agent-orchestrationMaster the art of spawning and managing sub-agents. Write prompts that actually work, track running agents, and learn from every outcome. Part of the Hal Stack 🦞
Install via ClawdBot CLI:
clawdbot install clawdnw/agent-orchestrationGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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http://localhost:3000Audited Apr 17, 2026 · audit v1.0
Generated Mar 1, 2026
A marketing team uses the skill to generate precise, on-brand product descriptions and landing page copy. By applying the 5-layer architecture, they ensure outputs align with brand voice, target audience pain points, and specific constraints like word count and format, reducing revisions.
Developers leverage the skill to create detailed technical documentation and code explanations. The structured prompts guide models to produce clear, step-by-step instructions and maintain consistency with existing codebases, improving onboarding and knowledge sharing.
A support team implements the skill to craft prompts for AI agents handling customer inquiries. By defining roles, tasks, and constraints, they ensure responses are accurate, empathetic, and adhere to company policies, enhancing efficiency and customer satisfaction.
Analysts use the skill to generate comprehensive reports on market trends or data insights. The process layer ensures models follow a logical reasoning path, producing well-structured outputs with clear conclusions and actionable recommendations.
Offer the skill as part of a subscription-based platform for AI prompt engineering. Users pay monthly for access to templates, model-specific optimizations, and analytics on prompt performance, generating recurring revenue.
Provide consulting services to businesses looking to integrate AI agents effectively. Offer workshops and custom prompt design based on the skill's principles, charging per project or hourly for expertise in orchestration.
License the skill to large enterprises for internal use in departments like marketing, R&D, or operations. Include support, customization, and integration with existing AI tools, with pricing based on user count or usage tiers.
💬 Integration Tip
Integrate the skill by starting with small pilot projects to refine prompts based on model-specific behaviors, then scale to broader applications while maintaining consistent output quality.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
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.