chefroger/smart-trade-ai/b2b-daily-automation
Claude Code and agent skill by chefroger/smart-trade-ai
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Checking that the SKILL.md file is still in the repository.
定时任务自动化 — 早安简报、日报/周报、定时发布、自动化工作流
Install
npx vskill@latest install chefroger/smart-trade-ai/b2b-daily-automationSKILL.md
🌅 早安简报规范(Morning Brief Specification)
【最重要】简报中的所有数据必须通过 web_search 实时获取,不得编造、不得留空、不得使用占位符。
执行步骤
- 使用
web_search搜索以下信息(逐项搜索,每项至少 2 次不同关键词):
- 当日美元/欧元/英镑兑人民币汇率(搜索 "USD CNY exchange rate today")
- 当日金价、铜价、铝价、原油价(搜索 "gold price today" / "copper LME price" / "crude oil price today")
- 目标市场新闻(搜索每个目标市场的 top business news today)
- 如果用户配置了产品行业(如 "电力金具"),搜索该行业的今日新闻
- 从数据库查询:
- 昨日对话记录中的客户互动
- 客户管理中的待跟进客户(A 级优先)
- 输出格式(数值必须来自搜索结果,不得有空白项):
Generated by Foreign Trade Assistant | Tasks for your review
LinkedIn Post — Ready to Publish
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Content — optimized for LinkedIn engagement]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📝 Caption: [Full post text with hashtags]
🏷️ Hashtags:
#[Industry] #[Product] #[B2B] #[Sourcing] #[CompanyName]
⏰ Best time to post: 09:30 AM local time ✅ Ready to paste and publish
TO: [Recipient Email] SUBJECT: [Personalized subject line]
Hi [Name],
[Personalized opening — reference something specific about them]
[Body — value proposition, specific to their industry/needs]
[Call to action — specific, easy to respond to]
Best regards, [Your Name] [Title] | [Company] [Phone] | [WeChat]
ALIBABA INTERNATIONAL STATION: □ New RFQ/ inquiries: [X] □ Pending quotes to follow up: [X] □ Product views/lead changes: [X] □ Competitor activity: [Notes]
MADE-IN-CHINA / OTHER PLATFORMS: □ New messages: [X] □ Action items: [Notes]
ACTION ITEMS FOR TODAY:
- [ ] Respond to [X] new inquiries
- [ ] Follow up on [X] pending quotes
- [ ] [Other task]
Social Media Post — Ready to Publish
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Platform: [Facebook/Instagram/TikTok/YouTube] Scheduled time: [14:00 local time]
📝 Caption/Description: [Full post text]
🏷️ Hashtags: [Platform-specific hashtags]
🖼️ Media: [Description of image/video to use]
✅ Ready to schedule or publish
📊 每日工作总结 — {日期}
今日操作回顾
(从今日聊天记录中提取实际完成的操作类型和数量)
- 客户背调: X 项
- 开发信/邮件: X 封
- 文档生成: X 份
- 平台诊断: X 次
- 其他: ...
定时任务执行情况
(从 cron output 目录读取今日各任务的输出,简述每个任务产出)
- 早安简报: 已生成 / 未执行
- LinkedIn 加人: 已生成 X 个搜索方案
- ...
今日客户变动
- 新增客户: (列出名字,无则写"无")
- 更新客户: (列出名字和更新内容摘要)
待跟进提醒
(从聊天记录中提取涉及客户沟通的内容)
| 客户 | 今日互动摘要 | 建议下一步 | 优先级 | |
|---|---|---|---|---|
| ... | ... | ... | ... |
明日建议
(基于今天未完成的事项和待跟进客户,给出 3-5 条具体建议)
Generated by Foreign Trade Assistant
📈 Weekly Report — Week [X] ([Start Date] - [End Date])
Executive Summary
[2-3 sentences: How was this week overall?]
Key Metrics
| Metric | This Week | Last Week | Change | vs Target | |
|---|---|---|---|---|---|
| New inquiries | [X] | [X] | [+/-X%] | [vs Target] | |
| Quotes sent | [X] | [X] | [+/-X%] | [vs Target] | |
| Orders closed | [X] | [X] | [+/-X%] | [vs Target] | |
| Revenue | [Currency] | [Currency] | [+/-X%] | [vs Target] | |
| Follow-ups | [X] | [X] | [+/-X%] | — | |
| Social engagement | [X] | [X] | [+/-X%] | — |
Pipeline Status
| Stage | Count | Value | |
|---|---|---|---|
| New inquiries | [X] | — | |
| Under negotiation | [X] | [Currency] | |
| Pending sample approval | [X] | — | |
| Pending order confirmation | [X] | [Currency] |
Top Wins This Week
- [Win 1]: [Description — customer, product, value]
- [Win 2]: [Description]
Challenges & Blockers
| Challenge | Impact | Action Needed | |
|---|---|---|---|
| [Challenge 1] | [Impact] | [Action] |
Customer Spotlight
🏆 Top Customer: [Name]
- This week: [Activity]
- YTD revenue: [Amount]
⚠️ At-Risk: [Name]
- Risk: [Description]
- Action taken: [Action]
Next Week's Plan
Priorities
- [ ] [Priority 1]
- [ ] [Priority 2]
- [ ] [Priority 3]
Key Dates
- [Meeting/Call on Day]
- [Quote follow-up due]
- [Sample delivery expected]
Social Media Performance
| Platform | Posts | Engagement | Best Performer | |
|---|---|---|---|---|
| [X] | [X] impressions | [Post topic] | ||
| [X] | [X] reach | [Post topic] | ||
| [X] | [X] reach | [Post topic] | ||
| TikTok | [X] | [X] views | [Post topic] |
Week [X] of [Year] | Prepared by Foreign Trade Assistant
Morning Brief — 08:00 Monday-Friday
trade cron create \ --name "Morning Brief" \ --schedule "0 8 1-5" \ --deliver local \ --prompt "按照 b2b-daily-automation 技能中的「早安简报规范」生成今日简报。必须使用 web_search 逐项搜索实时汇率(USD/EUR/GBP→CNY)、大宗商品价格(金/铜/铝/原油)、目标市场新闻。查询昨日对话记录和客户待跟进清单。所有数值必须来自搜索结果,不得编造或留空。输出格式严格遵守简报规范模板。"
LinkedIn Post — 09:30 Monday-Friday
trade cron create \ --name "LinkedIn Post" \ --schedule "30 9 1-5" \ --deliver local \ --prompt "Generate LinkedIn post ready to publish. Include: engaging text post with hook, value proposition, and CTA. Add 5 relevant hashtags. User is in [INDUSTRY] exporting [PRODUCT]. Content should be professional but authentic."
European Outreach — 10:00 Monday-Friday
trade cron create \ --name "EU Outreach" \ --schedule "0 10 1-5" \ --deliver local \ --prompt "Generate [X] personalized outreach emails for European prospects/customers in [COUNTRIES]. For each: reference something specific about them, explain value proposition, include clear CTA. Check CRM for follow-up sequence."
Platform Check — 11:00 Monday-Friday
trade cron create \ --name "Platform Check" \ --schedule "0 11 1-5" \ --deliver local \ --prompt "Generate platform review checklist for today. Include: new RFQ count, pending quotes requiring follow-up, product view trends, competitor activity notes. Platforms: [ALIBABA/INDIAMART/ETC]."
Social Media — 14:00 Monday-Friday
trade cron create \ --name "Social Media Post" \ --schedule "0 14 1-5" \ --deliver local \ --prompt "Generate social media post for [PLATFORM]. Today's content type: [TEXT/IMAGE/VIDEO/POLL]. Include: caption, hashtags, media suggestions. User exports [PRODUCT] targeting [AUDIENCE]."
US Outreach — 16:00 Monday-Friday
trade cron create \ --name "US Outreach" \ --schedule "0 16 1-5" \ --deliver local \ --prompt "Generate [X] personalized outreach emails for US/Americas prospects/customers. Same structure as EU outreach. Target markets: [US/CANADA/LATAM]."
Daily Summary — 17:30 Monday-Friday
trade cron create \ --name "Daily Summary" \ --schedule "30 17 1-5" \ --deliver local \ --prompt "生成每日工作总结。按以下步骤从实际数据中收集信息,不编造任何内容:1) database 工具查询 conversations 表今天的所有对话,提取实际操作类型;2) read_file 读取 ~/.hermes/cron/output/ 下今天各任务的输出文件;3) database 工具查询 customers 表今天新增/更新的客户;4) 从聊天记录中提取涉及客户沟通的内容生成待跟进提醒。所有数据必须来自工具查询结果,没有数据则写'今日无记录'。遵循 b2b-daily-automation SKILL.md 中 Task 7 的模板格式。"
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ Cron │───▶│ Trade │───▶│ User │ │ Tasks │ │ Assistant │ │ Executes │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ │ ▼ │ │ ┌─────────────┐ │ │ │ CRM │◀──────────┘ │ │ Updates │ └──────────▶│ (next day)│ └─────────────┘
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/b2b-daily-automation/SKILL.md
Popularity
- Repository stars
- 93
- Repository forks
- 12
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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