Guía el desarrollo backend en producción. Úsalo para APIs, servicios, workers, colas, programadores y sistemas de datos; selecciona la guía backend relevante.
Esta habilidad proporciona una guía integral para el desarrollo backend en producción, cubriendo una amplia gama de arquitecturas como APIs REST/GraphQL, microservicios, monolitos modulares, workers, colas, programadores, servicios de datos, sistemas basados en eventos y servicios de plataforma. Está organizada en subhabilidades especializadas: diseño de APIs, autenticación, seguridad, datos, fiabilidad, observabilidad, pruebas, CI/CD, trabajos en segundo plano, webhooks y auditoría. Es útil para desarrolladores que trabajan con asistentes de IA como Claude Code, Cursor o Codex, ya que les permite seleccionar la guía específica según la tarea. Antes de finalizar, la habilidad incluye una auditoría de producción backend para garantizar que se hayan aplicado todas las mejores prácticas.
npx skills add https://github.com/AlanWYChen/agent-skills/tree/HEAD/production-engineering-skills/backendInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Úsala para:
Antes de finalizar, ejecuta la auditoría de producción backend.
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.