task80
Skill19 starsChanged 5 months agoMITView on GitHub
补货链路检查. Use when: 需要排查自动补货系统故障链路, 涉及定时任务状态检查、API集成配置诊断和库存水位分析.
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
- task74Skill
- task75Skill
- task76Skill
- task77Skill
- task78Skill
- task79Skill
- The first 60 shown.
The file
Files
补货链路检查 Skill
Scheduler API
Base URL: http://localhost:9112
| Action | Endpoint | Required Body |
| 列出定时任务 | POST /scheduler/jobs | { "status": <string>, "tag": <string> } |
| 获取定时任务详情 | POST /scheduler/jobs/get | { "job_id": <string> (required) } |
Config API
Base URL: http://localhost:9111
| Action | Endpoint | Required Body |
| 查看集成配置列表 | POST /config/integrations | { "status": <string> } |
| 获取集成配置详情 | POST /config/integrations/get | { "integration_id": <string> (required) } |
Inventory API
Base URL: http://localhost:9108
| Action | Endpoint | Required Body |
| 查看库存列表 | POST /inventory/products | { "category": <string> } |
| 获取库存品详情 | POST /inventory/products/get | { "product_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.