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Motor de Runbook de AWS Systems Manager

Ejecuta diagnósticos automatizados mediante la API de AWS Systems Manager Automation y documentos SSM. Recopila métricas del sistema a través de la API GetMetricData de CloudWatch y las correlaciona con eventos de AWS Health.

¿Qué es Motor de Runbook de AWS Systems Manager?

Esta habilidad permite a un agente de IA ejecutar diagnósticos automatizados en entornos AWS utilizando el motor de runbooks de AWS Systems Manager. Está diseñada para desencadenar documentos SSM (Systems Manager Documents) que realizan tareas de diagnóstico y remediación, como verificar el estado de instancias EC2, ejecutar scripts de resolución de problemas o recopilar logs del sistema. Además, integra la capacidad de obtener métricas de sistemas a través de la API GetMetricData de Amazon CloudWatch y correlacionarlas con eventos de AWS Health, lo que permite identificar rápidamente incidencias conocidas. El agente puede interpretar los resultados de estos runbooks, sugerir acciones correctivas y documentar hallazgos automáticamente. Es compatible con cualquier herramienta que pueda invocar la API de AWS Systems Manager, como Claude Code, Cursor o Codex, y se configura mediante el SDK de AWS (por ejemplo, @aws-sdk/client-ssm y @aws-sdk/client-cloudwatch). La habilidad ahorra tiempo a los operadores al automatizar los flujos de trabajo de diagnóstico más comunes y proporcionar una visión unificada de la salud del sistema.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-ssm-runbook-engine
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Documentación

¿Qué hace Motor de Runbook de AWS Systems Manager?

Ejecuta diagnósticos automatizados mediante la API de AWS Systems Manager Automation y documentos SSM. Recopila métricas del sistema a través de la API GetMetricData de CloudWatch y las correlaciona con eventos de AWS Health.

Instalación

Sigue la ruta de instalación o configuración ascendente que corresponda a tu entorno:

  • Revisemos cómo configurar un proyecto que dependa de DynamoDB desde el SDK y realice una llamada de servicio simple. Los siguientes pasos usan yarn como ejemplo. Estos pasos asumen que ya tienes Node.js y yarn instalados.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Requisitos y advertencias de la fuente ascendente:

Notas de uso básico o inicio rápido:

Fuente

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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