypeScript code that imports `opperai`, builds an Opper agent, or asks how to do anything Opper-related in code — even if they don't explicitly name the SDK. Both languages live in one repo with parallel numbered examples; agents are part of the SDK, not a separate package.