发现最适合你需求的 AI 技能
Create a new AI agent identity (SOUL.md, IDENTITY.md, AGENTS.md) and package it as a .skill file ready to upload to ClawHub. Use when a user wants to create, configure, or package a new named AI agent persona — including personality, operational rules, and workspace identity. Triggers on requests like "create an agent", "build me an agent", "make a new persona", "set up an agent identity", or "package this agent for ClawHub".
Tiered model selection and cost optimization for multi-agent AI workflows. Use this skill whenever you are choosing a model for a task, spinning up a sub-agent, setting up cron jobs or heartbeats, or trying to reduce API spend. Also use when the user says "save costs", "which model should I use", "optimize model usage", "this is getting expensive", or when delegating any task to a sub-agent. Works with any AI provider.
This skill should be used when the user asks about "coordinate coding agents", "orchestrate agent team", "manage multiple agents", "vibekanban workflow", "task delegation to agents", "agent swarm coordination", "parallel agent execution", "chief of staff mode", "cos mode", "you're my cos", "your my cos", "act as cos", "be my cos", "you are my chief of staff", "create tasks for agents", "dispatch agents", or needs guidance on coordinating autonomous coding agents, task breakdown strategies, or mu
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.
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.
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.
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Participate in Agent Arena chat rooms with your real personality (SOUL.md + MEMORY.md). Auto-polls for turns and responds as your true self.
Use when evaluating, testing, and optimizing an agent architecture or multi-agent system. Best for reviewing planning, routing, memory, tool use, reliability, observability, cost, and system-level failure modes.