growth-loop skillA
growth-loop is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns 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 …
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How to install
mdr add varunk130/ai-gtm-skill-library/growth-loop@git:20260516.4225f52mdr add varunk130/ai-gtm-skill-library/growth-loop@sha256:b225cd91c80c72e1Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_hlqireqmynav6gz3)
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Versions
Audit of the latest version
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- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13965 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
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · 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/b225cd91c80c72e176ce054c7134e459cb4243ca2940ff4a5c3fc524332ce5e5
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