后端代码审查 是做什么的？
基于既定检查清单规则，审查后端代码的质量、安全性、可维护性和最佳实践。在用户请求审查、分析或改进 api/ 目录下的后端文件（如 .py）时使用，请勿用于前端文件（如 .tsx、.ts、.js）。支持待定更改审查、代码片段审查和文件聚焦审查。
基于既定检查清单规则，审查后端代码的质量、安全性、可维护性和最佳实践。在用户请求审查、分析或改进 `api/` 目录下的后端文件（如 `.py`）时使用，请勿用于前端文件（如 `.tsx`、`.ts`、`.js`）。支持待定更改审查、代码片段审查和文件聚焦审查。
该技能旨在帮助开发者和AI代理对后端代码进行系统化的质量评估。它基于一套预先定义的检查清单规则，审查代码的质量、安全性、可维护性以及最佳实践遵循情况。此技能专门针对 `api/` 目录下的后端文件（例如 `.py` 文件）设计，不适用于前端文件。它提供了三种审查模式：待定更改审查（针对未提交的更改）、代码片段审查（针对用户提供的部分代码）以及文件聚焦审查（针对整个文件的深度分析）。通过自动化和标准化的审查流程，该技能能够显著提高代码审查的效率和一致性，帮助团队尽早发现潜在问题并采纳更优的实现方案。
npx skills add https://github.com/langgenius/dify/tree/main/skills/backend-code-reviewInstalled? 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 →
基于既定检查清单规则，审查后端代码的质量、安全性、可维护性和最佳实践。在用户请求审查、分析或改进 api/ 目录下的后端文件（如 .py）时使用，请勿用于前端文件（如 .tsx、.ts、.js）。支持待定更改审查、代码片段审查和文件聚焦审查。
This repo contains 3 individual skills — each has its own dedicated page.
Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.
Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.
Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.
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.
Production-ready platform for agentic workflow development.