task54
Skill19 starsChanged 5 months agoMITView on GitHub
Scheduled Job Failure & Ticket Correlation. Use when: 需要分析定时任务失败记录与用户工单之间的关联, 进行根因定位和优先级排序.
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
- 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
- task80Skill
- The first 60 shown.
The file
Files
定时任务故障与工单关联分析 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（含执行历史） | POST /scheduler/jobs/get | { "job_id": <string> (required) } |
Helpdesk API
Base URL: http://localhost:9107
| Action | Endpoint | Required Body |
| 列出工单 | POST /helpdesk/tickets | { "status": <string> } |
| 获取工单详情 | POST /helpdesk/tickets/get | { "ticket_id": <string> (required) } |
| 更新工单（优先级、标签、分类） | POST /helpdesk/tickets/update | { "ticket_id": <string> (required), "priority": <string>, "tags": <array>, "category": <string> } |
| 关闭工单 | POST /helpdesk/tickets/close | { "ticket_id": <string> (required), "resolution": <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.