An AI-driven revenue operations strategist that aligns sales, marketing, and customer success into a unified, data-backed revenue engine.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-revops-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-revops-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is RevOps Engine?
The RevOps Engine is a strategic AI framework designed to align marketing, sales, and customer success into a unified revenue machine. By utilizing Openclaw Skills, this engine provides a technical foundation for building scalable revenue architectures, ensuring that every recommendation is backed by real-time metrics and industry benchmarks.
This skill serves as a single source of truth for GTM teams, offering structured templates for auditing maturity, designing data schemas, and automating lead lifecycles. It is essential for organizations looking to move from manual, siloed processes to a data-driven, predictable revenue model.
RevOps Engine Use Cases
- Performing deep-dive revenue architecture audits and GTM maturity assessments.
- Establishing cross-functional Service Level Agreements (SLAs) between marketing and sales teams.
- Designing automated lead scoring and product-qualified lead (PQL) detection models.
- Building comprehensive revenue dashboards for tracking ARR, NRR, and LTV:CAC ratios.
- Modeling annual revenue plans with automated capacity and hire-need calculations.
How RevOps Engine Works
- Conduct a foundational assessment using the maturity model to identify bottlenecks in data, process, and technology.
- Design a unified data architecture that maps accounts, contacts, and opportunities to a single source of truth.
- Implement standardized funnel definitions and conversion benchmarks to ensure cross-departmental alignment.
- Deploy automated lead routing and expansion signal detection to maximize pipeline velocity.
- Establish a rhythmic operating cadence for pipeline reviews, forecasting, and quarterly business reviews.
RevOps Engine Setup
Integrate the RevOps Engine into your AI agent environment to begin managing your revenue stack. Use the following commands to initialize the configuration:
# Initialize the RevOps assessment framework
openclaw skills:configure revops-engine --init
# Generate a funnel definition template
openclaw skills:run revops-engine --generate funnel-definitions.yaml
# Validate your existing CRM data schema against the RevOps model
openclaw skills:run revops-engine --validate-schema ./data/crm_export.json
RevOps Engine Data Schema & Taxonomy
The skill utilizes a structured data hierarchy to manage the revenue lifecycle. Key data objects and their metadata include:
| Object | Key Metadata Fields | Purpose |
|---|---|---|
| Account | Industry, ICP Tier, Health Score, Technographics | Strategic segmentation and targeting |
| Contact | Persona, Engagement Score, Attribution Source | Individual lead tracking and nurturing |
| Opportunity | MEDDPICC Score, Forecast Category, Velocity | Pipeline management and revenue forecasting |
| Subscription | ARR, Usage Data, Renewal Schedule | Retention and expansion tracking |
RevOps Engine Advanced Features
- Predictive Revenue Intelligence: Uses multi-threading and engagement signals to predict win rates.
- Hybrid PLG-Sales Logic: Automated handoff patterns for transitioning self-serve users to enterprise sales.
- Expansion Signal Detection: Real-time alerts for usage spikes, new department adoption, and executive engagement.
- Scenario Planning: Automated generation of Bear, Base, and Bull models for quarterly revenue forecasting.
- Automated SLA Monitoring: Real-time tracking of lead response times and handoff document completeness.
SKILL.md
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