Rate limiting design
Skill AtulPurohit/Antigravity-Awesome-Skills/skills/rate-limiting-design
Installable GitHub library of 300+ professional agentic skills for Claude Code, Antigravity IDE, Gemini CLI, Cursor, and Copilot. Features a custom NPX installer, 9 stack-specific bundles, validation schemas, security auditing, and an interactive catalog explorer app.
npx -y skills add AtulPurohit/Antigravity-Awesome-Skills --skill rate-limiting-designAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
3 things to look at
- 26 days oldThe repository was created 26 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Design and implement rate limiting strategies to protect APIs and services from abuse while maintaining quality of service.
SKILL.md
2.1 KB, 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