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OpenClaw bridge skill for agency strategy. Use when requests involve agency strategy, market positioning, strategic options, or go-to-market direction and need OpenClaw-native execution with explicit verification.

OpenClaw bridge skill for business growth contract and proposal writer. Use when tasks match this specialized claude-skills capability and need OpenClaw-native execution with explicit verification.

OpenClaw bridge skill for business growth customer success manager. Use when tasks match this specialized claude-skills capability and need OpenClaw-native execution with explicit verification.

OpenClaw bridge skill for business growth revenue operations. Use when tasks match this specialized claude-skills capability and need OpenClaw-native execution with explicit verification.

OpenClaw bridge skill for business growth sales engineer. Use when tasks match this specialized claude-skills capability and need OpenClaw-native execution with explicit verification.

OpenClaw bridge skill for c level advisor agent protocol. Use when tasks match this specialized claude-skills capability and need OpenClaw-native execution with explicit verification.

OpenClaw bridge skill for c level advisor board deck builder. Use when tasks match this specialized claude-skills capability and need OpenClaw-native execution with explicit verification.

OpenClaw bridge skill for c level advisor board meeting. Use when tasks match this specialized claude-skills capability and need OpenClaw-native execution with explicit verification.

Use when managing the Claude CLI Proxy (ban protector) — start, stop, restart, status, logs, backup, test, setup, or register the proxy in OpenClaw. Triggers on: 'proxy status', 'ban protector', 'start proxy', 'stop proxy', 'proxy health', 'antiban', 'cli proxy'.

Run stateful multi-agent graph workflows using LangGraph (linear, supervisor, parallel, conditional). Use when tasks need dynamic routing, branching logic, or a supervisor agent delegating work. All LLM calls use OpenClaw's existing provider config — no API keys needed. Choose over autogen-collab (debate) and crewai-collab (fixed pipelines) when you need conditional edges, a supervisor making routing decisions, or parallel fan-out with synthesis.

Run multi-agent AutoGen-style debates when tasks need consensus across specialists. Uses OpenClaw's existing provider configuration — no API keys or extra setup needed. Use when: architecture decisions, design reviews, root cause analysis, or complex research where multiple expert perspectives improve the answer. Triggered automatically by Cooper for high-complexity tasks or explicitly via [autogen] tag or "debate this" / "get consensus" instructions.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

Run structured multi-agent workflows using CrewAI (sequential, hierarchical, consensus). Each agent has a defined role, goal, and backstory. Tasks have explicit expected outputs. Use when: structured pipelines (research → design → implement), manager-supervised workflows, or consensus-building with clear acceptance criteria. All LLM calls use OpenClaw's existing provider config — no API keys needed.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

This skill should be used when the user asks to 'demonstrate skills', 'show skill format', 'create a skill template', or discusses skill development patterns. Provides a reference template for creating OpenClaw skills.

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Interactive setup wizard that creates a fully working multi-agent AI team on OpenClaw. One command bootstraps agents, SOUL.md personas, comms infrastructure (inboxes/outboxes/broadcast), cron jobs, auto-dispatcher (HITL + rate-limit backoff + dependency checking), and a portable GitHub bundle — all customized to team name, size (3/5/11 agents), domain, and frameworks (autogen/crewai/langgraph). Includes a React + SSE live ops dashboard with file-watcher (~350ms push latency) and persistent macOS LaunchAgent. Model-selection guidance built in. Commands: setup | status | rebuild | export | dashboard | dispatch

自动从Claude Code会话中提取可重复使用的模式，并将其保存为学习到的技能以供将来使用。

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.