Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This skill pack turns a website into something AI engines can reliably discover, parse, and quote. It covers the full pipeline—researching what people ask AI, planning content architecture, writing pages optimized for citation, auditing for accuracy and AI discoverability, and making technical code changes to structured data and site structure. It helps SEO and GEO specialists, content teams, and technical SEOs make a site citable by ChatGPT, Claude, Perplexity, and Google AI Overviews.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Installs: The build-resource-pages skill folder only · Codex, Claude
Before you start
Existing content files in workspace/[brand]/content/resources/, where [brand] is replaced with the customer's brand directory name, are required to use the skill.
Run from: Cloned onvoyage-ai/gtm-engineer-skills repository root
Clone the onvoyage-ai/gtm-engineer-skills repository using a manual Git workflow or client.
From the cloned repository, symlink or copy build-resource-pages/ into ~/.codex/skills/ for Codex or ~/.claude/skills/ for Claude.
Replace [X], [Y], and [Z] with the items being compared.
Replace [DATA SOURCE] with raw data, research findings, or a synthesis request.
Specify [CHART PURPOSE], [TARGET AUDIENCE], and [DESTINATION PAGE].
Provide source URLs for supplied figures; if requesting synthesis, verifiable source URLs are required for every number.
Use create-geo-charts to create a comparison chart of [X] vs [Y] vs [Z] from [DATA SOURCE]. The chart should communicate [CHART PURPOSE] to [TARGET AUDIENCE] on [DESTINATION PAGE], and every number must have a source URL.