hktitan/duolingo · Archived

duo-retention

Duolingo-style retention engineering for any product — habit loops, streaks, leagues, churn diagnostics, day-N drop-off, and the discipline of building a "forever product." Use when the user asks how to keep users coming back, debug churn, design a streak system, time push notifications, run a leaderboard, or shift a product's metric from acquisition to retention.

First seen May 4, 2026

Installation

$ npx skills add hktitan/duolingo --skill duo-retention

Summary

  • Duolingo-style retention engineering for any product — habit loops, streaks, leagues, churn diagnostics, day-N drop-off, and the discipline of building a "forever product." Use when the user asks how to keep users coming back, debug churn, design a streak system, time push notifications, run a leaderboard, or shift a product's metric from acquisition to retention.
  • Source the Duolingo Handbook (Take the Long View) and blog data posts; translate every pattern to the user's actual product.

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Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 3
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
More metadata
author
HKTITAN
version
1.0.0
graph
1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,160 B
  • docs SUMMARY.md 514 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 21 installs

SKILL.md

Duolingo Retention — Map of Content

Duolingo's central business bet is that retention compounds and acquisition does not. The handbook frames the company as a "forever product": every decision is judged by long-term retention, not short-term revenue. This skill packages that bet into reusable patterns.

This skill is structured as a graph: scan the descriptions below, follow only the [[wikilinks]] you need. Don't read every node up front.

Foundations

  • [[references/forever-product]] — the operating premise: optimize for users who stick around for years, not quarters.
  • [[references/habit-loop]] — trigger → action → variable reward → investment, the spine of every retention move.
  • [[references/retention-vs-revenue]] — the explicit tradeoff Duolingo makes (and limits) between monetization and long-term return.

Behavioral mechanics

  • [[references/streak-mechanics]] — the daily-counter habit engine that became the company's icon.
  • [[references/streak-freeze]] — why protecting the streak is the retention move, not the gentle one.
  • [[references/loss-aversion]] — the asymmetry that makes streaks work: losing hurts more than winning feels good.
  • [[references/variable-reward]] — unpredictable payoffs (chests, league finishes) outperform predictable ones.
  • [[references/friction-as-stickiness]] — small required actions that build identity and habit.

Social and competitive layers

  • [[references/leagues]] — weekly time-boxed competition with promotion and demotion.
  • [[references/daily-quests]] — short-horizon goals that set up the long-horizon streak.

Diagnosing and fixing churn

  • [[references/churn-diagnostics]] — how to find the day where users drop and what each drop-off shape implies.
  • [[references/notification-discipline]] — the long-term cost of over-notifying, and how Duolingo decides cadence.

Sibling skills

  • [[../duo-gamification/SKILL]] — the play layer (XP, juicy feedback, hearts) that makes the retention loops survivable.
  • [[../duo-voice/SKILL]] — the copy layer that makes a push notification fire instead of fizzle.
  • [[../duo-experimentation/SKILL]] — every retention claim in this skill was originally an A/B test; here's how to run yours.
  • [[../duo-product/SKILL]] — the "forever product" mental model lives in the product skill too; the long-view bet starts there.

Sources

  • Duolingo Handbook (2025), Principle #1: Take the Long View
  • blog.duolingo.com — streak society, league design, push-notification science posts