Tw ecom operations customer service

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

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-customer-service

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

Taiwan e-commerce customer service — LINE / Messenger / email / phone channel mix, 消保法鑑賞期 scripts, PTT/Dcard reputation monitoring, 負評 response, and SLA targets for the TW market. Use when designing CS SOP, training CS agents, or responding to viral 負評. Do NOT use for generic chatbot design (use `cs-chatbot-design`). STATUS: SKELETON — body pending.

SKILL.md

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Taiwan E-Commerce Customer Service

STATUS: SKELETON — body pending.

When to use this skill

Designing a CS SOP for a TW store
Training agents on 鑑賞期 / 退貨 scripts
Monitoring PTT / Dcard / mobile01 for 負評
Responding to a viral 負評 thread
Setting SLA targets (first-response / resolution)

Do NOT use when

Generic chatbot design → cs-chatbot-design
Crisis PR (non-CS) → pr-crisis-response

Core concepts

TODO: channel mix, TW consumer complaint culture, PTT / Dcard etiquette.

Decision tree

TODO: complaint → channel → script template.

Implementation guidance

TODO: SOP template, escalation ladder, monitoring setup.

Gotchas

TODO: 5-6 pitfalls (鑑賞期 over-promise, PTT Streisand effect, LINE 1-to-1 burnout, negative-review response template pitfalls, 消保官 tone).

IRON LAW

TODO.

Output Format