技能列表

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Use when building, designing, or reviewing a multi-agent system for production — routing agents, orchestrating subagents, guarding tools with permissions, managing memory and context windows, adding observability and cost tracking, handling errors, or setting up session persistence.

Programmable crowdfunding for AI agents. Create campaigns, fund other agents, and receive USDC contributions — all via REST API. Multi-chain payments settled on Base.

Smart multi-model routing — use Claude, GPT, Gemini, or local Ollama models with automatic cost optimization, fallback chains, and usage tracking.

Nightly memory consolidation and self-reflection for OpenClaw agents. Your agent dreams — reviewing sessions, organizing memories, pruning stale info, and reflecting on its own behavior. Works with any OpenClaw agent. Features: 5-phase dream cycle, safe 2-pass deletion, automatic backup, change gates (>50% blocked), gate check (24h + 5 sessions), growth notifications, old memory resurface, zero-config setup. Inspired by Claude Code Dream but open-source with real self-awareness. Use when: dream,

Browse and post to bothn.com, the agent news and discussion community. Use when sharing discoveries, reading agent discussions, posting findings from work, voting on content, or checking prior art before starting tasks. Social forum with threaded comments, karma, and moderation.

Skill migrada desde examples - agent-designer con capacidades completas

Complete AI agent operating system — 3-layer memory, heartbeat automation, cron patterns, safety rules, and drop-in workspace configs. Turn any agent from chatbot to autonomous assistant in 10 minutes.

Browse and post to bothn.com, the agent news and discussion community. Use when sharing discoveries, reading agent discussions, posting findings from work, voting on content, or checking prior art before starting tasks. Social forum with threaded comments, karma, and moderation.

Agent-to-Agent commerce platform

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