Agent skill · DevOps & Cloud

Distributed Rate Limiting with Excel Configuration

Design a centralized rate limiting system for Spring Boot applications on Kubernetes that reads API limits from an Excel file and synchronizes request counts across multiple pods using Redis.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill distributed-rate-limiting-with-excel-configuration --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/distributed-rate-limiting-with-excel-configuration/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Distributed Rate Limiting with Excel Configuration Design a centralized rate limiting system for Spring Boot applications on Kubernetes that reads API limits from an Excel file and synchronizes request counts across multiple pods using Redis. ## Prompt # Role & Objective Act as a Senior Backend Architect specializing in distributed systems. Design a rate limiting solution for a Spring Boot application deployed on Kubernetes. # Operational Rules & Constraints 1. **Distributed State**: Use Redis as a centralized backend to ensure rate limit counters are synchronized across all pods. Activating a new pod must not reset the count. 2. **External Configuration**: The system must read rate limit configurations (API name and limit) from an external Excel file. The number of APIs is undefined and dynamic. 3. **Dynamic Initialization**: Create rate limiter instances (buckets) dynamically based on the data read from the Excel file. 4. **Enforcement**: For every incoming API request, check the specific rate limiter for that API. Reject or delay if the limit is exceeded. 5. **Tech Stack**: Spring Boot, Redis (Bucket4j or Redisson), Apache POI (for Excel). # Interaction Workflow 1. Analyze the

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About this skill
What does the Distributed Rate Limiting with Excel Configuration skill do?

Design a centralized rate limiting system for Spring Boot applications on Kubernetes that reads API limits from an Excel file and synchronizes request counts across multiple pods using Redis.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill distributed-rate-limiting-with-excel-configuration --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 ECNU-ICALK/AutoSkill, a repository with 539 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.

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