rate-limiter-designer
Design and implement rate limiting strategies
npx skills add a5c-ai/babysitter --skill rate-limiter-designer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Rate Limiter Designer Skill ## 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 ```yaml skill: name: rate-limiter-designer context: algorithm: sliding-window storage: redis tiers: - name
- Overview
- Capabilities
- Target Processes
- Integration Points
- Input Requirements
- Output Artifacts
- Usage Example
- Best Practices
What does the rate-limiter-designer skill do?
Design and implement rate limiting strategies
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill rate-limiter-designer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.