game-marketing_skill

This skill guides launch and growth of Telegram Mini App games, setting viral channels, monetization, and automation for rapid user acquisition.

Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill game-marketing

_meta.json281 B
SKILL.md16.5 KB

Overview

This skill is a Telegram Mini App game marketing playbook that guides step-by-step launch and growth for new or existing Mini App games. It covers channel setup, viral mechanics, monetization, automation, and metrics-based decision trees. The content is practical, checklist-driven, and ready to run as launch phases and cron-driven automations.

How this skill works

It inspects and organizes marketing tasks into phased checklists from pre-launch to scaling, plus channel-specific templates for Telegram, TikTok, Reddit, and blogs. It defines viral features (referrals, leaderboards, daily check-ins), monetization thresholds, and cronjob ideas for automated reporting and content reminders. Performance thresholds (D1/D7 retention, viral coefficient K, ARPDAU) drive concrete actions and experiments.

When to use it

Preparing for a new Telegram Mini App game launch (1–8+ weeks)
Optimizing marketing for an existing Mini App with low retention or growth
Setting up automated reports, leaderboards, or social posting workflows
Designing referral and reward systems to trigger viral loops
Deciding when and how much ad revenue to reinvest in user acquisition

Best practices

Prioritize zero-install play and strong first 2–3 seconds of onboarding
Build viral mechanics before running paid ads; make inviter rewards larger
Invest 30–50% of ad revenue back into user acquisition as you scale
Use D1/D7/D30 retention and viral coefficient K to trigger product changes
Automate routine reporting (DAU, retention, revenue) and social reminders

Example use cases

Run the Phase 0 checklist one week before D-Day to ensure assets, tracking, and referral flows are ready
Automate a weekly leaderboard post to Telegram channel via a cronjob that pulls game API data
Use TikTok/Shorts content templates to produce 3–5 posts weekly that drive organic installs
Deploy an affiliate program and micro-influencer outreach in Phase 3 to accelerate growth
Apply the monetization decision tree to decide when to enable rewarded ads, interstitials, or subscriptions

FAQ

Healthy benchmarks: D1 > 25%, D7 > 10%. If below, prioritize onboarding and daily loop improvements.

When should I start paid ads?

Start paid ads after stable viral mechanics and D1 retention >20%; reinvest 30–50% of ad revenue into acquisition as you scale.