revenue-operations SKILL.md skillA

revenue-operations from alirezarezvani/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add alirezarezvani/claude-skills/revenue-operations@git:20260502.1851c8f

Pins git:20260502.1851c8f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
alirezarezvani/claude-skills
Path
business-growth/skills/revenue-operations/SKILL.md
Versions recorded
1
Latest version
git:20260502.1851c8f, committed May 2, 2026
Size
9,435 bytes
Repository stars
29,490
License
MIT

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add alirezarezvani/claude-skills/revenue-operations@sha256:9ba340d0b1f3ff05

The line at the top of this page pins the label git:20260502.1851c8f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jeayd3s6rykm2rsp.svg)](https://markdownregistry.com/a/art_jeayd3s6rykm2rsp)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 2, 2026.

versioncommittedcommitsizeaudit
git:20260502.1851c8f latest2026-05-02 1851c8f 9,435 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9435 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

alirezarezvani/claude-skills · 29,490 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jeayd3s6rykm2rsp
GET https://markdownregistry.com/api/v1/resolve?ref=alirezarezvani/claude-skills/revenue-operations
GET https://markdownregistry.com/api/v1/blob/9ba340d0b1f3ff05eef9b8beef9de35a9f9082fef6cbc8cedd09022e4735c9b0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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