Total 32,067 skills, AI & Machine Learning has 5179 skills
Showing 12 of 5179 skills
Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator
Agent Skill creation workflow. Use when creating new reusable AI agent skills, scaffolding skill directories, or converting existing guides into the portable Agent Skills standard format.
Computer Use Agent (CUA) for macOS automation using TuriX. Use when you need to perform visual tasks on the desktop, such as opening apps, clicking buttons, or navigating UIs that don't have a CLI or API.
Create or update role-specific skill packages with deterministic files. Supports output to skills/ (open-source publishing) or .agents/teams/ (team use). Triggers: 创建角色, 新建 role, create role, 更新 role scope, edit role, update role, add role skill, 修改角色配置. Use when the user asks to create, update, or edit frontend/backend/product (or custom) role skills with auto-generated role fields, guided brainstorming fallback, and curated skills selection.
DeepSeek AI large language model API via curl. Use this skill for chat completions, reasoning, and code generation with OpenAI-compatible endpoints.
Migrate memory blocks from an existing agent to the current agent. Use when the user wants to copy or share memory from another agent, or during /init when setting up a new agent that should inherit memory from an existing one.
Step-by-step guide for openclaw users to build, deploy, and monetise an AI agent with aixyz. Covers everything from zero: installing Bun, scaffolding an agent, choosing a deployment option, getting a crypto wallet, funding it for on-chain registration, and marketing your agent once it is live.
Reasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting
Repository structure methodology for maximum AI agent effectiveness. Three pillars — context engineering (repo as knowledge product), architectural constraints (deterministic enforcement), garbage collection (active entropy fighting). Use when setting up repos for AI development, diagnosing repeated agent failures, writing AGENTS.md, or designing CI gates and structural tests.
AI-driven Game Development Studio using BMAD methodology. Routes game projects through Pre-production, Design, Architecture, Production, and Game Testing phases with 6 specialized agents. Supports Unity, Unreal Engine, Godot, and custom engines.
Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode
Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth.