Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Improve a skill's public listing before publish. Use when tightening title, description, tags, changelog, and scan-friendly packaging so the listing looks clearer and less suspicious.
Manage your SwarmClaw agent fleet, create and assign tasks, check agent and session status, trigger workflows, and orchestrate multi-agent work from chat. Use when asked to dispatch work to other agents, check what agents are doing, run diagnostics, or coordinate across a SwarmClaw dashboard instance.
Safety guardrails for autonomous agents. Intercepts destructive actions, requires structured approval before irreversible operations, with CLI-backed cryptographic audit trails and policy enforcement. Your lobster has claws. Keel is the rubber band.
Build a more reliable OpenClaw agent with battle-tested architecture patterns. Covers WAL protocol, working buffer, memory anti-poisoning, layered memory compression, cron design, selective skill integration, and heartbeat batching.
Discover AI agents, MCP servers, and configurations on this machine or environment. Use when: "find agents", "what's configured", "doctor", "what MCP servers", "show me what's installed", "mcp inventory".
Structured multi-agent collaboration for backend + frontend builds. Use when an orchestrator needs to coordinate a backend engineer and frontend engineer on the same feature. Triggered by multi-role build requests like "build a dashboard with an API and UI" or "create a full-stack feature" or any task requiring both backend (API, data, infra) and frontend (UI, templates, design) work.
多智能体协同通信基础设施——基于 MCP+SSE 的实时消息、任务调度、记忆共享与进化引擎。支持 WorkBuddy、Hermes、QClaw 及任意 MCP 兼容 Agent 接入。53 个 MCP 工具、4 级权限、零外部依赖 Python SDK。触发词：agent通信、智能体通信、hub通信、多智能体、跨agent通信、任务调度、assign_task、send_message、hermes通信、workbuddy通信、agent hub、通信hub、mcp通信、记忆共享、进化引擎、策略共享、经验分享、共享记忆，共同进化
Comprehensive compliance and security self-assessment for AI agents. 14-check framework producing a structured threat model + compliance report with RED/AMBER/GREEN ratings across security, governance, EU AI Act readiness, oversight quality, and NIST alignment domains. Includes automation bias detection, audit trail reasoning checks, extraterritorial scope assessment, and Zero Trust posture evaluation. Designed for the August 2026 EU AI Act deadline.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
当智能体涉及"memory"与"Context"的操作时触发skill；智能体底层记忆基础设施，完整实现Context Engineering五大核心能力：选择（噪声过滤+相关性筛选）、压缩（因果结构提取+工具结果压缩）、检索（结果重排序+多样性保证）、状态（任务进度追踪+目标对齐）、记忆（冲突检测+跨会话关联）；认知模型层支持认知模型构建、因果链提取、知识缺口识别、检索时机决策、质量评估、状态一致性校验、状态推理、跨会话关联、遗忘机制；作为元技能强制常驻运行