Automated ML/AI job scraping, deduplication, and gatekeeper scoring pipeline. Scrapes AI company career pages on Greenhouse, AshbyHQ, and Lever, avoids duplicates, and scores jobs 0-100 against profile keywords, classifying tier-1/2/3.
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Install skill "job-scraper-pipeline" with this command: npx skills add arimanyus/skillsmp-arimanyus-arimanyus-job-scraper-pipeline
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Related by shared tags or category signals.
Automate job applications on ATS platforms (Ashby, Greenhouse, Workday) using browser-use/browser-harness with CDP. Covers iframe session management, file upload, hidden checkbox handling, and known reCAPTCHA/S3 blockers.
Automate filling job applications on Greenhouse.io and similar React-based ATS platforms via browser automation. Covers React input handling, reCAPTCHA detection, resume upload limitations, and single-expression multi-field filling.
本地知识库问答技能。当用户需要基于个人知识库文档（PDF/Markdown/Word）进行问答、生成报告、制作思维导图、或上传文件到向量库时触发。触发词包括："基于知识库"、"基于mysql查询"、"基于某个分区"、"查一下知识库"、"帮我写报告"、"生成思维导图"、"根据文档"、"从我的资料"、"结合我的笔记"、"整理成报告"、"做个导图"、"上传知识库"、"有新文件"、"索引文档"、"建向量库"、"有哪些分区"、"分区列表"、"创建知识库"、"初始化知识库"、"知识库列表"。
Conducts open-ended Q&A on image content based on computer vision and large language models, supporting any questions to receive natural language responses. | 大模型视觉问答（VQA）技能，基于计算机视觉和大语言模型对图片内容进行开放式问答，支持任意提问得到自然语言回答