Rate Limiter Designer Skill

SkillMedia

Design and implement rate limiting strategies

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Rate Limiter Designer Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/sdk-platform-development/skills/rate-limiter-designer/SKILL.md and read by ahel’s review.

Overview

This skill designs and implements rate limiting strategies including token bucket, sliding window, and quota systems to protect APIs while providing fair access.

Capabilities

  • Implement token bucket and leaky bucket algorithms
  • Configure per-key and per-user limits
  • Design quota and usage systems
  • Generate rate limit HTTP headers
  • Implement distributed rate limiting
  • Configure burst allowances
  • Design rate limit tiers
  • Handle rate limit exceeded responses

Target Processes

  • Platform API Gateway Design
  • Authentication and Authorization Patterns
  • Developer Portal Implementation

Integration Points

  • Redis for distributed state
  • Rate limiting middleware
  • API gateway plugins
  • CDN rate limiting
  • Database-backed quotas

Input Requirements

  • Rate limit requirements
  • Tier definitions
  • Burst allowances
  • Distribution strategy
  • Header conventions

Output Artifacts

  • Rate limiting implementation
  • Quota management system
  • Rate limit headers
  • Tier configuration
  • Admin management API
  • Usage tracking

Usage Example

skill:
  name: rate-limiter-designer
  context:
    algorithm: sliding-window
    storage: redis
    tiers:
      - name: free
        requests: 100
        window: 1h
        burst: 10
      - name: pro
        requests: 10000
        window: 1h
        burst: 100
    headers:
      limit: X-RateLimit-Limit
      remaining: X-RateLimit-Remaining
      reset: X-RateLimit-Reset
    responses:
      exceeded:
        status: 429
        retryAfter: true

Best Practices

  1. Use sliding window for accuracy
  2. Include burst allowances
  3. Return standard rate limit headers
  4. Provide clear Retry-After values
  5. Implement distributed limiting
  6. Design fair quota systems

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
rate-limiter-designer
Source
github.com/a5c-ai/babysitter