revenue-operations

revenue-operations is a skill for Claude Code from frank-luongt/faos-skills-marketplace. It costs 0 tokens per session (2,165 once invoked), scanned A, original, Apache-2.0.

A framework for analyzing revenue operations: the processes connecting marketing, sales, and customer success around pipeline, forecasts, quotas, and revenue measures.

In plain words
What is it for?
It supports revenue dashboards, quarterly or annual forecasts, quota-attainment analysis, funnel-conversion analysis, and calculations such as ARR, NRR, Magic Number, and LTV:CAC.
Why use it?
It helps identify gaps in sales coverage, slow pipeline stages, inaccurate forecasts, and weak handoffs between teams.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the faos-analyst plugin — 22 skills, 6 commands shipped together

Good fit It supports revenue dashboards, quarterly or annual forecasts, quota-attainment analysis, funnel-conversion analysis, and calculations such as ARR, NRR, Magic Number, and LTV:CAC.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frank-luongt/faos-skills-marketplace/revenue-operations
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add frank-luongt/faos-skills-marketplace --skill revenue-operations
Clone the repo
git clone --depth 1 https://github.com/frank-luongt/faos-skills-marketplace

Made for: Claude Code.

Or install faos-analyst, the plugin that ships this one along with the rest of its 22 skills, 6 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for revenue-operations

README.md
[![agentmods](https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/revenue-operations/github.svg)](https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/revenue-operations)
Your own site
<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/revenue-operations"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/revenue-operations/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for revenue-operations

Your own site · 80×15
<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/revenue-operations"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/revenue-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,165 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02165
Opus 5 $0.00000 $0.01082
Sonnet 5 $0.00000 $0.00433
Haiku 4.5 $0.00000 $0.00216

Measured 12d ago against content hash 0d6dea7fb39b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

revenue-operations scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/faos-analyst/skills/revenue-operations/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: revenue-operations description: Analyze sales pipeline health, forecast revenue, measure quota attainment, and optimize funnel conversion. Use when building RevOps dashboards, diagnosing pipeline gaps, forecasting quarterly revenue, or aligning sales-marketing-CS handoffs. tags: [revops, sales, pipeline, forecasting]

Revenue Operations

End-to-end RevOps framework for pipeline analytics, revenue forecasting, quota management, and cross-functional alignment between Sales, Marketing, and Customer Success.

Use this skill when

  • Building or reviewing a RevOps dashboard
  • Diagnosing pipeline coverage gaps or stage bottlenecks
  • Forecasting quarterly or annual revenue
  • Analyzing quota attainment at individual, team, or org level
  • Designing sales-marketing-CS handoff processes
  • Calculating key revenue metrics (ARR, NRR, Magic Number, LTV:CAC)

Do not use this skill when

  • Designing pricing tiers or packaging (use pricing-strategy)
  • Analyzing early-stage startup metrics with no pipeline (use startup-metrics-framework)
  • Running individual A/B tests on sales emails (use ab-test-analysis)
  • Building the actual dashboard infrastructure (use data engineering skills)

Instructions

  1. Assess pipeline health using the Pipeline Health Scorecard.
  2. Forecast revenue using the appropriate methodology (weighted, commit-based, or historical).
  3. Measure quota attainment at individual and team levels.
  4. Analyze funnel conversion stage by stage to identify bottlenecks.
  5. Align cross-functional handoffs using the Sales-Marketing Alignment Framework.
  6. Report using the Quarterly RevOps Report template.

RevOps Metrics Taxonomy

Master reference for revenue metrics — know these before building any dashboard:

Growth Metrics

Metric Formula Benchmark (SaaS)
ARR MRR x 12 Growth target: 2-3x <$10M, 1.5-2x >$10M
MRR Sum of all monthly recurring revenue Track net new, expansion, contraction, churn
Net Revenue Retention (NRR) (Starting MRR + Expansion - Contraction - Churn) / Starting MRR >120% = elite, >100% = healthy
Gross Revenue Retention (GRR) (Starting MRR - Contraction - Churn) / Starting MRR >90% = healthy, <85% = problem

Read the full file on GitHub · 229 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 229 lines · 0 tokens per session scan A 0d6dea7fb39b

Subscribe to this mod's changes

revenue-operations is a skill published in the GitHub repository frank-luongt/faos-skills-marketplace (33 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,165 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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