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vercel-storage-data skill

/toolchains/platforms/deployment/vercel-storage-data

This skill helps you choose and configure Vercel data services such as Postgres, Redis, Blob, and Edge Config for fast, scalable apps.

npx playbooks add skill bobmatnyc/claude-mpm-skills --skill vercel-storage-data

Review the files below or copy the command above to add this skill to your agents.

Files (2)
SKILL.md
2.5 KB
---
name: vercel-storage-data
description: Vercel data and storage services including Postgres, Redis, Vercel Blob, Edge Config, and data cache. Use when selecting data storage or caching on Vercel.
progressive_disclosure:
  entry_point:
    summary: "Vercel data and storage services including Postgres, Redis, Vercel Blob, Edge Config, and data cache. Use when selecting data storage or caching on Vercel."
    when_to_use: "When working with data, databases, or data transformations."
    quick_start: "1. Review the core concepts below. 2. Apply patterns to your use case. 3. Follow best practices for implementation."
---
# Vercel Storage and Data Skill

---
progressive_disclosure:
  entry_point:
    summary: "Vercel data and storage: Postgres, Redis, Vercel Blob, Edge Config, and data cache." 
    when_to_use:
      - "When selecting a data store or cache"
      - "When using managed Postgres or Redis"
      - "When storing files with Vercel Blob"
    quick_start:
      - "Choose Postgres, Redis, or Blob"
      - "Configure Edge Config or data cache"
      - "Connect from Functions or apps"
      - "Monitor usage"
  token_estimate:
    entry: 90-110
    full: 3800-4800
---

## Overview

Vercel provides managed data services and storage for application state, cache, and files.

## Postgres

- Provision Postgres for relational data.
- Manage credentials and connection strings.

## Redis

- Use Redis for caching and ephemeral state.
- Configure access for Functions and Edge workloads.

## Vercel Blob

- Store and serve files with Vercel Blob.
- Use Blob for uploads, assets, and media storage.

## Edge Config

- Use Edge Config for low-latency configuration and feature data.
- Read from Edge Runtime workloads.

## Data Cache and Storage

- Use data cache features for response caching.
- Review storage options for app data.

## Complementary Skills

When using this skill, consider these related skills (if deployed):

- **vercel-functions-runtime**: Functions and Edge access to data.
- **vercel-networking-domains**: Edge caching and routing.
- **vercel-observability**: Usage and performance monitoring.

*Note: Complementary skills are optional. This skill is fully functional without them.*

## Resources

**Vercel Docs**:
- Postgres: https://vercel.com/docs/postgres
- Redis: https://vercel.com/docs/redis
- Vercel Blob: https://vercel.com/docs/vercel-blob
- Edge Config: https://vercel.com/docs/edge-config
- Data Cache: https://vercel.com/docs/data-cache
- Storage: https://vercel.com/docs/storage

Overview

This skill describes Vercel data and storage services, including managed Postgres, Redis, Vercel Blob, Edge Config, and the data cache. It helps you choose the right store or cache for your app, connect from Functions or Edge runtimes, and understand trade-offs for latency, persistence, and cost. The content focuses on practical decisions and integration points for serverless and edge workloads.

How this skill works

The skill summarizes each Vercel service and what it’s best suited for: Postgres for relational persistence, Redis for ephemeral caching and fast state, Blob for file and media storage, Edge Config for low-latency configuration, and Data Cache for response caching. It explains where to configure credentials, how to connect from Functions and Edge runtimes, and which services are optimal for specific access patterns and latency requirements.

When to use it

  • Select Postgres when you need relational integrity, joins, and durable transactional storage.
  • Choose Redis for fast caches, session state, pub/sub, and ephemeral data with low latency.
  • Use Vercel Blob to store uploads, media assets, and files served directly to clients.
  • Apply Edge Config when you need sub-10ms read access to configuration or feature flags at the edge.
  • Enable Data Cache for response caching to reduce backend load and improve latency for repeated requests.

Best practices

  • Use managed Postgres for transactional data and set up connection pooling to avoid exhausting connections from serverless functions.
  • Keep Redis keys small and set appropriate TTLs for cache entries to control memory usage and eviction behavior.
  • Serve public assets from Vercel Blob with proper cache-control headers and use signed URLs for private content.
  • Read Edge Config from the edge runtime and fall back to a default configuration in case of network issues.
  • Monitor usage and costs, and set alerts for connection, storage, and request thresholds to avoid surprises.

Example use cases

  • A SaaS app storing user records and invoices in Postgres while caching profile data in Redis for fast reads.
  • A media site uploading images and videos to Vercel Blob and serving them via CDN with optimized caching headers.
  • Feature flagging and runtime configuration stored in Edge Config to enable A/B tests with near-instant propagation.
  • API responses cached with Data Cache to reduce downstream database load for high-traffic endpoints.
  • Real-time chat using Redis for pub/sub and transient presence information while persisting messages in Postgres.

FAQ

Can serverless Functions and Edge runtimes access the same data services?

Yes. Functions can connect to Postgres and Redis using credentials and connection strings; Edge runtimes can read Edge Config and use Data Cache. For Postgres and Redis from the edge, use managed gateway patterns or server-side functions to avoid long-lived connections.

When should I prefer Vercel Blob over external object stores?

Prefer Vercel Blob when you want tight integration with Vercel deployments, simple uploads and CDN-backed serving. Consider external stores if you need multi-region replication or advanced lifecycle policies not supported by Blob.