Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cnfeat/top-pm-skills --skill retention-engagementgit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cnfeat/top-pm-skills/retention-engagement)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/retention-engagement"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/retention-engagement/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/retention-engagement"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/retention-engagement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00846 |
| Opus 5 | $0.00020 | $0.00423 |
| Sonnet 5 | $0.00008 | $0.00169 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
retention-engagement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retention & Engagement
Help the user improve retention and engagement using frameworks from 29 product leaders.
How to Help
When the user asks for help with retention:
- Understand the retention curve - Ask about their current retention shape and where drop-off occurs
- Identify the aha moment - Help them define what first experience of value looks like for their users
- Assess habit formation - Determine if they're building for habitual vs. occasional use
- Design retention loops - Create mechanisms that compound user value over time
Core Principles
Retention is gold for subscription businesses
Albert Cheng: "User retention is gold for consumer subscription companies. If you don't retain your users, then a lot of the onus is on getting them to pay on day one." Retention reduces pressure for immediate monetization and is the primary driver of subscription success.
Products should get better with use
Sarah Tavel: "The test for me, of whether you're building a product that has the ingredients to create a retentive product on a micro level, just at the user level, is that the product should get better the more you use it, and you'll have more to lose by leaving it." True retention is built when a product creates accruing benefits and mounting loss over time.
Daily return is the biggest problem to solve
Jackson Shuttleworth: "What Duolingo really focuses on is, how do we help users build habits around language learning? Getting user come back the next day is the biggest problem to solve." For habit-forming products, next-day return is the most critical metric to optimize.
Onboarding is the highest-leverage retention investment
Kristen Berman: "I've consistently seen that improving onboarding is one of the highest leverage opportunities for both signup conversion and increasing long term retention. Getting people to your aha moment more quickly and reliably is so incredibly important." Accelerating time to value in onboarding compounds across the entire user lifecycle.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 68 lines · 41 tokens per session scan A 1ae1df9e8b0e
retention-engagement is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 846 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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