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AGENT SKILL

inference-latency-profiler

inference-latency-profiler 是面向效率工具、数据与分析、开发运维的 Agent Skill,来自 jeremylongshore/claude-code-plugins-plus-skills。查看技能说明、操作步骤与使用约定,并通过原项目了解详细用法。

Profile inference latency profiler operations. Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category. Use when working with inference latency profiler functionality. Trigger with phrases like "inference latency profiler", "inference profiler", "inference".

SKILL.md

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nameinference-latency-profiler
descriptionProfile inference latency profiler operations. Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category. Use when working with inference latency profiler functionality. Trigger with phrases like "inference latency profiler", "inference profiler", "inference".
allowed-toolsRead, Write, Edit, Bash(cmd:*), Grep
version1.0.0
licenseMIT
authorJeremy Longshore <[email protected]>

Inference Latency Profiler

Overview

This skill provides automated assistance for inference latency profiler tasks within the ML Deployment domain.

When to Use

This skill activates automatically when you: - Mention "inference latency profiler" in your request - Ask about inference latency profiler patterns or best practices - Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.

Instructions

  1. Provides step-by-step guidance for inference latency profiler
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with inference latency profiler" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml deployment concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

Error Cause Solution
Configuration invalid Missing required fields Check documentation for required parameters
Tool not found Dependency not installed Install required tools per prerequisites
Permission denied Insufficient access Verify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production

来源:jeremylongshore/claude-code-plugins-plus-skills · MIT 许可 · 许可原文 · MD 为来源页保存的历史版本