opus-prompting

Optimize Claude Opus 4.5 prompts for literal instruction-following accuracy.

3|2|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/AeyeOps/aeo-skill-marketplace --skill opus-prompting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opus-prompting
Source: https://github.com/AeyeOps/aeo-skill-marketplace/tree/main/aeo-claude/skills/opus-prompting
Command: npx skills add https://github.com/AeyeOps/aeo-skill-marketplace --skill opus-prompting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill helps teams craft Claude Opus 4.5 prompts that reliably follow literal instructions, reducing misinterpretations and off-target outputs across AI-assisted workflows.

Core Features & Use Cases

  • System-prompt optimization for literal instruction-following with migration guidance from Claude versions.
  • Agentic-pattern design and debugging prompts for autonomous workflows.
  • Prompt pattern analysis with actionable recommendations via the analyze-prompt utility.

Quick Start

  1. Review references/patterns.md and references/agentic-patterns.md to understand recommended patterns.
  2. Prepare a prompt file, e.g., prompts/my_prompt.txt.
  3. Analyze it with the local tool: run python3 scripts/analyze-prompt.py prompts/my_prompt.txt.
  4. Apply recommended changes and test iteratively in your environment.

Frequently Asked Questions about opus-prompting

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

FAQPage Schema
How do I optimize Claude Opus system prompts for literal instruction-following?

The Skill uses a local analyze-prompt utility to evaluate prompt files against Claude Opus 4.5 style and safety guidelines, generating actionable recommendations to reduce misinterpretations and off-target outputs.

How do I migrate prompts from older Claude versions to Opus 4.5?

The Skill provides dedicated migration guidance within its reference files to help adapt existing prompts to Claude Opus 4.5 style and safety guidelines.

What is the best way to design agentic workflows for autonomous Claude prompts?

The Skill includes agentic-pattern design references and debugging capabilities to structure autonomous workflows and refine prompt behavior for reliable execution.

Can I analyze my prompt files locally to find Opus 4.5 compliance issues?

You can run the included Python script `analyze-prompt.py` against a prompt file to check for Opus 4.5 compliance and receive actionable recommendations.

Why does my Claude Opus prompt produce off-target outputs despite clear instructions?

Off-target outputs often result from prompts violating Opus 4.5 style and safety guidelines; the analyze-prompt utility identifies these structural issues for correction.