What is the benefit of using Chain of Thought prompting?

Chain of Thought forces the model to explain its reasoning step-by-step, which significantly increases accuracy for complex logic, math, and multi-stage tasks.

Does this skill help with structured data output like JSON?

Absolutely. It provides templates for defining schemas, using few-shot examples, and utilizing 'prefilling' to ensure the model outputs valid JSON without extra conversational filler.

How does this skill improve Claude's performance?

It leverages Claude-specific techniques such as XML tag wrapping and response prefilling, which have been proven by Anthropic research to improve instruction following.

Can I use these prompts for GPT-4 or other models?

Yes, the skill includes specialized logic to switch between XML-based structures for Claude and Markdown-based structures optimized for OpenAI models.

Advanced Prompt Architect

Name: Advanced Prompt Architect
Author: Devattom

byDevattom

0•

データサイエンスとML

Generates and optimizes high-performance prompts for Claude, GPT, and other LLMs using research-backed engineering techniques.

Advanced Prompt Architect is a comprehensive utility designed to maximize the performance of Large Language Models by applying industry-standard prompting methodologies. It guides users through a structured workflow to identify goals, select specific techniques like Chain of Thought or few-shot examples, and organize content using XML tags or Markdown. Whether you are building complex autonomous agents or simple data extraction tools, this skill ensures your prompts are clear, context-rich, and optimized for the specific architecture of the target model, leading to higher reliability and fewer hallucinations.

主な機能

01Context management and state tracking for long-running AI tasks

02Structural optimization using XML tags for Claude and Markdown for GPT

03Automated implementation of Chain of Thought (CoT) reasoning patterns

040 GitHub stars

05Few-shot example generation to enforce specific output formats

06Anti-pattern detection to remove vague language and negative prompting

ユースケース

01Refining a vague system prompt into a structured, role-based instruction set

02Creating multi-step reasoning workflows for complex data analysis or coding tasks

03Optimizing API-style JSON outputs using model prefilling and schema definitions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add devattom/.claude create-prompt

For use in Claude.ai and ChatGPT