voice-of-customer SKILL.md skillA

voice-of-customer 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/voice-of-customer@git:20261028.2255a14

Pins git:20261028.2255a14 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/voice-of-customer/SKILL.md
Versions recorded
3
Latest version
git:20261028.2255a14, committed Oct 28, 2026
First version recorded
May 16, 2026
Size
6,027 bytes
Repository stars
7
License
MIT

Voice of Customer program - multi-source signal collection, theming and prioritization, evidence-to-action routing, and product / CS / marketing feedback loop closure. Use when: voice of customer, VoC program, customer feedback, NPS / CSAT / CES, qualitative theming, feedback synthesis, product feedback loop, customer insight engine.

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

# Voice of Customer (ECHO Framework)

Design a Voice-of-Customer program that turns raw feedback into routed, prioritized, evidence-backed actions - not a quarterly NPS report nobody reads. ECHO replaces ad-hoc surveys with a multi-source signal pipeline that PMs, CS, and marketing all rely on.

## Core Principle

**VoC fails when it conflates *collection* with *insight*.** A survey isn't a program. ECHO standardizes how signal is elicited, themed, prioritized, and *closed* - with the loop back to the customer being the most often skipped step.

## The ECHO Framework

| Letter | Stage | The Question |
|--------|-------|--------------|
| **E** | Elicit | What sources are tapped, with what cadence, and how is bias controlled? |
| **C** | Categorize | How is feedback themed, tagged, and made queryable? |
| **H** | Highlight | What prioritization frame separates signal from noise? |
| **O** | Operationalize | Who owns the action, what's the SLA, and how is the loop closed with the customer? |

## Elicitation Sources

A robust program reads from **multiple channels** and triangulates:

| Source | Quality | Volume | Bias Risk |
|--------|---------|--------|-----------|
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add varunk130/ai-gtm-skill-library/voice-of-customer@sha256:7d73149b03433196

The line at the top of this page pins the label git:20261028.2255a14, 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_3erx65qxf5sfgd4a.svg)](https://markdownregistry.com/a/art_3erx65qxf5sfgd4a)

4 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:20261028.2255a14 latest2026-10-28 2255a14 6,027 BA view · diff
git:20260522.2e903922026-05-22 2e90392 6,026 BA view · diff
git:20260516.4225f522026-05-16 4225f52 6,058 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 (6027 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_3erx65qxf5sfgd4a
GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/voice-of-customer
GET https://markdownregistry.com/api/v1/blob/7d73149b034331964a7fe32cd5e71179c34f63b22643bbe0c3443fa40ec66796

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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