Exact public version
revenue-operations v1
Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization. Use when analyzing sales pipeline coverage, forecasting revenue, evaluating go-to-market performance, reviewing sales metrics, assessing pipeline analysis, tracking forecast accuracy with MAPE, calculating GTM efficiency, or measuring sales efficiency and unit economics for SaaS teams.
efe24ffb7089c9f14ea41813fc0ab34f94abd335ae40cfcdf07c47500ca65f89Package contents
Manifest
Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization. Use when analyzing sales pipeline coverage, forecasting revenue, evaluating go-to-market performance, reviewing sales metrics, assessing pipeline analysis, tracking forecast accuracy with MAPE, calculating GTM efficiency, or measuring sales efficiency and unit economics for SaaS teams.
6a9b4ffb1415561efbebfb5b5c2155cf73ca8c27721b5480ef99f0aa4c724a0c- SKILL.md9,435 bytes
- assets/expected_output.json2,580 bytes
- assets/forecast_report_template.md3,710 bytes
- assets/gtm_dashboard_template.md5,310 bytes
- assets/pipeline_review_template.md3,259 bytes
- assets/sample_forecast_data.json999 bytes
- assets/sample_gtm_data.json525 bytes
- assets/sample_pipeline_data.json3,486 bytes
- references/gtm-efficiency-benchmarks.md10,850 bytes
- references/pipeline-management-framework.md9,710 bytes
- references/revops-metrics-guide.md10,151 bytes
- scripts/forecast_accuracy_tracker.py16,889 bytes
- scripts/gtm_efficiency_calculator.py22,585 bytes
- scripts/pipeline_analyzer.py17,545 bytes