Agent skill · Design & Presentation

retention-loop-design

Design retention and engagement loops that bring users back. Use when asked to improve retention, design an engagement/habit loop, fix a leaky retention curve, or build a re-engagement system. Produces a retention design — the retention curve diagnosis, the core habit loop (trigger→action→reward→investment), the activation→habit path, re-engagement triggers, and the metrics to watch.

mohitagw15856github.com/mohitagw15856GitHub ↗
claude-codecursorMIT
Install
npx skills add mohitagw15856/pm-claude-skills --skill retention-loop-design --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/retention-loop-design/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,255
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Retention Loop Design Skill Acquisition without retention is a leaky bucket — you pay to fill it and it drains. This skill diagnoses *where and why* users drop, then designs the loop that makes the product habitual: the trigger that brings them back, the value they get, and the investment that makes the next visit more likely. Retention is the truest measure of product-market fit. ## Required Inputs Ask for these only if they aren't already provided: - **The retention curve** — how usage decays over time (D1/D7/D30, or weekly cohorts); does it flatten or go to zero? - **The core value & natural frequency** — what users come for, and how often they'd genuinely need it. - **Activation definition** — the early action that correlates with sticking (or note it's unknown). - **Current loops** — any notifications, streaks, or re-engagement already in place. ## Output Format ### Retention Design: [product] **1. Curve diagnosis** — read the retention curve: does it **flatten** (a retained core exists — good) or **decay to zero** (no PMF for this segment)? Identify the drop-off point and the cohort that retains best (your beachhead). **2. Activation → habit** — the early "setup moment" and

What's inside
Steps it walks through
  1. Required Inputs
  2. Output Format
  3. Retention Design: [product]
  4. Quality Checks
  5. Anti-Patterns
  6. Based On
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About this skill
What does the retention-loop-design skill do?

Design retention and engagement loops that bring users back. Use when asked to improve retention, design an engagement/habit loop, fix a leaky retention curve, or build a re-engagement system. Produces a retention design — the retention curve diagnosis, the core habit loop (trigger→action→reward→investment), the activation→habit path, re-engagement triggers, and the metrics to watch.

How do I install it?

Run `npx skills add mohitagw15856/pm-claude-skills --skill retention-loop-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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