churn-analysis SKILL.md skillA

churn-analysis from amey-thakur/ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amey-thakur/ai-skills/churn-analysis@git:20260720.41d8423

Pins git:20260720.41d8423 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amey-thakur/ai-skills
Path
skills/business-growth/churn-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260720.41d8423, committed Jul 20, 2026
Size
4,004 bytes
Repository stars
14
License
MIT

Diagnose churn through cohort decomposition, leading indicators, and exit evidence, then fix causes over symptoms. Use when retention is slipping or a churn-reduction effort needs a target.

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

# Churn analysis

Churn is a lagging aggregate of many different goodbyes. The
analysis job is decomposition: who leaves, when in their lifecycle,
from which segment, preceded by what: because each cluster has a
different cure and "reduce churn" targets none of them.

## Method

1. **Decompose by cohort and lifecycle stage.** Retention
   curves per signup cohort (see saas-metrics' cohort
   discipline): early churn (first 30-60 days) is
   activation and expectation failure (see
   user-activation, landing-page-strategy's promise);
   mid-life churn is value plateau or champion loss;
   late churn is pricing, competition, or company death
   (uncontrollable: measure it separately so it does not
   fog the fixable). The curve's *shape* is the
   diagnosis: a cliff then flat means onboarding; steady
   decay means ongoing value questions.
2. **Segment until the signal appears.** By plan, size,
   acquisition channel, use case, geography: blended
   churn hides that one segment is hemorrhaging while
   another is fine (see saas-metrics' blending warning);
   high churn concentrated in one channel's signups is
   an acquisition-quality finding, not a product one
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amey-thakur/ai-skills/churn-analysis@sha256:b442037dc541a71e

The line at the top of this page pins the label git:20260720.41d8423, 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_hxn7kskn2wlca3t2.svg)](https://markdownregistry.com/a/art_hxn7kskn2wlca3t2)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 20, 2026.

versioncommittedcommitsizeaudit
git:20260720.41d8423 latest2026-07-20 41d8423 4,004 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 (4004 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

amey-thakur/ai-skills · 14 stars · license MIT · pushed 2026-09-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hxn7kskn2wlca3t2
GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/churn-analysis
GET https://markdownregistry.com/api/v1/blob/b442037dc541a71e7fbff32dbbe04d7ecd6f66c16cb6b24d9ef649a8b6b52315

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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