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2개 GitHub 저장소에서 수집된 24개 skills를 저장소 단위로 보여줍니다.
수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.
使用 ARIMA 进行单变量时间序列预测
根据当前数据选择并生成合适的业务图表
规划业务数据仪表盘
查看数据结构、质量和可分析性
执行十分位分层分析并识别高低价值群体
规划并确认 Excel 数据导出
使用 GRU 对足量时间序列进行预测
诊断并处理缺失值
信息调研报告自动化工作流。一键完成：多源搜索 → 深度挖掘 → 政府风格 DOCX 报告生成。
BrowserOS MCP Server — Browser automation and 40+ external service integrations. ## Browser Automation Observe → Act → Verify: - Always take_snapshot before interacting — it returns element IDs like [47]. - Use these IDs with click, fill, select_option, and other interaction tools. - After any navigation, element IDs become invalid — take a new snapshot. - After actions, verify the result succeeded before continuing. Obstacle handling: - Cookie banners, popups → dismiss and continue. - Login gates → notify user; proceed if credentials provided. - CAPTCHA, 2FA → pause and ask user to resolve manually. Error recovery: - Element not found → scroll down, re-snapshot, retry. - After 2 failed attempts → describe the blocker and ask user for guidance. ## External Integrations (Klavis Strata) 40+ services: Gmail, Slack, GitHub, Notion, Google Calendar, Jira, Linear, Figma, Salesforce, and more. Progressive discovery — do not guess action names: 1. discover_server_categories_or_actions → always start here. 2. g