skill
improve-retention
Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users sign up but dont stick around", "activation rate", "onboarding friction", "retention metrics", "why users dont complete", "churn analysis", or "aha moment". Also trigger when analyzing cohort retention curves, designing activation milestones, reducing time-to-value for new users, or investigating why users quit after their first session. Covers the Ability Chain, prompt design, and tiny behaviors that compound. For habit loops and variable rewards, see hooked-ux. For intrinsic motivation, see drive-motivation.
Description as published by the maintainer. Source
- active
active — Most recent push to the repository was 2026-07-22.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1,854 | Stars on the repository that contains this skill, not on the skill itself. A collection of fifty skills shares one number, so it says nothing about this particular skill. | cumulative, all time | GitHub | |
| Last commit | 2026-07-22 | Most recent push to the containing repository. It may reflect work on a different skill in the same collection. | point in time | GitHub | |
| repository status | active | The repository holding this skill exists and is not archived. | as of fetch | GitHub |
Will this work with your setup?
Install location suggests this is meant for claude-code. The author tagged this repository "claude-skills" on GitHub. That is their statement of intent, not a test result.
We have not run this skill against a task with and without it enabled, so we cannot tell you whether it improves anything, what it costs in tokens, or whether it duplicates behaviour your harness already has. When we have run that test, the result will appear on this page with the task, the versions and the budget it used.
The skill definition lives at improve-retention/SKILL.md in https://github.com/wondelai/skills.
Where to get it
Also from wondelai
-
wondelai-skills-37signals-way
— last commit 2026-07-22
Build lean, opinionated products using the 37signals philosophy from "Getting Real", "Rework", and "Shape Up". Use when…
-
wondelai-skills-blue-ocean-strategy
— last commit 2026-07-22
Create uncontested market space using value innovation instead of competing head-to-head. Use when the user mentions "b…
-
wondelai-skills-clean-architecture
— last commit 2026-07-22
Structure software around the Dependency Rule: source code dependencies point inward from frameworks to use cases to en…
-
wondelai-skills-clean-code
— last commit 2026-07-22
Write readable, maintainable code through disciplined naming, small functions, and clean error handling. Use when the u…
-
wondelai-skills-cold-start-problem
— last commit 2026-07-22
Start and scale networked products using Andrew Chen''s "The Cold Start Problem" framework for network effects. Use whe…
-
wondelai-skills-contagious
— last commit 2026-07-22
Engineer word-of-mouth and virality using the STEPPS framework (Social Currency, Triggers, Emotion, Public, Practical V…
-
wondelai-skills-continuous-discovery
— last commit 2026-07-22
Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snap…
-
wondelai-skills-create-app
— last commit 2026-07-22
Guided journey from a raw app idea to a validated, cleanly architected first version that ships on a sustainable cadenc…
-
wondelai-skills-create-business
— last commit 2026-07-22
Guided journey from raw idea to a validated, positioned, priced business with a chosen beachhead. Orchestrates ten skil…
-
wondelai-skills-create-website
— last commit 2026-07-22
Guided journey from a blank page to a live, high-converting website, built message-first, then design, then conversion.…
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab