AI-Infra-Auto-Driven-SKILLS
Provides automated benchmarking, performance analysis, and model support for AI infrastructure.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- skill-github
Overview
AI-Infra-Auto-Driven-SKILLS is a set of agent-oriented skills designed to offer benchmarking, performance analysis, capacity planning, model support planning, code review, event classification, and model PR history tracking for large language model (LLM) services. These skills are compatible with multiple frameworks including SGLang, vLLM, TensorRT-LLM, and TokenSpeed. By leveraging these capabilities, AI can better understand and optimize its runtime environment, enhancing efficiency and stability. Ideal for developers or teams requiring deep management and optimization of AI infrastructure.
Capabilities
- ▪Cross-framework benchmarking
- ▪Performance analysis reports
- ▪Capacity planning explanations
- ▪Model support plan generation
- ▪Code review
- ▪Event classification
Use cases
Setup
Claude Code plugin installation: "/plugin marketplace add BBuf/AI-Infra-Auto-Driven-SKILLS" "/plugin install ai-infra-auto-driven-skills@ai-infra-auto-driven-skills"; Other environments: clone the repository and link the skill directory.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How to get the latest model PR history?
Use the provided script to query historical records for a specific framework.
Is multilingual support available?
Some skills support bilingual (Chinese and English) output.
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