Which Python libraries is this skill optimized for?

While it can help with general Python bot logic, it is specifically designed for Telethon-based bots and leverages its unique asynchronous patterns.

Can it analyze an entire bot repository at once?

Yes, it is designed to scan entry points, handlers, and dependencies to provide a comprehensive overview of performance and architectural health.

How does this skill help with Telegram rate limits?

It implements backoff and jitter strategies for FloodWaitErrors and suggests code patterns like asyncio.Semaphore to limit concurrency effectively.

Does it provide specific metrics for improvements?

The skill focuses on measuring performance before and after changes, using tools like time.perf_counter and memory tracking to validate success.

Telegram Bot Performance Engineer

Name: Telegram Bot Performance Engineer
Author: prof-ramos

byprof-ramos

•

ソーシャルメディア管理

Optimizes Python-based Telegram bots by analyzing performance bottlenecks, rate limits, and caching strategies in Telethon implementations.

概要

This skill provides deep technical analysis and optimization for Telegram bots, specifically targeting implementations using Python and the Telethon library. It assists developers in profiling resource usage, handling API rate limits with robust backoff strategies, and implementing efficient caching to reduce latency. Whether you are scaling a bot for thousands of users or auditing an existing repository for best practices, this skill ensures high reliability by identifying N+1 query issues and optimizing asynchronous workflows.

主な機能

Advanced profiling using cProfile and tracemalloc to identify CPU and memory bottlenecks
Concurrency management using asyncio semaphores and batch processing patterns
Implementation of efficient entity caching to minimize redundant API calls
Full repository audits for Telethon best practices and asynchronous IO optimization
1 GitHub stars
Automated mitigation strategies for Telegram API rate limits and FloodWaitErrors

ユースケース

Resolving persistent rate limiting issues and flood wait errors in production
Scaling a Telegram bot to handle high-volume message traffic and concurrent users
Auditing legacy bot codebases to improve response times and resource efficiency

概要

主な機能

Advanced profiling using cProfile and tracemalloc to identify CPU and memory bottlenecks
Concurrency management using asyncio semaphores and batch processing patterns
Implementation of efficient entity caching to minimize redundant API calls
Full repository audits for Telethon best practices and asynchronous IO optimization
1 GitHub stars
Automated mitigation strategies for Telegram API rate limits and FloodWaitErrors

ユースケース

Resolving persistent rate limiting issues and flood wait errors in production
Scaling a Telegram bot to handle high-volume message traffic and concurrent users
Auditing legacy bot codebases to improve response times and resource efficiency