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SST (Serverless Stack)

Ayuda a construir y desplegar aplicaciones serverless full-stack en AWS usando SST. Útil al definir funciones Lambda, rutas de API Gateway, tablas DynamoDB, buckets S3 o al desplegar Next.js/Remix/Astro con SSR en AWS.

¿Qué es SST (Serverless Stack)?

SST (Serverless Stack) es un framework para construir y desplegar aplicaciones full-stack en AWS que ofrece constructos de alto nivel para Lambda, API Gateway, DynamoDB, S3 y frameworks frontend. Su principal ventaja es el desarrollo local en vivo conectado a servicios reales de AWS, enlazado de recursos con tipado seguro y soporte TypeScript sin configuración. Es compatible con plataformas como Claude Code, Cursor y Codex, y se usa mediante comandos como `sst dev` para desarrollo local con recarga en caliente y `sst deploy` para despliegues por etapas. Este skill guía al agente en la definición de infraestructura en `sst.config.ts`, el uso de la propiedad `link` para permisos automáticos, y la organización del código con handlers ligeros y lógica de negocio separada. Incluye ejemplos prácticos como construir una API serverless con DynamoDB o desplegar una app Next.js con entornos de vista previa por PR, siguiendo las mejores prácticas de SST.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/TerminalSkills/skills/tree/HEAD/skills/sst

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Documentación

SST

Descripción general

SST (Serverless Stack) es un framework para construir y desplegar aplicaciones full-stack en AWS con constructos de alto nivel para Lambda, API Gateway, DynamoDB, S3 y frameworks frontend. Ofrece desarrollo local en vivo conectado a servicios reales de AWS, enlazado de recursos con tipado seguro y soporte TypeScript sin configuración.

Instrucciones

  • Al definir infraestructura, usa sst.config.ts con componentes tipados como sst.aws.Function, sst.aws.Api, sst.aws.Bucket y sst.aws.Dynamo.
  • Al conectar recursos, usa la propiedad link en las funciones para conceder automáticamente permisos IAM e inyectar variables de entorno; accede a los recursos enlazados mediante Resource.Name en los handlers.
  • Durante el desarrollo local, usa sst dev que ejecuta Lambda localmente con recarga en caliente mientras está conectado a servicios reales de AWS (DynamoDB, S3, SQS), con soporte para depuración con puntos de interrupción en VS Code.
  • Al desplegar, usa sst deploy --stage prod para etapas con nombre, sst deploy --stage pr-${PR_NUMBER} para entornos de vista previa y sst remove --stage dev para eliminar.
  • Al desplegar frontends, usa los componentes sst.aws.Nextjs, sst.aws.Remix o sst.aws.Astro para SSR en Lambda con activos estáticos en S3 + CloudFront.
  • Al gestionar secretos, usa sst secret set KEY value para almacenamiento cifrado y específico por etapa.
  • Al organizar el código, mantén los handlers ligeros en packages/functions/ como orquestadores, y coloca la lógica de negocio en packages/core/.

Ejemplos

Ejemplo 1: Construir una API serverless con DynamoDB

Solicitud del usuario: "Crear una API REST en AWS con DynamoDB usando SST"

Acciones:

  1. Define la tabla DynamoDB y API Gateway en sst.config.ts
  2. Enlaza la tabla a las funciones handler de la API para permisos automáticos
  3. Implementa handlers CRUD accediendo a Resource.MyTable.name
  4. Ejecuta sst dev para desarrollo local en vivo contra servicios reales de AWS

Resultado: Una API REST serverless con acceso a recursos tipado y depuración en vivo.

Ejemplo 2: Desplegar una app Next.js con entornos de vista previa

Solicitud del usuario: "Desplegar mi app Next.js en AWS con entornos de vista previa por PR"

Acciones:

  1. Configura el componente sst.aws.Nextjs con dominio personalizado y recursos enlazados
  2. Configura CI para ejecutar sst deploy --stage pr-${PR_NUMBER} en cada pull request
  3. Enlaza recursos backend (API, base de datos) al despliegue de Next.js
  4. Agrega un paso de limpieza con sst remove cuando se cierre el PR

Resultado: Un despliegue de Next.js en producción en AWS con entornos de vista previa aislados para cada PR.

Directrices

  • Usa link en lugar de políticas IAM manuales; SST genera permisos de mínimo privilegio automáticamente.
  • Accede a los recursos enlazados mediante Resource.Name en los handlers; nunca codifiques nombres de tabla o ARN de bucket.
  • Usa sst dev para el desarrollo diario; es más rápido que desplegar en AWS con cada cambio.
  • Crea etapas por desarrollador (sst dev --stage alice) para que cada desarrollador tenga recursos AWS aislados.
  • Mantén los handlers ligeros: lógica de negocio en packages/core/, handlers en packages/functions/.
  • Usa sst secret para claves API y credenciales; están cifradas y son específicas por etapa.
  • Configura sst deploy --stage pr-${PR_NUMBER} en CI para entornos de vista previa en cada pull request.

Individual skills in this repo

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

TerminalSkills/skills

>- Run GitHub Actions locally with act. Use when a user asks to test GitHub Actions workflows locally, debug CI pipelines without pushing, or run workflows offline.

TerminalSkills/skills

>- You are an expert in AG2 (formerly AutoGen), the open-source multi-agent conversation framework. You help developers build systems where multiple AI agents collaborate through structured conversations — with tool use, human-in-the-loop, code execution, group chat orchestration, and nested conversations — for complex tasks like software development, research, and data analysis.

TerminalSkills/skills

>- Generate short-form videos with AI — script writing, text-to-speech narration, stock footage selection, subtitle generation, and video assembly. Use when: creating TikTok/YouTube Shorts/Reels content, automating video production, building content pipelines.

TerminalSkills/skills

>- Animate 3D objects and characters in Blender with Python. Use when the user wants to keyframe properties, create armatures and rigs, set up IK/FK chains, animate shape keys for facial animation, edit F-Curves, use the NLA editor to blend actions, add drivers for expression-based animation, or script any animation workflow in Blender.

TerminalSkills/skills

>- Automate motion capture and tracking workflows in Blender with Python. Use when the user wants to import BVH or FBX mocap data, retarget motion to armatures, track camera or object motion from video, solve camera motion, clean up motion capture data, or script any tracking pipeline in Blender.

TerminalSkills/skills

>- You are an expert in Bolt.new by StackBlitz, the AI-powered full-stack development environment that runs entirely in the browser. You help developers go from idea to deployed app in minutes using natural language prompts — Bolt generates complete applications with frontend, backend, database, and deployment, all running in a WebContainer without local setup.

TerminalSkills/skills

>- Assists with using Bun as an all-in-one JavaScript/TypeScript runtime, package manager, bundler, and test runner. Use when building HTTP servers, managing packages, running tests, or migrating from Node.js. Trigger words: bun, bun serve, bun install, bun test, bun build, javascript runtime, bun runtime.

TerminalSkills/skills

>- Self-host customer support with Chatwoot. Use when a user asks to set up open-source customer support, add live chat without SaaS costs, build a multi-channel inbox, or deploy a free Intercom alternative.

TerminalSkills/skills

>- You are an expert in Chi, the lightweight, idiomatic Go HTTP router built on `net/http`. You help developers build composable HTTP services using Chi's middleware stack, route groups, URL parameters, sub-routers, and context-based request scoping — providing Express-like ergonomics while staying 100% compatible with Go's standard library.

TerminalSkills/skills

When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.

TerminalSkills/skills

>- Add live chat and customer support with Crisp. Use when a user asks to add a chat widget, implement live customer support, set up a help desk, create a knowledge base, or add a chatbot to a website.

TerminalSkills/skills

>- Assists with building custom interactive data visualizations using D3.js. Use when creating charts, graphs, maps, force layouts, or hierarchical diagrams that require fine-grained control beyond what charting libraries provide. Trigger words: d3, data visualization, chart, svg, scales, force graph, treemap, choropleth.

TerminalSkills/skills

dbt (data build tool) transforms data in your warehouse using SQL SELECT statements. Learn project setup, models, tests, documentation, incremental materializations, and integration with data warehouses like PostgreSQL, BigQuery, and Snowflake.

TerminalSkills/skills

>- You are an expert in dlt, the open-source Python library for building data pipelines. You help developers load data from any API, file, or database into warehouses and lakes using simple Python decorators — with automatic schema inference, incremental loading, and built-in data contracts. dlt is the "requests library for data pipelines.

TerminalSkills/skills

Data Version Control for ML projects. Track large datasets and models alongside Git, build reproducible ML pipelines, and run experiments with metric comparison. Works with any storage backend including S3, GCS, Azure, and local filesystems.

TerminalSkills/skills

>- You are an expert in E2B, the cloud platform for running AI-generated code in secure sandboxes. You help developers give AI agents the ability to execute code, install packages, read/write files, and run long processes in isolated cloud environments — each sandbox is a lightweight VM that boots in ~150ms with full Linux, filesystem, and networking.

TerminalSkills/skills

>- Transcode, convert, edit, and process audio and video with FFmpeg. Use when a user asks to convert video formats (webm to mp4, mkv to mp4), extract audio from video, compress video files, trim or cut clips, concatenate videos, add subtitles, create thumbnails, apply filters, change resolution or bitrate, re-encode media, create GIFs from video, add watermarks, normalize audio, stream media, or build automated media processing pipelines.

TerminalSkills/skills

>- Create advanced animations with GSAP. Use when building complex timelines, scroll-driven animations, SVG morphing, text animations, or high-performance web animations beyond CSS capabilities.

TerminalSkills/skills

>- Generate deterministic MP4 videos from HTML, CSS, media, and seekable animations using HeyGen's HyperFrames framework. Use when someone asks to "render HTML to video", "make a video with HyperFrames", "create a programmatic video", "turn an animation into MP4", "build a launch/product video from HTML", "render GSAP/Lottie/Three.js to video", or set up an agent-driven video pipeline. Covers init/preview/render/add/lint/inspect commands, data-* timing attributes, animation adapters, and the component catalog.

TerminalSkills/skills

When the user wants to perform load testing, stress testing, or performance testing of APIs and websites using k6. Also use when the user mentions "k6," "load test," "performance test," "stress test," "spike test," "soak test," "thresholds," "virtual users," or "VUs." For browser-based testing, see selenium.

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