Quick overview
Three Python scripts for analyzing sales pipeline health, tracking forecast accuracy, and calculating GTM efficiency metrics. Takes JSON input files with deal, forecast, or cost data and outputs metrics with ratings and industry benchmarks. Supports text and JSON output formats for both human review and dashboard integration.
Combines pipeline health, forecast accuracy, and GTM efficiency analysis in a single offline toolkit without requiring CRM vendor-specific reporting modules or a separate BI tool.
Common tasks
- Weekly pipeline coverage check before a sales team meeting
- Identifying reps with systematic over- or under-forecasting patterns
- Board prep with Magic Number, LTV:CAC, and Rule of 40 calculations
- Flagging deals that have stalled past their expected stage cycle time
- Quarterly GTM efficiency audit comparing S&M spend against net new ARR
Install paths
Primary command
openclaw install alirezarezvani/revenue-operations
ClawHub installer
npx clawhub@latest install alirezarezvani/revenue-operations
OpenClaw CLI
openclaw skills install alirezarezvani/revenue-operations
Direct OpenClaw install
openclaw install alirezarezvani/revenue-operations
Skill metadata
- Category: DevOps & Cloud
- Language: Markdown
- Version: 1.0.0
- Security status: Benign
Review upstream source
The full public SKILL.md body is not directly fetchable for this entry right now, so this page is using the best available catalog metadata. Review the upstream source page for the latest files, version history, and security scan details: https://clawhub.ai/alirezarezvani/revenue-operations
