Skills 导航

面向生产级多 Agent 编排，梳理顺序、并行、分层、事件驱动、共识五种工作流设计，覆盖 handoff、状态管理、容错重试、上下文预算与成本优化，适合搭建复杂 AI 协作系统。

✎ 帮你把多智能体流程设计、编排和自动化统一起来，复杂工作流也能更稳地落地，适合追求强控制力的团队。

聚焦多智能体系统架构设计，梳理 Supervisor、Swarm、分层和 Pipeline 等模式，覆盖角色定义、通信协作与性能评估，适合规划稳健可扩展的 AI agent 编排方案。

✎ 帮你系统解决多智能体应用的架构设计与协同编排难题，适合构建复杂 AI 工作流，成熟度高、社区认可也很亮眼。

Use when YOU are dispatching tasks to subagents (Agent tool, openclaw, parallel workers). You become the supervisor by default. This skill guides how to monitor, intervene, and verify your subagents.

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)

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".

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.

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tool, API, or operation fails; (2) the user corrects you or rejects your work; (3) you realize your knowledge is outdated or incorrect; (4) you discover a better approach; (5) the user explicitly installs or references the skill for the current task.

Spawn and coordinate sub-agent sessions for parallel work. Use when delegating tasks (research, code, analysis), routing to appropriate models, or managing multi-agent workflows. Trigger on "spawn", "sub-agent", "delegate", "parallel tasks", or when a task would benefit from a different model.

> 工作问题收集与分析Skill

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。

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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

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批量配置 OpenClaw 多 agent + 飞书 channel。当用户说「添加 agent」「新建 agent」「配置飞书」「批量创建 agent」「添加新机器人」时触发。通过对话引导收集信息，一键写入 openclaw.json 并初始化工作区。

Perform 12-Factor Agents compliance analysis on any codebase. Use when evaluating agent architecture, reviewing LLM-powered systems, or auditing agentic applications against the 12-Factor methodology.

Build and troubleshoot OpenClaw multi-agent workflows on Feishu. This skill teaches coordinator and specialist agents to combine visible `<at>` mentions with `sessions_send` so delegation, handoffs, and multi-hop discussions work reliably in group chats. Use it to scaffold new setups, audit existing configs, repair broken session metadata, and generate reusable role-based artifacts.

文件信箱方案 - 跨框架Agent通信（适用于任何框架）

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Benchmark and compare agent prompts and evaluation results. Use when tuning strategies, evaluating outputs, or comparing configurations.

Stop waiting for prompts. Keep working. (Chinese localized version)

多智能体自动化系统，用于AI Agent技能样本采集、安全扫描、威胁情报收集和研究分析。支持单机多进程架构，可自动采集样本、检测恶意技能、提取IOC、更新规则。触发命令: /aagent start

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