rate-limiting
Rate limiting algorithms, implementation strategies, HTTP conventions, tiered limits, distributed patterns, and client-side handling. Use when protecting APIs from abuse, implementing usage tiers, or configuring gateway-level throttling.
Why use this skill?
Learn how to implement professional rate limiting algorithms like Token Bucket and Sliding Window. Optimize your API performance, prevent abuse, and manage traffic with ease.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/wpank/api-rate-limitingWhat This Skill Does
The rate-limiting skill provides a robust framework for managing API request traffic to prevent service abuse and ensure equitable resource allocation. It offers comprehensive coverage of industry-standard rate-limiting algorithms, including Token Bucket, Leaky Bucket, and Sliding Window Counter. By integrating this skill, users gain the ability to architect sophisticated throttling strategies—ranging from simple in-memory counters for prototyping to high-performance, distributed Redis-backed implementations for enterprise production environments. The skill emphasizes adherence to RFC-compliant HTTP headers (RateLimit-Limit, RateLimit-Remaining, RateLimit-Reset, and Retry-After), facilitating clear communication between your server and client consumers.
Installation
To integrate this skill into your environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/wpank/api-rate-limiting
Once installed, you can import the pre-configured modules into your API middleware or gateway configuration to begin protecting your endpoints immediately.
Use Cases
- Production API Protection: Implement tiered usage limits for different subscription levels using the Sliding Window Counter algorithm to ensure smooth throughput.
- Distributed System Stability: Use Redis-backed rate limiting to synchronize request counts across multiple microservice instances, preventing cascading failures during traffic spikes.
- Abuse Prevention: Configure automated throttling based on IP or User-ID to block brute-force attempts or scrapers.
- Traffic Shaping: Utilize the Leaky Bucket algorithm for background tasks or email queue processing to ensure a steady, non-overwhelming flow of operations.
Example Prompts
- "Analyze my current API traffic and recommend the best rate-limiting algorithm for a production-grade system that needs to handle bursts but prioritize fair usage."
- "Show me how to implement a sliding window counter using Redis for a distributed microservice architecture."
- "Draft a response strategy for 429 Too Many Requests that includes the appropriate Retry-After headers and informs the user about their current usage quota."
Tips & Limitations
- Layering: For maximum efficacy, use a multi-layered approach: apply coarse-grained throttling at the API Gateway level (e.g., Nginx, Kong, or AWS WAF) and fine-grained, business-logic-aware limiting within your application code.
- Precision vs Performance: While Sliding Window Log is the most precise, it consumes significant memory. For most production APIs, the Sliding Window Counter provides the best tradeoff between accuracy and resource usage.
- Client Handling: Always communicate limits clearly via headers so clients can implement back-off logic, reducing the load on your server.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-wpank-api-rate-limiting": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: code-execution
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