model-optimize
Community端到端模型优化的分阶段执行与验证
Authortuliang1024
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a staged, disciplined approach to optimize models for NPU inference, enforcing staged validation between KVCache, fusion, and graph-mode adaptation, and coordinating with subagents to ensure traceable progress and quality.
Core Features & Use Cases
- KVCache静态化、FA替换、Cache metadata准备等阶段的有序执行
- 融合算子优化与非 Attention 模块聚焦
- Graph-mode adaptation is applied only in Decode stage, Prefill remains eager
- Use Case: Single-card optimization to produce auditable reports and progress records
Quick Start
Start Stage 0 by analyzing the target model and creating a baseline optimization plan
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: model-optimize Download link: https://github.com/tuliang1024/cann-recipes-infer/archive/main.zip#model-optimize Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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