customaize-agent:prompt-engineering

Name: customaize-agent:prompt-engineering
Availability: InStock
Author: LAI-YEN-CHUN

Optimize agent prompting workflows with standardized templates and few-shot patterns.

1|Updated Apr 21, 2025

Search Tags:#templates #chain-of-thought #llm #agents #few-shot #prompt-engineering #system-prompt

Ready to run

npx skills add https://github.com/LAI-YEN-CHUN/VSCode-Settings --skill customaize-agent-prompt-engineering-lai-yen-chun

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: customaize-agent:prompt-engineering
Source: https://github.com/LAI-YEN-CHUN/VSCode-Settings/tree/main/.github/skills/prompt-engineering
Command: npx skills add https://github.com/LAI-YEN-CHUN/VSCode-Settings --skill customaize-agent-prompt-engineering-lai-yen-chun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams and individuals design, organize, and reuse prompts, hooks, and templates to improve the reliability and clarity of AI interactions.

Core Features & Use Cases

A library of prompt-engineering patterns, including few-shot, chain-of-thought, and template systems, to standardize agent behavior.
Reusable templates and checklists to accelerate developer workflows, testing, and deployment of prompts across agents and sub-agents.
Use Case: Create production-ready prompts that consistently guide LLMs through multi-step tasks with verifiable outputs.

Quick Start

Provide a clear, executable prompt pattern that instructs the agent to follow a predefined decision workflow.

Frequently Asked Questions about customaize-agent:prompt-engineering

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I standardize LLM agent prompts for consistent production outputs?▼

Standardize LLM agent prompts by applying reusable templates, hooks, and best-practice patterns like few-shot and chain-of-thought reasoning to ensure predictable, verifiable outputs across multi-step tasks.

What is the best way to structure chain-of-thought prompts for sub-agents?▼

Structure chain-of-thought prompts for sub-agents using standardized templates and checklists that guide LLMs through predefined decision workflows, improving consistency across development and testing environments.

Can I use few-shot prompting templates to guide agents through multi-step tasks?▼

Yes, you can use few-shot prompting templates to guide agents by providing predefined patterns and checklists that instruct the LLM to follow a clear, executable workflow for verifiable multi-step task completion.

Why does my LLM agent produce inconsistent outputs across different prompts?▼

LLM agents produce inconsistent outputs when prompts lack standardization. Implementing a library of reusable templates, hooks, and system prompts ensures repeatable AI interactions and reliable behavior across sub-agents.

Do I need predefined templates to manage agent workflows in testing and production?▼

Predefined templates are needed to manage agent workflows in testing and production because they accelerate developer workflows and enforce best-practice patterns, ensuring reliable behavior from agents and sub-agents.

When should I use chain-of-thought reasoning over few-shot prompts for my agents?▼

Use chain-of-thought reasoning when agents must navigate complex, multi-step decision workflows requiring verifiable logic, whereas few-shot prompts are better for standardizing specific output formats and behaviors.