awesome-ai-workflows-that-wo 是做什么的？
探索63个实用的AI工作流，涵盖编码、研究、会议、生产力、媒体、安全和运维
探索63个实用的AI工作流，涵盖编码、研究、会议、生产力、媒体、安全和运维
这个技能提供了一个精心整理的AI工作流集合，包含63个实用案例，覆盖编码、研究、会议、生产力、媒体、安全和运维等多个领域。它帮助开发者、AI代理用户和团队快速了解和采用高效的AI驱动工作流，从而提升日常任务效率。该技能适用于多种AI平台，例如Claude Code、Cursor和Codex，通过详细的SKILL.md文档展示了每个工作流的具体实现方式、使用场景和最佳实践。无论是自动化代码审查、简化研究流程，还是优化会议记录和团队协作，该集合都能提供实用的参考。
npx skills add britannic-cabernetsauvignongrape650/awesome-ai-workflows-that-worksInstalled? 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 →
探索63个实用的AI工作流，涵盖编码、研究、会议、生产力、媒体、安全和运维
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.