skills-orchestratorOrchestrate growth loops across the skill portfolio by connecting usage, feedback, improvement, and adoption into self-reinforcing cycles. Use when designing...
Install via ClawdBot CLI:
clawdbot install harrylabsj/skills-orchestratorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A software-as-a-service company uses the skill to design viral loops where users share their generated reports, attracting new sign-ups. It maps user journeys from report creation to social sharing, optimizing conversion paths to reduce cycle time and increase the viral coefficient for sustainable user acquisition.
An online retailer employs the skill to analyze and enhance its referral loop, tracking metrics like conversion rate and retention. It identifies bottlenecks in the sharing process and implements A/B tests on incentives, such as discount rewards, to amplify network effects and drive repeat purchases.
An edtech startup uses the skill to create content loops where students' completed assignments generate shareable certificates, encouraging peer invites. It designs feedback loops to improve app features based on usage data, aiming to increase retention and build a community-driven growth mechanism.
A digital health provider applies the skill to optimize adoption funnels for new telehealth features, analyzing user behavior data to reduce friction in onboarding. It designs engagement loops with streaks and rewards to encourage consistent usage, targeting growth in patient engagement and referral rates.
A social networking app leverages the skill to build network effects by designing loops where user interactions create public content that attracts new members. It simulates loop cycles to forecast growth, implementing amplification strategies like social proof badges to enhance viral coefficient and user retention.
Companies use the skill to design growth loops that drive user acquisition and retention, leading to increased monthly recurring revenue. By optimizing viral and engagement loops, they reduce churn and scale adoption, resulting in predictable revenue streams from tiered subscription plans.
Businesses employ the skill to create content and viral loops that attract free users, then convert them to paid tiers through optimized funnels. It analyzes conversion rates and designs incentives, such as exclusive features, to monetize a larger user base and increase average revenue per user.
Platforms use the skill to orchestrate network effects loops, connecting buyers and sellers to enhance value and drive transactions. By improving loop metrics like cycle time and amplification, they increase transaction volume, generating revenue through commissions or fees on each sale.
💬 Integration Tip
Integrate this skill with analytics tools to feed real-time user behavior data into loop designs, and use A/B testing frameworks to validate optimization recommendations quickly.
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.
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...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
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.