api-integration_skill

This skill helps you integrate external REST APIs securely with authentication, rate limiting, error handling, and caching to improve reliability.
  • TypeScript

1

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill autumnsgrove/groveengine --skill api-integration

  • SKILL.md5.7 KB

Overview

This skill helps integrate external REST APIs into a multi-tenant TypeScript blog platform with secure authentication, rate limiting, error handling, and caching patterns. It focuses on building resilient API clients, protecting secrets, and reducing latency and costs through smart retries and caching. Use it to standardize third-party data access across tenants and features.

How this skill works

The skill provides patterns for loading secrets safely, composing authenticated HTTP requests, and wrapping calls with retry, exponential backoff, and rate-limit awareness. It includes caching strategies (TTL-based), pagination handling, and common error-handling flows for HTTP status codes and network failures. Implementations are language-agnostic but mapped to TypeScript best practices for client wrappers and middleware.

When to use it

  • Fetching third-party data for posts, analytics, or enrichments in a multi-tenant blog
  • Building reusable API client modules or wrappers for external services
  • Protecting and rotating API keys and other credentials
  • Preventing tenant spikes from triggering provider rate limits
  • Improving reliability with retries, backoff, and structured error handling

Best practices

  • Keep credentials out of source; load from environment or a secure secret store at runtime
  • Implement retries with exponential backoff and limit total retry time
  • Respect provider rate-limit headers and apply client-side throttling per tenant
  • Cache safe-to-cache responses with TTL and invalidate on updates
  • Log requests and errors without recording secrets or sensitive tenant data

Example use cases

  • Server-side job that enriches blog posts with metadata from an external content API while caching results per slug
  • Multi-tenant webhook consumer that validates signatures, queues processing, and rate-limits downstream API calls per tenant
  • Admin dashboard fetching paginated analytics from a provider with a client that transparently paginates and caches results
  • Background sync that retries transient failures with exponential backoff and records metrics for monitoring
  • Batch import that respects x-ratelimit headers and spaces requests to avoid 429 responses

FAQ

Store keys in a secrets manager or environment variables per deployment or tenant; never commit keys. For tenant-level keys, encrypt at rest and load them on demand.

How do I handle provider rate limits across tenants?

Track usage per provider and per tenant, honor rate-limit headers, and implement token-bucket or fixed-delay throttling. Queue or back off requests when limits approach to avoid global failures.

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