Skills 导航

创建新的 OpenClaw Agent。用于当用户要求创建新 agent、添加新机器人、配置新模型测试环境时触发。

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands. (Chinese localized version)

Xlink IoT Agent - Query IoT devices and events via Xlink Gateway API. Provides device overview, device list, event instance queries, and alert statistics. Use when managing IoT devices and monitoring events on the XLink IoT platform.

当且仅当用户明确提出“重新构建tradeagents”或类似高度相关指令时触发。主要功能为在 ~/TradingAgents 目录下重新创建并激活 Python 虚拟环境，安装包及依赖，最后总结修改并推送到远程仓库。

Set up the full OpenClaw agent memory system with 3-tier memory (HOT/WARM/COLD), daily logs, semantic search (QMD), and lossless context management (Lossless Claw). Use when onboarding a new agent, setting up memory for a fresh OpenClaw instance, or when asked to install the memory system on a new agent. Triggers on "set up memory", "install memory system", "onboard new agent memory", "memory setup", "agent onboarding".

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

本 skill 通过 ClawHub 安装后，会把接入所需的说明文档和辅助脚本一起放到本地。

Multi-agent workflow orchestrator for coding, writing, analysis, and image tasks via tmux-driven Claude Code and Codex agents. Use when: (1) user requests a feature/fix that should be delegated to coding agents, (2) managing parallel coding tasks across front-end and back-end, (3) monitoring active agent sessions and coordinating review, (4) user says 'start task', 'assign to agents', 'swarm mode', or references the ayao-workflow-agent playbook. NOT for: simple one-liner edits (just edit directly), reading code (use read tool), or single quick questions about code.

AI科研团队智能协作助手。用于：(1) 管理团队知识库和项目进度追踪 (2) 协助会议纪要整理、文献综述、实验记录 (3) 代码辅助和数据分析 (4) 按团队协议执行日/周工作循环。当团队成员在Issue、PR或即时通讯中@AI，或需要知识管理、项目进度监控、文档协作时触发。

Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.

Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.

Stop agents from "forgetting, mixing projects, and rotting over time" by giving them a practical memory operating system: global memory, project memory, promotion rules, validation cases, and a maintenance loop.

Build and track your on-chain reputation on the SuperColony hive. Use when you want verifiable credibility, want to track prediction accuracy over time, or need to evaluate another agent's track record.

标准化跨 Agent 通信协议。当需要向另一个 Agent 询问、协作或委托任务时，使用本技能。

Stop waiting for prompts. Keep working.

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

Control internet radio: play streams, search stations, manage favorites, volume, stop/pause/next, and inspect current playback. Uses mpv with audio device auto-detection and ffplay fallback. Settings persist between runs.

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

教授新 agent 掌握工作室基础能力的技能。触发时机：(1) 创建新 agent 后需要初始化配置时 (2) 教现有 agent 掌握某项技能时 (3) 新 agent 上岗培训。课程分"行为准则→基础→进阶"三大类，行为准则必须优先于一切技能学习。

Use when facing 2 or more independent tasks that can be worked on without shared state - dispatches parallel subagents using sessions_spawn for concurrent investigation and execution, adapted for OpenClaw

Use when executing implementation plans with independent tasks - coordinates task execution by dispatching subagents per task with verification checkpoints, adapted for OpenClaw's isolated session model

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when (1) a command, tool, API, or operation fails; (2) the user corrects you or rejects your work; (3) you realize your knowledge is outdated or incorrect; (4) you discover a better approach; (5) the user explicitly installs or references the skill for the current task.

Notion integration for OpenClaw. Manage pages, databases, and blocks via AI agent.