Tw ecom operations promotion

Skill charlieviettq/awesome-agent-skill/.cursor/skills/asgard-ai-platform/tw-ecom-operations-promotion

Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).

Install

npx -y skills add charlieviettq/awesome-agent-skill --skill tw-ecom-operations-promotion

Assembled 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

Run Taiwan e-commerce promotional campaigns — 雙11, 618, 年中慶, 雙12, 週年慶, 母親節. Covers promo calendar, stacking rules across platforms, 檔期 pricing strategy, inventory allocation, and post-campaign 退貨 handling. Use when planning a specific campaign or building a year-round 檔期 schedule. Do NOT use for ad ROI measurement (use `ecom-promo-roi`). STATUS: SKELETON — body pending.

SKILL.md

1.9 KB, as published. Nobody here has run it

Taiwan Promotional Campaign Operations

STATUS: SKELETON — body pending.

When to use this skill

Planning a specific 檔期 (雙11, 618, 年中慶, etc.)
Building year-round 檔期 calendar
Cross-platform promo stacking design
Inventory allocation across DTC + marketplace channels during peak
Post-campaign 退貨 / 爭議 handling

Do NOT use when

Ad ROI measurement → ecom-promo-roi
Pricing strategy in isolation → tw-ecom-operations-pricing

Core concepts

TODO: TW promo calendar, stacking hierarchy, DTC vs marketplace behavior during peaks.

Decision tree

TODO: which 檔期 to participate in, channel mix, discount depth.

Implementation guidance

TODO: 檔期 plan template, inventory buffer, support staffing.

Gotchas

TODO: 5-6 pitfalls (stacking over-discount, platform fee waiver traps, inventory over-commit, return spike 2 weeks after peak, marketplace cancelation penalties).

IRON LAW

TODO.

Output Format