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Operaciones de Agentes Empresariales

Opera cargas de trabajo de agentes de larga duración con observabilidad, límites de seguridad y gestión del ciclo de vida. Úsalo cuando ejecutes cargas de trabajo de agentes de larga duración que necesiten observabilidad, límites de seguridad o control del ciclo de vida.

¿Qué es Operaciones de Agentes Empresariales?

Esta habilidad permite gestionar cargas de trabajo de agentes de IA que se ejecutan en la nube o de forma continua, más allá de las sesiones CLI únicas. Proporciona controles operativos esenciales como la gestión del ciclo de vida del agente (inicio, pausa, parada, reinicio), observabilidad integral (registros, métricas, trazas), y controles de seguridad (ámbitos, permisos, interruptores de apagado). Es ideal para equipos de plataforma e ingenieros que despliegan agentes de larga duración. Se integra con PM2, systemd, orquestadores de contenedores y gates de CI/CD. La habilidad sigue un patrón de incidentes definido para picos de fallos: congelar despliegues, capturar trazas, aislar rutas fallidas, parchear con cambios seguros mínimos, ejecutar regresiones y reanudar gradualmente. Las métricas clave incluyen tasa de éxito, reintentos medios por tarea, tiempo de recuperación, coste por tarea exitosa y distribución de clases de fallo.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/enterprise-agent-ops

Preguntar en tu IA favorita

Abre un nuevo chat con esta habilidad de agente ya precargada.

Documentación

¿Qué hace Operaciones de Agentes Empresariales?

Usa esta habilidad para sistemas de agentes alojados en la nube o en ejecución continua que necesiten controles operativos más allá de las sesiones CLI únicas.

Dominios Operativos

  1. ciclo de vida del runtime (iniciar, pausar, detener, reiniciar)
  2. observabilidad (registros, métricas, trazas)
  3. controles de seguridad (ámbitos, permisos, interruptores de apagado)
  4. gestión de cambios (despliegue, retroceso, auditoría)

Controles Base

  • artefactos de despliegue inmutables
  • credenciales de mínimo privilegio
  • inyección de secretos a nivel de entorno
  • tiempo de espera máximo y presupuestos de reintento estrictos
  • registro de auditoría para acciones de alto riesgo

Métricas a Seguir

  • tasa de éxito
  • media de reintentos por tarea
  • tiempo de recuperación
  • coste por tarea exitosa
  • distribución de clases de fallo

Patrón de Incidentes

Cuando los fallos se disparen:

  1. congelar nuevo despliegue
  2. capturar trazas representativas
  3. aislar la ruta fallida
  4. parchear con el cambio seguro más pequeño
  5. ejecutar regresiones + comprobaciones de seguridad
  6. reanudar gradualmente

Integraciones de Despliegue

Esta habilidad se combina con:

  • flujos de trabajo de PM2
  • servicios de systemd
  • orquestadores de contenedores
  • puertas de CI/CD

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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