Growth Guardrails Skill
Description
AI skill: software distribution & user-acquisition strategy with compliance guardrails. Sourced case studies (AdBlock Plus / Acceptable Ads, Qihoo 360) + CN/US/EU statute-level legal matrix + dark-pattern red lines + 18-item self-audit. 软件分发与获客策略技能,含合规红线。opencode/Claude Code/Cursor compatible.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
growth-guardrails · 增长护栏
  
**Software distribution & user-acquisition strategy, with compliance guardrails built in.** 软件分发与用户获取策略研究——渠道照抄、套路变体、红线避开。
A ready-to-use AI skill that turns the "how did this app get on my machine without me asking" question into an actionable playbook. Built from deep case studies of **AdBlock Plus** (passive distribution + Acceptable Ads B2B monetization) and **Qihoo 360** (aggressive acquisition, and what it cost them), plus a jurisdiction-level compliance matrix (China / US / EU) and a copy-paste self-audit checklist.
Unlike "growth hacking" playbooks that age into lawsuits, this skill ships with guardrails: every tactic has a **compliant variant** and every red line has its **statute citation**.
Why
- Channel inventory — 8 passive-distribution channels (store placement, browser/OS integration, OEM preload, download-site bundling, cross-family referral, onboarding popups, default-settings, uninstall retention), each with a compliant and a forbidden form.
- Case studies with sources — how ABP actually got distributed (store dominance + browser integration + default-on whitelist — not OEM deals, a common misconception), the Acceptable Ads economics (30% of incremental ad revenue above 10M monthly impressions, 90% of participants free), and the full 360 playbook (family bundling, scareware popups, fake patches, silent installs, uninstall retention) with the regulatory timeline that shut it down.
- Compliance matrix — China (MIIT Decree No. 20 §9, 2023 preload notice, Internet Ad Measures §10, Anti-Unfair-Competition Law §12), US (FTC Act §5, the FTC v. Lenovo/Superfish order), EU (GDPR Art. 4(11)/7/Recital 32, CJEU Planet49, DMA Arts. 6(3)/13(6)) — a
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