review-prompts

Review AI prompt templates for structure, domain alignment, and LLM best practices.

Updated Jul 3, 2026
One-click install
npx skills add https://github.com/Reidond/Banshee --skill review-prompts-reidond
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-prompts
Source: https://github.com/Reidond/Banshee/tree/main/.claude/skills/review-prompts
Command: npx skills add https://github.com/Reidond/Banshee --skill review-prompts-reidond

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams identify weaknesses in AI prompt templates by providing a structured review workflow that improves prompt quality, consistency, and domain alignment.

Core Features & Use Cases

  • Prompt Engineering Review: Evaluates prompt structure, output formats, parameters, efficiency, guardrails, and LLM best practices.
  • Domain Expert Review: Reviews methodology accuracy, terminology, calibration, personas, and human-to-AI translation gaps.
  • Workflow Tracking: Creates a Prompts_Review.md document to organize findings, progress, priorities, and recommended actions across prompt collections.

Quick Start

Use the review-prompts skill to audit all AI prompt templates in the project and generate a comprehensive improvement report.

Frequently Asked Questions about review-prompts

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

FAQPage Schema
How do I audit and improve AI prompt templates systematically?

To audit AI prompt templates systematically, you can apply a structured engineering review that evaluates prompt structure, output formats, parameters, efficiency, guardrails, and LLM best practices to identify weaknesses and recommend improvements.

What is a prompt engineering review and when do I need it?

A prompt engineering review evaluates prompt structure, output formats, parameters, and LLM best practices. You need it when your AI product workflows require quality audits to ensure prompt effectiveness, consistency, and domain alignment across template systems.

How do I review AI prompts for domain accuracy and methodology gaps?

You review AI prompts for domain accuracy by performing a domain expert review that checks methodology accuracy, terminology calibration, personas, and identifies human-to-AI translation gaps within your prompt libraries.

Can I track prompt review progress and findings across a project?

Yes, you can track prompt review progress by generating a Prompts_Review.md document that organizes findings, progress, priorities, and recommended actions across your entire prompt collection.

Does this structured prompt review work for embedded AI instructions and template systems?

Yes, this structured prompt review applies to projects with prompt libraries, embedded AI instructions, template systems, and AI product workflows, evaluating prompt effectiveness and recommending improvements across all these formats.