Agent skill · Testing & QA

revenue-operations

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.

Alireza Rezvani23,369★ · +428/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add alirezarezvani/claude-skills --skill revenue-operations --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 14
SKILL.md size: 9 KB
Bundled scripts: yes
Path: business-growth/skills/revenue-operations/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 23,791 · +422 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Revenue Operations Pipeline analysis, forecast accuracy tracking, and GTM efficiency measurement for SaaS revenue teams. > **Output formats:** All scripts support `--format text` (human-readable) and `--format json` (dashboards/integrations). --- ## Quick Start ```bash # Analyze pipeline health and coverage python scripts/pipeline_analyzer.py --input assets/sample_pipeline_data.json --format text # Track forecast accuracy over multiple periods python scripts/forecast_accuracy_tracker.py assets/sample_forecast_data.json --format text # Calculate GTM efficiency metrics python scripts/gtm_efficiency_calculator.py assets/sample_gtm_data.json --format text ``` --- ## Tools Overview ### 1. Pipeline Analyzer Analyzes sales pipeline health including coverage ratios, stage conversion rates, deal velocity, aging risks, and concentration risks. **Input:** JSON file with deals, quota, and stage configuration **Output:** Coverage ratios, conversion rates, velocity metrics, aging flags, risk assessment **Usage:** ```bash python scripts/pipeline_analyzer.py --input pipeline.json --format text ``` **Key Metrics Calculated:** - **Pipeline Coverage Ratio** -- Total pipeline value / quota target (h

What's inside
Steps it walks through
  1. Quick Start
  2. Tools Overview
  3. 1. Pipeline Analyzer
  4. 2. Forecast Accuracy Tracker
  5. 3. GTM Efficiency Calculator
  6. Revenue Operations Workflows
  7. Weekly Pipeline Review
  8. Forecast Accuracy Review
  9. GTM Efficiency Audit
  10. Quarterly Business Review
  11. Reference Documentation
  12. Templates
Ships with 13 files
  • assets/expected_output.json
  • assets/forecast_report_template.md
  • assets/gtm_dashboard_template.md
  • assets/pipeline_review_template.md
  • assets/sample_forecast_data.json
  • assets/sample_gtm_data.json
  • assets/sample_pipeline_data.json
  • references/gtm-efficiency-benchmarks.md
  • references/pipeline-management-framework.md
  • references/revops-metrics-guide.md
  • scripts/forecast_accuracy_tracker.py
  • scripts/gtm_efficiency_calculator.py
  • scripts/pipeline_analyzer.py
Commands it runs
Analyze pipeline health and coverage
python scripts/pipeline_analyzer.py --input assets/sample_pipeline_data.json --format text
Track forecast accuracy over multiple periods
python scripts/forecast_accuracy_tracker.py assets/sample_forecast_data.json --format text
Calculate GTM efficiency metrics
python scripts/gtm_efficiency_calculator.py assets/sample_gtm_data.json --format text
python scripts/pipeline_analyzer.py --input pipeline.json --format text
python scripts/forecast_accuracy_tracker.py forecast_data.json --format text
python scripts/gtm_efficiency_calculator.py gtm_data.json --format text
python scripts/pipeline_analyzer.py --input current_pipeline.json --format text
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About this skill
What does the revenue-operations skill do?

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.

How do I install it?

Run `npx skills add alirezarezvani/claude-skills --skill revenue-operations --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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