Generative Engine Optimization (GEO) tasks are often repetitive and require standardization. The yao-geo-skills repository addresses this by providing a curated collection of reusable "Skill" packages designed for GEO workflows. It targets teams aiming to standardize GEO tasks, share workflows securely, and reduce redundant effort by packaging capabilities into verifiable assets.

How It Works

The core approach involves packaging reusable "Skills" for specific GEO tasks, focusing on Generative Engine Optimization rather than geographical information. Each skill is a self-contained asset with a defined entry point (SKILL.md), metadata (manifest.json), input templates, and rigorous validation files (trigger_cases.json, expected_artifacts.json). This design prioritizes reusability, verifiability through structural checks, clear operational boundaries, and open-source safety by mandating de-identification of public examples. The focus is on complete, verifiable execution assets rather than ephemeral prompts.

Quick Start & Requirements

Installation involves cloning the repository: git clone https://github.com/yaojingang/yao-geo-skills.git. Repository structure validation can be performed using python3 scripts/validate_repository.py. Prerequisites are standard for Python development environments. Some skills integrate with or are designed for the GEOFlow system and Laravel environments. The project offers a visual navigation page (index.html) and detailed documentation for each skill, with English documentation available.

Highlighted Details

• Contains 17 distinct GEO skills categorized across operations, strategy, page technical, content production, knowledge assets, measurement, and research.
• Skills are designed to produce structured outputs in multiple formats (Markdown, HTML, Word, PDF), often tailored for specific AI platforms (e.g., DeepSeek, Kimi, Doubao).
• A key differentiator is the emphasis on verifiability, enforced by repository-wide validation scripts and skill-specific trigger/artifact testing.
• The project prioritizes complete, reusable "execution assets" over simple prompt collections, with a focus on practical application and direct deliverability.

Maintenance & Community

The provided README does not contain specific details regarding notable contributors, sponsorships, community channels (e.g., Discord, Slack), or a public roadmap.

Licensing & Compatibility

A LICENSE file is present in the repository structure. However, the specific license type and its implications for commercial use or closed-source linking are not detailed within the provided README text.

Limitations & Caveats

This repository is strictly for Generative Engine Optimization (GEO) skills and is not suitable for general-purpose tools, geographical information, or storing ephemeral prompts. Content intended for public sharing must be de-identified and free from private system dependencies. It is not designed for tasks requiring proprietary systems, private documentation, or private APIs.