ai-workflow-automator 是做什么的?
🤖 通过将自然语言指令转化为结构化工作流,自动化AI驱动的数据管道,使复杂任务对所有用户触手可及。
🤖 通过将自然语言指令转化为结构化工作流,自动化AI驱动的数据管道,使复杂任务对所有用户触手可及。
该技能的核心功能是将用户用自然语言描述的任务需求,自动解析并转化为可执行的、结构化的AI工作流(数据管道)。它特别适合那些希望快速构建数据处理流程,但又不熟悉编程或工作流编排工具的开发者或数据科学家。该技能支持主流AI代理平台(如Claude Code、Cursor等),通过分析用户意图,自动选择合适的AI模型、数据源和处理步骤,并生成工作流配置文件或直接执行任务。这使得即使是复杂的多步数据转换、模型调用或报告生成,也能通过简单的指令完成,极大降低了工作流构建的门槛。其工作方式类似于一个“工作流编译器”,将用户的语言输入编译为平台可识别的操作序列。
npx skills add IMRANjar/ai-workflow-automatorInstalled? 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 →
🤖 通过将自然语言指令转化为结构化工作流,自动化AI驱动的数据管道,使复杂任务对所有用户触手可及。
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.