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    API Rate Limiter Designer

    by StrategistKit

    1

    Rate limiting fails in two directions: too loose and one bad client takes down the database for everyone; too crude and you rate-limit your own legitimate power users into churn.

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    See it in action

    You say

    We are launching a SaaS API on Node.js and Redis. We need a rate limiting strategy to protect our DB from bursts while supporting Pro/Free tiers. Skip deep context.

    Your agent does

    Recommended: Token Bucket (via Redis/Lua)

    • Bucket Design:
      • Free: 100 req/min, burst 20
      • Pro: 1000 req/min, burst 200
    • Keying: ratelimit:{tier}:{api_key}
    • Headers: X-RateLimit-Limit, X-RateLimit-Remaining, Retry-After
    • Rollout: 7-day shadow-mode logging.

    What you get

    Select the right algorithm (Token Bucket, Sliding Window) for your traffic.Design fair-use keys and tier-based quota structures for SaaS multi-tenancy.Standardize 429 Error responses and X-RateLimit headers.Plan a low-risk 'log-only' deployment to calibrate limits without breaking apps.

    About this skill

    Rate limiting fails in two directions: too loose and one bad client takes down the database for everyone; too crude and you rate-limit your own legitimate power users into churn. This skill designs your rate limiting strategy end-to-end: the right algorithm for your use case (token bucket vs. sliding window vs. fixed window and why it matters), the right granularity (per IP, per user, per API key, per endpoint — not all the same), Redis implementation that doesn't add latency on every request, the response format that doesn't enrage developers, and the exemption system for your high-trust clients. It also covers the abuse patterns rate limiting doesn't stop, so you're not surprised when someone routes around it. Give it your API shape, your traffic patterns, and your abuse concerns; it returns a rate limiting design you can implement in a day.

    Changelog

    1. v1.1LatestJun 26, 2026

      Rewrote the skill body with real, expert content. Every section now carries concrete rate-limiting method (what the limit protects, algorithm selection token-bucket/sliding-window/fixed-window, limit-key & fairness design, tier/quota structure, burst tuning, distributed counting with Redis, headers & 429 response design, client backoff guidance, log-only rollout & calibration, monitoring & abuse signals). Replaced the generic placeholder sections.

    2. v1.0Jun 11, 2026

      Initial release

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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