指导生产级后端开发。适用于API、服务、Worker、队列、调度器和数据系统；提供相应的后端开发指导。
该技能旨在为AI Agent提供全面的生产级后端开发指导，覆盖从API设计到部署运维的整个生命周期。它专门适用于构建和运行REST/GraphQL API、微服务、单体或模块化单体应用、Worker进程、消息队列、任务调度器、数据服务、事件驱动系统以及平台服务。通过细分的子技能模块，如API设计、认证鉴权、安全加固、数据管理、可靠性保障、可观测性、测试策略、CI/CD流水线、后台任务、Webhooks以及审计日志，开发者可以按需获取针对性的最佳实践和代码范式。在执行完成前，该技能会提示用户运行生产后端审计，确保生成的方案符合运维规范和安全要求。支持在Claude Code、Cursor等Agent平台中通过文件引用指南的方式使用。
npx skills add https://github.com/AlanWYChen/agent-skills/tree/HEAD/production-engineering-skills/backendInstalled? 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 →
适用于：
完成前，请运行生产后端审计。
This repo contains 3 individual skills — each has its own dedicated page.
Guide backend audit. Use when implementing or reviewing production readiness, security, reliability, testing, release configuration, and prioritized findings in backend applications.
Guide backend authentication. Use when implementing or reviewing sign-in, identity verification, session or token lifecycle, account recovery, and authorization boundaries in backend applications.
Guide production application development across web, mobile, and backend systems. Use when implementing or auditing production workflows; route to the applicable domain and supporting guidance.
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.