gtm-engineer-skills  by onvoyage-ai

AI-powered Claude Code skills for go-to-market engineering

Created 5 months ago
1,257 stars

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Project Summary

This repository provides a suite of Claude Code skills designed to enhance website AI Engine Optimization (AEO) and Generative Engine Optimization (GEO) scores. It targets go-to-market engineers and content creators seeking to improve search engine and AI discoverability, offering a structured workflow for research, content generation, auditing, and website code improvements. The primary benefit is a systematic approach to optimizing content and site architecture for modern AI-driven search and content consumption.

How It Works

The project employs a sequential, multi-stage workflow where each skill builds upon the output of the previous one. It begins with research-brand to establish foundational company DNA, followed by research-keywords and geo-content-research to identify target audiences and AI prompts. geo-content-planning then outlines a content architecture, leading to write-seo-geo-content for article generation and create-geo-charts for data visualization. Finally, audit-content verifies accuracy, and subsequent skills like build-resource-pages and improve-aeo-geo integrate content or directly optimize website code for AI discoverability. This modular, step-by-step approach ensures a cohesive and data-driven optimization process.

Quick Start & Requirements

Skills are installed individually using curl commands to download .md files into a ~/.claude/skills/ directory structure, implying a prerequisite Claude Code environment. No other specific software, hardware, or API keys are mentioned.

  • Primary install / run command: Download individual skills via curl (e.g., curl -o ~/.claude/skills/research-brand/skill.md https://raw.githubusercontent.com/onvoyage-ai/gtm-engineer-skills/main/research-brand/skill.md).
  • Prerequisites: Claude Code environment.
  • Links: CONTRIBUTING.md for contribution guidelines.

Highlighted Details

  • Comprehensive optimization covering 16 foundational checks and 6 intelligence dimensions.
  • Workflow designed for sequential execution, with outputs feeding into subsequent steps.
  • Generates structured outputs including brand_dna.md, keyword research, content architecture plans, markdown articles, and AI-parsable charts (SVG, HTML, JSON-LD).
  • Includes specific skills for direct website code improvements (improve-aeo-geo) and resource page generation (build-resource-pages).

Maintenance & Community

The repository includes a CONTRIBUTING.md file, indicating a process for community contributions to new or existing skills. No other community channels or specific maintainer details are provided in the README.

Licensing & Compatibility

The project is licensed under the MIT license. This permissive license generally allows for commercial use, modification, and distribution without significant restrictions, making it compatible with closed-source projects.

Limitations & Caveats

The entire skill set is dependent on the Claude Code execution environment, which may limit adoption for users not utilizing this platform. The sequential nature of the workflow means that issues or failures in earlier steps can impact the effectiveness of subsequent stages.

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Last Commit

2 months ago

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