task72
Skill19 starsChanged 5 months agoMITView on GitHub
出差规划. Use when: 需要根据出差邀请邮件、日历冲突检测和当地同事联系方式综合规划出差方案.
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
- task73Skill
- task74Skill
- task75Skill
- task76Skill
- task77Skill
- task78Skill
- task79Skill
- task80Skill
- The first 60 shown.
The file
Files
出差规划 Skill
Gmail API
Base URL: http://localhost:9100
| Action | Endpoint | Required Body |
| 获取收件箱邮件列表 | POST /gmail/messages | { "days_back": <integer>, "max_results": <integer> } |
| 根据邮件ID获取邮件详情 | POST /gmail/messages/get | { "message_id": <string> (required) } |
Calendar API
Base URL: http://localhost:9101
| Action | Endpoint | Required Body |
| 查看日历事件 | POST /calendar/events | { "start_date": <string>, "end_date": <string> } |
| 获取事件详情 | POST /calendar/events/get | { "event_id": <string> (required) } |
Contacts API
Base URL: http://localhost:9103
| Action | Endpoint | Required Body |
| 搜索内部通讯录 | POST /contacts/search | { "query": <string> (required), "department": <string> } |
| 获取联系人详情 | POST /contacts/get | { "contact_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.

