revenue-forecasting SKILL.md skillA

revenue-forecasting from varunk130/ai-gtm-skill-library is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add varunk130/ai-gtm-skill-library/revenue-forecasting@git:20261028.f89548e

Pins git:20261028.f89548e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
varunk130/ai-gtm-skill-library
Path
revops-skills/revenue-forecasting/SKILL.md
Versions recorded
3
Latest version
git:20261028.f89548e, committed Oct 28, 2026
First version recorded
May 16, 2026
Size
6,184 bytes
Repository stars
7
License
MIT

Revenue forecasting pipeline - bottoms-up pipeline forecast, tops-down model, ensemble blending, scenario analysis, and forecast calibration loop. Use when: revenue forecast, sales forecast, pipeline forecast, bookings forecast, NRR forecast, ARR forecast, forecast calibration, scenario planning, ensemble forecasting, board forecast.

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 Forecasting (FORECAST Framework)

Design a revenue-forecasting pipeline that produces a defensible, calibrated number - not a rep-roll-up that's been over-promised twice. FORECAST blends bottoms-up pipeline math with a tops-down model, runs scenarios, and closes the loop with calibration so the forecast improves quarter over quarter.

## Core Principle

**A forecast is only as good as its calibration loop.** Most forecasts re-anchor every quarter and never learn. FORECAST treats forecasting as an *ensemble* of models with explicit error tracking, so the system gets more accurate over time.

## The FORECAST Framework

| Letter | Stage | The Question |
|--------|-------|--------------|
| **F** | Foundations | What's the ARR / bookings definition, period boundary, and currency convention? |
| **O** | Outlook (Bottoms-Up) | What does pipeline-weighted by stage and rep commit produce? |
| **R** | Run-Rate Model | What does the time-series / cohort model produce independent of pipeline? |
| **E** | Ensemble Blend | How are bottoms-up and tops-down blended, and what's the confidence band? |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add varunk130/ai-gtm-skill-library/revenue-forecasting@sha256:65897d6e5a4492d7

The line at the top of this page pins the label git:20261028.f89548e, 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_xd7kfncyfxujzkas.svg)](https://markdownregistry.com/a/art_xd7kfncyfxujzkas)

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

Versions

The registry has recorded 3 versions of this file, between May 16, 2026 and Oct 28, 2026, about one every 83 days.

versioncommittedcommitsizeaudit
git:20261028.f89548e latest2026-10-28 f89548e 6,184 BA view · diff
git:20260522.2e903922026-05-22 2e90392 6,178 BA view · diff
git:20260516.4225f522026-05-16 4225f52 6,212 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 (6184 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

varunk130/ai-gtm-skill-library · 7 stars · license MIT · pushed 2026-11-01 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_xd7kfncyfxujzkas
GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/revenue-forecasting
GET https://markdownregistry.com/api/v1/blob/65897d6e5a4492d737660b48d11c9ed8e4c7e28368e8e9c49728fa19ae7f3eb5

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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