growth-loop SKILL.md skillA

growth-loop 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/growth-loop@git:20261101.977906b

Pins git:20261101.977906b 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
gtm-skills/growth-loop/SKILL.md
Versions recorded
2
Latest version
git:20261101.977906b, committed Nov 1, 2026
First version recorded
May 16, 2026
Size
13,976 bytes
Repository stars
7
License
MIT

Retention, expansion, and advocacy strategy that maximizes customer lifetime value through structured lifecycle programs. Use when: retention strategy, customer retention, expansion strategy, churn prevention, customer success, NRR, upsell, advocacy program.

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

# Growth Loop (ANCHOR System)

A structured lifecycle engine that designs every phase of post-acquisition customer engagement — from initial activation through renewal and advocacy. ANCHOR maximizes net revenue retention by combining health scoring, trigger-based expansion plays, and systematic advocacy development into a unified retention and growth system.

## When to Use
- Designing a post-launch customer success and retention strategy
- Building a customer health scoring model to predict and prevent churn
- Creating expansion playbooks for upsell and cross-sell motions
- Developing customer advocacy programs (case studies, referrals, advisory boards)
- Improving net revenue retention (NRR) and reducing logo churn
- Structuring the handoff from launch/acquisition to ongoing customer success
- Building automated lifecycle programs with trigger-based interventions

## What You'll Need

**Critical inputs (ask if not provided):**
- Product name, pricing model, and customer segments
- Current retention and churn rates (or estimates)
- Key value moments and activation milestones in the product
- Customer support and success team structure
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add varunk130/ai-gtm-skill-library/growth-loop@sha256:c6fbec8ac9704467

The line at the top of this page pins the label git:20261101.977906b, 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_hlqireqmynav6gz3.svg)](https://markdownregistry.com/a/art_hlqireqmynav6gz3)

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

Versions

The registry has recorded 2 versions of this file, between May 16, 2026 and Nov 1, 2026, about one every 168 days.

versioncommittedcommitsizeaudit
git:20261101.977906b latest2026-11-01 977906b 13,976 BA view · diff
git:20260516.4225f522026-05-16 4225f52 13,965 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 (13976 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_hlqireqmynav6gz3
GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/growth-loop
GET https://markdownregistry.com/api/v1/blob/c6fbec8ac9704467ec60de99ec1f072a841ed21729aefefb8e20b665edeeedc4

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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