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.
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.
Stronger alternatives
This repository is archived — consider an actively maintained alternative.
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Claude CodeNot declared
CursorNot declared
CodexNot declared
GitHub CopilotNot declared
WindsurfNot declared
Gemini CLINot declared
ClineNot declared
OpenCodeNot declared
Repository health
Stars3
LicenseLICENSE
Default branchmain
Open issues0
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 mdSKILL.md3,160 B
docsSUMMARY.md514 B
History
First seen on skills.sh
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