Installation
Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.
Install the "early-access-designer" skill by following the instructions at https://skill123.me/install/early-access-designer.
Run in your terminal — downloads and installs to ~/.claude/skills/.
curl -fsSL https://skill123.me/install/early-access-designer.sh | bash
Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.
⬇ Download v1.0.0 · 5 KBAbout this skill
Overview
Use when the user asks to "design an early access program", "set up a waitlist and beta stages", or "define beta graduation criteria"; produces a waitlist→concept→alpha→beta→GA stage ladder with per-stage purpose and opt-in semantics, quantified graduation criteria per stage (labeled Estimated), a cohort-gating and invite-throttling plan, tester recruitment with launch-day social-proof prep, a feedback-loop spec where every status change notifies its subscribers, and a referral-loop mechanism spec (invite codes, anti-abuse). Not for waitlist acquisition strategy or the capture-flow spec — use list-growth-designer; not for the canonical stage record — use launch-registry. waitlist/内测阶梯/抢先体验/毕业标准/反馈闭环
Source
- Repo: https://github.com/aaron-he-zhu/aaron-marketing-skills
- Path: launch/research/early-access-designer
Evaluation
AI-evaluated 2026-09-03: Detailed stage-ladder design with quantified graduation criteria, opt-in state-machine semantics, no-incentivized-review compliance, and referral anti-abuse guards; like the rest of the suite it leans on registry/connector infrastructure for a fairly niche early-access planning need.