schema-driven-insight-agent 是做什么的？
基于Schema驱动的数据洞察AI代理框架——仅需一个schema.yaml文件即可指向新数据集。无需硬编码业务逻辑，代理从不接触生产环境。
基于Schema驱动的数据洞察AI代理框架——仅需一个schema.yaml文件即可指向新数据集，无需硬编码业务逻辑，代理从不接触生产环境。
这是一个基于Schema驱动的数据洞察AI代理框架。开发者只需提供一个schema.yaml文件，即可让代理快速理解并处理新的数据集。该框架完全消除了业务逻辑的硬编码需求，使得代理能够灵活适应不同数据源而无需修改核心代码。更重要的是，代理在运行过程中从不直接接触生产环境数据，从而确保了数据安全与系统稳定性。该技能支持多种主流AI代理平台，如Claude Code、Cursor和Codex，并通过读取schema.yaml文件自动生成数据查询和分析流程。
npx skills add RuntianLee/schema-driven-insight-agentInstalled? 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 →
基于Schema驱动的数据洞察AI代理框架——仅需一个schema.yaml文件即可指向新数据集。无需硬编码业务逻辑，代理从不接触生产环境。
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.