awesome-ai-workflows-that-wo 是做什麼的?
探索63個實用的AI工作流程,涵蓋程式碼開發、研究、會議、生產力、媒體、安全與營運
探索63個實用的AI工作流程,涵蓋程式碼開發、研究、會議、生產力、媒體、安全與營運
這個技能提供一個精心整理的AI工作流程合集,總計63個實用範例,覆蓋程式碼開發、研究分析、會議管理、生產力提升、媒體創作、資訊安全與日常營運等多個領域。每個工作流程都包含具體的操作步驟、適合的AI工具建議,以及實際應用場景說明,幫助開發者與團隊快速導入AI自動化。此技能支援Claude Code、Cursor、Codex等主流AI平台,並可無縫整合至現有開發環境或工作流程中。無論是自動化程式碼審查、生成會議摘要、優化研究資料整理,或是建立安全檢查機制,都能透過這些預先設計的工作流程大幅提升效率。對於正在探索AI工具整合或希望加速團隊工作流程優化的技術人員來說,這是一個值得參考的實用資源。
npx skills add britannic-cabernetsauvignongrape650/awesome-ai-workflows-that-worksInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
探索63個實用的AI工作流程,涵蓋程式碼開發、研究、會議、生產力、媒體、安全與營運
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.