omnipotent-search 是做什么的？
零依赖的AI智能体技能，支持通用网络搜索、购物、求职、学术、新闻、媒体、地图、旅行、应用搜索以及内容提取、爬取和深度研究。兼容55+种智能体，无需API密钥。
零依赖的AI智能体技能，支持通用网络搜索、购物、求职、学术、新闻、媒体、地图、旅行、应用搜索以及内容提取、爬取和深度研究。兼容55+种智能体，无需API密钥。
这是一个为零依赖AI智能体设计的通用搜索与内容提取技能，支持55种以上的智能体平台，无需任何API密钥即可使用。它集成了网络搜索、购物、求职、学术论文、新闻、媒体、地图、旅行和应用程序搜索等多种功能，并能执行网页内容提取、爬取和深度研究任务。通过统一的接口调用多个数据源，它极大简化了智能体开发者构建多模态搜索流程的工作量，同时保持了轻量级和易部署的特性。该技能适用于Claude Code、Cursor、Codex等主流AI开发工具，特别适合需要快速集成搜索引擎或数据抓取能力的场景。
npx skills add pengboyjak/omnipotent-searchInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
零依赖的AI智能体技能，支持通用网络搜索、购物、求职、学术、新闻、媒体、地图、旅行、应用搜索以及内容提取、爬取和深度研究。兼容55+种智能体，无需API密钥。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.