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- Claude Mpm Skills
- Vercel Storage Data
vercel-storage-data_skill
- Python
13
GitHub Stars
2
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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npx veilstrat add skill bobmatnyc/claude-mpm-skills --skill vercel-storage-data- metadata.json473 B
- SKILL.md2.5 KB
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
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.