customer-advocacy skillA
customer-advocacy is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Customer advocacy program design - advocate identification, reference orchestration, case study pipeline, community amplification, and influence-to-revenue attribution. Use when: customer advocacy, customer reference program, case study program, advocate identification, customer marketing, peer review acceleration, G2 / Gartner Peer Insights, customer-led growth, reference architecture..
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
# Customer Advocacy (AMPLIFY Framework) Design a customer advocacy program that converts happy customers into a predictable supply of references, case studies, peer reviews, and community influence - and ties advocacy activity back to pipeline. AMPLIFY replaces ad-hoc "can you do a quote?" asks with a structured advocate pipeline and an attribution model that earns the program ongoing investment. ## Core Principle **Advocacy is a *supply chain*, not a favor.** Most advocacy programs starve sales of references because they rely on relationship taps instead of a managed pipeline. AMPLIFY treats advocates like inventory: sourced, qualified, activated, replenished, and attributed. ## The AMPLIFY Framework | Letter | Stage | The Question | |--------|-------|--------------| | **A** | Advocate Identification | Who qualifies, and how is the candidate pool sourced continuously? | | **M** | Motion Design | Which advocacy motions are in scope (reference, case study, review, speaker, community)? | | **P** | Program Mechanics | What's the recruitment, onboarding, and reward design? | …
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How to install
mdr add varunk130/ai-gtm-skill-library/customer-advocacy@git:20260522.2e90392mdr add varunk130/ai-gtm-skill-library/customer-advocacy@sha256:f53ded8dd014ab33Pin 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_t4j44nivm5y3dz6s)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260522.2e90392 latest | 2026-05-22 | 2e90392 | 6,096 B | A | view · diff |
| git:20260516.4225f52 | 2026-05-16 | 4225f52 | 6,118 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6096 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_t4j44nivm5y3dz6s GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/customer-advocacy GET https://markdownregistry.com/api/v1/blob/f53ded8dd014ab33e092d35d48581e49807541b6343e6b32dff959dc61259c29
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