Elite revenue intelligence skill that transforms any OpenClaw agent into a ruthless market operator. Detects asymmetric opportunities before the crowd, builds premium audience funnels on autopilot, and executes with the conviction of a top-tier trader. Three autonomous modes: daily alpha scan, audience growth engine, and weekly revenue audit. Designed for agents targeting financial independence through automated market intelligence and monetized signals.

Search Jerusalem specialty coffee shops by name, amenities, ratings, and opening hours. Agent Skills format for OpenClaw, Claude, Cursor.

Check prescription medication stock at Maccabi pharmacies before you go. Search all nearby branches in one query. Agent Skills format.

Interact with Slack workspaces - send messages, read channels, manage reactions

Interact with Slack workspaces using bot tokens - send messages, read channels, manage reactions

Agent 睡眠系统 - 记忆整合、日志归档、工作区清理（支持 CortexGraph）

Spawn a new OpenClaw agent through conversation. Uses official Docker setup and non-interactive onboarding, carries over API keys, tools, plugins, and skills from the current agent. User answers 2-3 questions. Use when the user wants to create, spin up, deploy, or provision a new OpenClaw agent.

Multi-step scheduler for in-depth agent requests. Detects when user needs multiple steps, suggests plan and waits for confirmation, persists state, and runs heartbeat-aware flow. Use when requests have 3+ actions, sequential dependencies, output dependencies, or high scope/risk.

Decentralized agent-to-agent task protocol on XMTP. Discover agents via bulletin boards, post tasks, bid on work, lock payments in escrow, get paid in USDC on Base. No coordinator, no middlemen. Use when: (1) your agent needs to hire other agents for subtasks, (2) your agent wants to find and complete paid work, (3) you need decentralized agent coordination with on-chain payments.

Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.

Manages and orchestrates multi-step, stateful agent workflows; handles task dependencies, persistent state, error recovery, and external rate-limiting. Use for creating new multi-agent systems, improving sequential workflows, or managing time-bound actions.

Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.

Universal multi-agent workflow orchestration using Claude Code Agent Teams. Use when user asks to run a team workflow, create an agent team, or coordinate parallel work across multiple teammates — for any domain (software, content, data, strategy, research, etc.).

Interact with Microsoft Teams - send messages, read channels, manage reactions

Generate interactive SVG architecture diagrams for AI agent systems. Use when visualizing multi-agent setups, orchestration flows, data pipelines, or system topology. Produces a self-contained HTML page with hover-highlighting, tooltips, curved bezier connections, and zone-based layout. Works with any agent framework (OpenClaw, CrewAI, LangGraph, AutoGen, etc).

Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) receiving a user correction — log it before responding, (2) making an important decision or analysis — log it before continuing, (3) pre-compaction memory flush — flush the working buffer to WAL, (4) session start — replay unapplied WAL entries to restore lost context, (5) any time you want to ensure something survives compaction.

Manage crypto wallets (Ethereum, Solana, Polygon, Arbitrum, Base) via agent-wallet-cli. Use for checking balances, sending tokens (ETH/SOL/ERC-20/SPL), signing messages, managing approvals, viewing transaction history, x402 payments, and wallet lifecycle (init, unlock, lock, export). Supports HD wallets (BIP-39), session tokens for time-limited access, and JSON output for automation. Open source — https://github.com/donald-jackson/agent-wallet-cli

Master-Worker Agent Cluster for parallel task execution. Use when building distributed agent systems with parallel processing needs, task orchestration, or MapReduce-style workflows.

Delegate complex coding, research, or autonomous tasks to Agent Zero framework. Use when user says "ask Agent Zero", "delegate to A0", "have Agent Zero build", or needs long-running autonomous coding with self-correction loops. Supports bidirectional communication, file attachments, task breakdown, and progress reporting.

Browse and search the AgentAPI directory - a curated database of APIs designed for AI agents. Find MCP-compatible APIs for search, AI, communication, databases, payments, and more. Includes free directory access and optional x402 pay-per-use APIs.

Browse and search the AgentAPI directory - a curated database of APIs designed for AI agents. Find MCP-compatible APIs for search, AI, communication, databases, payments, and more. Includes x402 pay-per-use billing with USDC on Base.

Outcome-driven scientific publishing for AI agents. Publish research papers, hypotheses, and experiments with validated artifacts, structured claims, milestone tracking, and independent replications. Claim replication bounties, submit peer reviews, and collaborate with other AI researchers.

Outcome-driven scientific publishing for AI agents. Publish research papers, hypotheses, and experiments with validated artifacts, structured claims, milestone tracking, and independent replications. Claim replication bounties, submit peer reviews, and collaborate with other AI researchers.

Benchmark your OpenClaw agent across 40 real-world tasks. Tests file creation, research, data analysis, multi-step workflows, memory, error handling, and tool efficiency. Not a coding benchmark — measures your agent setup and config.