Rate limiting design
Skill AtulPurohit/Antigravity-Awesome-Skills/skills/rate-limiting-design
Design and implement rate limiting strategies to protect APIs and services from abuse while maintaining quality of service.From its SKILL.md
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SKILL.md
2.1 KB, 433 tokens by cl100k_base, as published. Nobody here has run it
Rate Limiting Designer
Purpose
Protect APIs and services from abuse, ensure fair usage, and maintain system stability under high load.
Rate Limiting Algorithms
Fixed Window
Simplest: Count requests per time window
Problem: Allows 2x burst at window boundary
Window: 10 requests per minute
Key: user:123:2026-07-10-10:30
Sliding Window (Recommended)
def check_rate_limit(user_id: str, limit: int, window: int) -> bool:
now = time.time()
window_start = now - window
key = f"ratelimit:{user_id}"
# Remove expired entries
redis.zremrangebyscore(key, '-inf', window_start)
# Count in current window
count = redis.zcard(key)
if count >= limit:
return False
# Add current request
redis.zadd(key, {str(now): now})
redis.expire(key, window)
return True
Token Bucket
Best for: Allowing bursts up to bucket capacity
Bucket: 100 tokens, refill 10/second
Each request: costs 1 token
Burst allowed: up to 100 requests instantly
Response Headers
X-RateLimit-Limit: 100 # Limit per window
X-RateLimit-Remaining: 45 # Requests remaining
X-RateLimit-Reset: 1625000000 # Unix timestamp of window reset
Retry-After: 60 # Seconds until retry allowed (429 only)
Tiered Rate Limits
Anonymous: 20 requests/minute
Free tier: 100 requests/minute
Pro tier: 1000 requests/minute
Enterprise: Custom
Outputs
- Rate limiting middleware implementation
- Per-endpoint limit configuration
- Response header standards
- Bypass allowlist for internal services
- Monitoring and alerting for rate limit events
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.