task74
Skill19 starsChanged 5 months agoMITView on GitHub
订单利润分析. Use when: 需要分析客户订单利润率, 结合CRM订单、库存成本和财务收款数据进行交叉核算.
In this repository78 other files it gives its agents.
- agent-browserSkill
- clawbenchz_vault_1Skill
- cloud-assistantSkill
- cloud-routerSkill
- self-improvementSkill
- task100Skill
- task101Skill
- task102Skill
- task18Skill
- task19Skill
- task23Skill
- task24Skill
- task25Skill
- task33Skill
- task34Skill
- task35Skill
- task36Skill
- task37Skill
- task38Skill
- task39Skill
- task40Skill
- task41Skill
- task42Skill
- task43Skill
- task44Skill
- task45Skill
- task46Skill
- task47Skill
- task48Skill
- task49Skill
- task50Skill
- task51Skill
- task52Skill
- task53Skill
- task54Skill
- task55Skill
- task56Skill
- task57Skill
- task58Skill
- task59Skill
- task60Skill
- task61Skill
- task62Skill
- task63Skill
- task64Skill
- task65Skill
- task66Skill
- task67Skill
- task68Skill
- task69Skill
- task70Skill
- task71Skill
- task72Skill
- task73Skill
- task75Skill
- task76Skill
- task77Skill
- task78Skill
- task79Skill
- task80Skill
- The first 60 shown.
The file
Files
订单利润分析 Skill
CRM API
Base URL: http://localhost:9110
| Action | Endpoint | Required Body |
| 列出客户 | POST /crm/customers | { "status": <string>, "tier": <string> } |
| 获取客户详情 | POST /crm/customers/get | { "customer_id": <string> (required) } |
Inventory API
Base URL: http://localhost:9108
| Action | Endpoint | Required Body |
| 查看库存/产品列表 | POST /inventory/products | { "category": <string> } |
| 获取产品详情 | POST /inventory/products/get | { "product_id": <string> (required) } |
Finance API
Base URL: http://localhost:9104
| Action | Endpoint | Required Body |
| 查看交易记录 | POST /finance/transactions | { "start_date": <string>, "end_date": <string> } |
| 获取交易详情 | POST /finance/transactions/get | { "transaction_id": <string> (required) } |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

