answer-engine-optimization

7 stars

> Professional Answer Engine Optimization for Marketers & SEO Specialists

CommandsAgents

#Answer Engine#content#citation#Engine Optimization#SEO Specialists#AEO#competitor#competitor citation

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install alirezarezvani/aeo-box/answer-engine-optimization

OpenCode (CLI) Fast

skilz install alirezarezvani/aeo-box/answer-engine-optimization --agent opencode

OpenAI Codex (CLI) Native

skilz install alirezarezvani/aeo-box/answer-engine-optimization --agent codex

Gemini CLI (Project) Project

skilz install alirezarezvani/aeo-box/answer-engine-optimization --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/alirezarezvani/aeo-box

2. Copy the agent skill directory:

cp -r aeo-box/answer-engine-optimization ~/.claude/skills/

Agentic Skill Grades →

Agent Skill Grade

Score: 43/100 Click to see breakdown

Score Breakdown

Spec Compliance

0/15

PDA Architecture

18/30

Ease of Use

13/25

Writing Style

3/10

Utility

14/20

Modifiers: -5

Areas to Improve

Invalid or incomplete frontmatter
Marketing Voice Throughout
Name convention violations

Recommendations

Focus on improving Spec Compliance (currently 0/15)
Focus on improving Ease Of Use (currently 13/25)
Focus on improving Writing Style (currently 3/10)

Graded: 2026-01-24

Developer Feedback

I took a look at your answer-engine-optimization skill and noticed the PDA score is dragging things down—you've got solid foundational concepts, but the guide structure could be way more token-efficient if you break up those massive sections and add progressive disclosure checkpoints. What's your thinking on the current organization?

Links:

The TL;DR

You're at 43/100, which puts you in F territory. This is based on Anthropic's 5-pillar grading framework for agentic skills. Your strongest area is Utility (14/20)—the core problem you're solving is real and the feature set is comprehensive. Your biggest weakness is Spec Compliance (0/15)—there's no frontmatter at all, which is a hard blocker for skill metadata.

What's Working Well

Real problem-solving power: AEO is a legitimate need, especially as LLMs become more prominent in search. Your approach to E-E-A-T analysis and citation tracking addresses a genuine pain point.
Extensive configuration flexibility: TARGET_INDUSTRY, GEOGRAPHIC_REGION, and optimization levels give users real degrees of freedom to customize their approach.
Good command documentation: Your numbered steps and examples for commands are clear and easy to follow—that 4/5 workflow clarity score is earned.

The Big One: Missing Frontmatter

This is your biggest blocker. The skill has zero frontmatter—no YAML at the top with name, description, version, or trigger phrases. This isn't just a documentation thing; it's how the marketplace and Claude actually discover and invoke the skill.

Fix: Add this to the very top of SKILL.md:

---
name: answer-engine-optimization
description: Optimize content for AI citation using E-E-A-T analysis and struct...

AI-Detected Topics

Extracted using NLP analysis

Answer Engine content citation Engine Optimization SEO Specialists AEO competitor competitor citation API Query

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