跳到正文
cccskills
免费在 GitHub 公开

"ecom-conversational"

"Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies. Use this skill when the user needs to sell through LINE, WhatsApp, Instagram DM, or other messaging channels, design chatbot purchasing flows, or integrate messaging into their sales funnel — even if they say 'sell through LINE', 'build a shopping chatbot', 'customers ask to buy in our DMs', or 'conversational sales strategy'.".

中文简介正在准备中。当前显示原文说明。

集成工具Instagram
查看安装方法

包含的文件(4)

  • SKILL.md4.9 KB
  • examples/sample_scenario.md5.8 KB
  • references/chatbot-design.md10.9 KB
  • references/line-oa-setup.md8.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Conversational Commerce

Framework

IRON LAW: Conversation First, Commerce Second

Conversational commerce works because it meets customers WHERE THEY
ALREADY ARE (messaging apps). Forcing a sales pitch into a chat channel
kills trust. The conversation must provide genuine value (answering questions,
solving problems) BEFORE introducing products or purchases.

The sequence: Help → Trust → Recommend → Convert

Platform Comparison (Asia-Pacific Focus)

PlatformUsers (Taiwan)Commerce FeaturesBest For
LINE21M+ (95% penetration)LINE Shopping, Rich Menu, LIFF, paymentTaiwan, Japan, Thailand primary channel
Instagram DM~10MShop tags, quick replies, product stickersVisual products, younger demographic
Facebook Messenger~18MShops integration, automated responsesBroad reach, older demographic
WhatsAppLimited in TaiwanCatalog, cart, payment (select markets)SEA, India, Brazil
WeChat~1M (Taiwan)Mini Programs, WeChat PayChina-connected businesses

Conversation Flow Design

1. Entry Points — How customers start the conversation

  • QR code in store, ad click-to-message, website chat widget, social media link

2. Welcome Flow — First 3 messages

  • Greet warmly, set expectations, offer navigation options
  • Rich menu (LINE) or quick reply buttons — don't ask open-ended questions early

3. Product Discovery — Help them find what they need

  • Guided questions: "What are you looking for?" → category → product
  • Product cards with image, price, and "Buy" button
  • AI-powered recommendations based on conversation context

4. Purchase Flow — Minimize friction

  • In-chat checkout where possible (LINE Pay, in-app payment)
  • If redirecting to website, deep-link to the specific product (not homepage)
  • Order confirmation message with tracking

5. Post-Purchase — Retain and upsell

  • Shipping updates via message
  • Follow-up: "How's the product?" (7 days after delivery)
  • Personalized recommendations based on purchase history

Chatbot vs Human Handoff

ScenarioHandle with BotHand off to Human
FAQ (hours, shipping, returns)✓—
Product recommendations (simple)✓—
Complex product questions—✓
Complaints / issues—✓ (immediately)
High-value purchasesBot assists → human closes✓

Key metric: Bot containment rate (% resolved without human) — target 60-70% for mature bots.

Output Format

# Conversational Commerce Plan: {Business}

## Channel Selection
- Primary: {platform} — rationale: {why}
- Entry points: {QR / ad / social / website}

## Conversation Flow
1. Welcome: {message template}
2. Discovery: {question flow}
3. Product Card: {template}
4. Checkout: {in-chat / redirect}
5. Post-purchase: {follow-up sequence}

## Bot vs Human Split
| Scenario | Handler | SLA |
|----------|---------|-----|
| {scenario} | Bot/Human | {response time} |

## KPIs
| Metric | Target |
|--------|--------|
| Response time | < {X} seconds (bot) / < {X} minutes (human) |
| Containment rate | > 60% |
| Conversation-to-purchase rate | > {X%} |
| Customer satisfaction (CSAT) | > 4.0/5 |

Gotchas

  • LINE Official Account tiers matter: Free tier limits monthly messages. If you exceed, messages are throttled. Budget for premium tier if customer base > 500.
  • Don't over-automate: A bot that can't understand the question and loops "I didn't understand, please choose from the menu" destroys trust faster than no bot at all. Always offer a human escalation path.
  • Messaging is asynchronous: Unlike phone calls, customers expect to message and come back later. Design flows that work with interruptions — save cart state, remember context.
  • Privacy in messaging: Chat history is personal. Don't share conversations internally without consent, and be transparent about data usage.
  • Social commerce is exploding in SEA/Taiwan: LINE Shopping, Instagram Shopping, TikTok Shop — these blur the line between social and commerce. Treat them as primary channels, not add-ons.

References

  • For LINE Official Account setup, see references/line-oa-setup.md
  • For chatbot NLU design patterns, see references/chatbot-design.md

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

"Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Optimize advertising budget allocation across campaigns using marginal returns analysis. Use this skill when the user needs to distribute budget across multiple campaigns, optimize spend pacing, or maximize overall ROAS under budget constraints — even if they say 'how to split my ad budget', 'campaign budget optimization', or 'diminishing returns on ad spend'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Build CTR prediction models for estimating ad click-through rates from features. Use this skill when the user needs to predict click probability, build an ad ranking model, or evaluate ad creative performance — even if they say 'predict click rate', 'ad relevance scoring', or 'which ad will get more clicks'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement Generalized Second Price auction for ad slot allocation and pricing. Use this skill when the user needs to understand search ad auctions, compute ad positions and costs-per-click, or analyze bidding dynamics — even if they say 'how does Google Ads auction work', 'ad rank calculation', or 'second price auction for ads'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement VCG mechanism for incentive-compatible ad slot allocation with truthful bidding. Use this skill when the user needs to design a truthful auction mechanism, compute externality-based payments, or understand why platforms may prefer GSP over VCG — even if they say 'truthful auction design', 'VCG payments', or 'incentive-compatible mechanism'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Explain blockchain fundamentals including distributed ledger architecture, consensus mechanisms, and block structure. Use this skill when the user needs to understand blockchain concepts, evaluate whether blockchain fits a use case, or design a blockchain-based solution — even if they say 'how does blockchain work', 'do I need blockchain', or 'distributed ledger'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

查看 charlieviettq 的全部技能

报告此技能的问题