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 "dark-social-attributor" skill by following the instructions at https://skill123.me/install/dark-social-attributor.
Run in your terminal — downloads and installs to ~/.claude/skills/.
curl -fsSL https://skill123.me/install/dark-social-attributor.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 "figure out where our direct traffic really comes from", "measure dark social", "add a how-did-you-hear-about-us field", or "show social drives signups without click data"; produces a share-link/UTM hygiene spec for owned share surfaces, a self-reported attribution field design that replaces an existing form field (free-text first, coded later), a GA4 direct-traffic decomposition read (deep-URL directs, mobile-app skew, private-push correlation) with every derived number hard-labeled Estimated/proxy, and a branded-search-lift proxy from GSC plus Wikipedia pageviews — the declared dark-social method behind ECHO O2. Not for paid-channel attribution reconciliation (platform-claimed vs analytics conversions) — use attribution-reconciler. 暗社交归因/直接流量分解/自报来源字段/分享链路UTM
Source
- Repo: https://github.com/aaron-he-zhu/aaron-marketing-skills
- Path: social/observe/dark-social-attributor
Evaluation
AI-evaluated 2026-09-03: Honest heuristic method for estimating dark social with strict Estimated/proxy labeling, replace-not-add form-field tradeoffs, and UTM hygiene. Niche analytics task requiring GA4/GSC exports and framework context; explicitly avoids tracking pixels and in-WeChat instrumentation.