Tw ecom analytics ga4
Skill charlieviettq/awesome-agent-skill/.claude/skills/tw-ecom-analytics-ga4
Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).
npx -y skills add charlieviettq/awesome-agent-skill --skill tw-ecom-analytics-ga4Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
"Implement GA4 for Taiwan e-commerce — Enhanced Ecommerce events (view_item, add_to_cart, begin_checkout, purchase), TW-specific parameter conventions (含稅 revenue, NT$ currency, 統編 as user property), Looker Studio reporting, and Big Query export. Use when instrumenting a TW store with GA4 or auditing existing GA4 setup. Do NOT use for generic analytics (use `ecom-analytics`). STATUS: SKELETON — body pending.".
SKILL.md
1.5 KB, as published. Nobody here has run it
GA4 for Taiwan E-Commerce
STATUS: SKELETON — body pending.
When to use this skill
- Instrumenting a TW store with GA4 Enhanced Ecommerce
- Auditing an existing GA4 setup for TW conventions
- Designing Looker Studio reports for TW KPI
- Setting up BigQuery export
- Attributing across LINE OA / marketplace channels
Do NOT use when
- Generic analytics →
ecom-analytics - Benchmarks only →
tw-ecom-analytics-benchmarks
Core concepts
TODO: GA4 event model, 含稅 revenue handling, currency = TWD, content_group usage for 檔期.
Decision tree
TODO: event → parameter mapping for TW conventions.
Implementation guidance
TODO: dataLayer template, tag setup, consent mode, BigQuery export.
Gotchas
TODO: 5-6 pitfalls (含稅 double-count, cross-domain marketplace attribution, LINE IAB tracking block, consent-mode revenue undercount, parameter cardinality limits).
IRON LAW
TODO.
Output Format
TODO.
Related
ecom-analyticstw-ecom-analytics-benchmarks
Last verified: 2026-04