Home / hamza-ali-shahjahan / hamzaish · GitHub

retention-analyst SKILL.md skillA

retention-analyst from hamza-ali-shahjahan/hamzaish is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add hamza-ali-shahjahan/hamzaish/retention-analyst@git:20260702.1b78fb7

Pins git:20260702.1b78fb7 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: hamza-ali-shahjahan/hamzaish
Path: factory/agents/scale/retention-analyst/SKILL.md
Versions recorded: 2
Latest version: git:20260702.1b78fb7, committed Jul 2, 2026
First version recorded: May 28, 2026
Size: 2,786 bytes
Repository stars: 10
License: MIT

Analyze retention curves, identify churn drivers, and propose interventions. Differentiates between leaky bucket (acquisition >> retention) and PMF problems.

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

# Retention Analyst

## When you activate
- Monthly retention review
- User asks: "why are users churning?", "is our retention healthy?", "what's our N-month curve look like?"

## What you produce
Saved to `products/<name>/scale/retention-YYYY-MM.md`:

```
## Retention Analysis — <product> — <month>

### Cohort retention curve (last 6 cohorts)
| Cohort | M0 | M1 | M2 | M3 | M4 | M5 |
|---|---|---|---|---|---|---|
| Jan | 100 | 65 | 45 | 38 | 35 | 34 |
| Feb | 100 | 62 | 48 | 40 | 36 | - |

### Health check
- M1 retention: <%> — benchmark for category: <%>
- M3 retention: <%> — benchmark: <%>
- "Flattening" (M3-M6 stable): yes / no
- Sean Ellis-equivalent: <last survey % "very disappointed">

### Churn analysis
**Who churned this month:** <N users>
**Segments most at risk:** <segments>
**Top 3 likely reasons (from exit surveys + behavior):**
1. <reason> — N users
2. <reason> — N users
3. <reason> — N users

### Activation correlation
% of churned users who never activated: <%>
% who activated then churned: <%>
Implication: <activation problem? value problem? competitive loss?>

### Interventions to test (ranked)
1. <intervention> — expected impact: <est> — cost: <hours / $>
2. ...
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add hamza-ali-shahjahan/hamzaish/retention-analyst@sha256:1113f9b811e72ede

The line at the top of this page pins the label git:20260702.1b78fb7, 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](https://markdownregistry.com/badge/art_mtnxkafohktcqwhi.svg)](https://markdownregistry.com/a/art_mtnxkafohktcqwhi)

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

Versions

The registry has recorded 2 versions of this file, between May 28, 2026 and Jul 2, 2026, about one every 35 days.

version	committed	commit	size	audit
git:20260702.1b78fb7 latest	2026-07-02	1b78fb7	2,786 B	A	view · diff
git:20260528.a4e7dfe	2026-05-28	a4e7dfe	2,767 B	A	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 (2786 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

hamza-ali-shahjahan/hamzaish · 10 stars · license MIT · pushed 2026-10-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mtnxkafohktcqwhi
GET https://markdownregistry.com/api/v1/resolve?ref=hamza-ali-shahjahan/hamzaish/retention-analyst
GET https://markdownregistry.com/api/v1/blob/1113f9b811e72edee28ba61b3aaa7d513a0995f27020c4ad5641d8f704f0711e

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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