mistral-rate-limits
About
This skill helps developers implement rate limiting, retry logic, and request management for the Mistral AI API. It provides exponential backoff strategies and handles 429 errors to optimize API throughput. Use it when dealing with Mistral AI throttling or when you need to build robust retry mechanisms.
Quick Install
Claude Code
Recommendednpx skills add jeremylongshore/claude-code-plugins-plus-skills -a claude-code/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus-skillsgit clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills.git ~/.claude/skills/mistral-rate-limitsCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the mistral-rate-limits skill?
mistral-rate-limits is a Claude Skill by jeremylongshore. Skills package instructions and resources that Claude loads on demand, so Claude can perform mistral-rate-limits-related tasks without extra prompting.
How do I install mistral-rate-limits?
Use the install commands on this page: add mistral-rate-limits to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does mistral-rate-limits belong to?
mistral-rate-limits is in the Development category, tagged ai and api.
Is mistral-rate-limits free to use?
Yes. mistral-rate-limits is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
qmd is a local search and indexing CLI tool that enables developers to index and search through local files using hybrid search combining BM25, vector embeddings, and reranking. It supports both command-line usage and MCP (Model Context Protocol) mode for integration with Claude. The tool uses Ollama for embeddings and stores indexes locally, making it ideal for searching documentation or codebases directly from the terminal.
This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.
The mcporter skill enables developers to manage and call Model Context Protocol (MCP) servers directly from Claude. It provides commands to list available servers, call their tools with arguments, and handle authentication and daemon lifecycle. Use this skill for integrating and testing MCP server functionality in your development workflow.
This skill deploys and orchestrates Vertex AI ADK agents using A2A protocol, managing AgentCard discovery, task submission, and supporting tools like Code Execution Sandbox and Memory Bank. It enables building multi-agent systems with sequential, parallel, or loop orchestration patterns in Python, Java, or Go. Use it when asked to deploy ADK agents or orchestrate agent workflows on Google Cloud.