
Revenue Operations
alirezarezvani/claude-skills/business-growth/skills/revenue-operationsby alirezarezvani19392f7a0826No license27K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 5 weeks ago
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| assets/expected_output.json | 2.5 KB | application/json |
| assets/forecast_report_template.md | 3.6 KB | text/markdown |
| assets/gtm_dashboard_template.md | 5.2 KB | text/markdown |
| assets/pipeline_review_template.md | 3.2 KB | text/markdown |
| assets/sample_forecast_data.json | 999 B | application/json |
| assets/sample_gtm_data.json | 525 B | application/json |
| assets/sample_pipeline_data.json | 3.4 KB | application/json |
| references/gtm-efficiency-benchmarks.md | 10.6 KB | text/markdown |
| references/pipeline-management-framework.md | 9.5 KB | text/markdown |
| references/revops-metrics-guide.md | 9.9 KB | text/markdown |
| scripts/forecast_accuracy_tracker.py | 16.5 KB | text/plain |
| scripts/gtm_efficiency_calculator.py | 22.1 KB | text/plain |
| scripts/pipeline_analyzer.py | 17.1 KB | text/plain |
| SKILL.md | 9.2 KB | text/markdown |
Source and attribution
Source:alirezarezvani/claude-skillsinbusiness-growth/skills/revenue-operationsat commit19392f7
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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