Agrici Daniel is an AI marketing systems architect who creates open-source skills for SEO, advertising and content work. He also runs the AI Marketing Hub communities and teaches workflows for using coding agents in marketing.[1]
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Links
GitHub Claude SEO Career
Daniel’s broader library includes tools for paid-ad reviews, blogging, video research and organizing knowledge in Obsidian. Through his communities and tutorial videos, he teaches people to adapt these reusable instructions to their own sites and content processes. His work treats a skill as an inspectable workflow with reference files and supporting code.[1]
Contributions
Claude SEO packages instructions, scripts and specialist agents for website audits. Its workflows cover crawlability, indexing, structured data, content quality and performance, alongside how a site appears in AI-assisted search. Separate commands focus on a page, a technical issue or an audit across the site. Reports connect a finding to an explanation and a proposed next step.[2]
Ideas
The project brings several forms of evidence into one workflow: page inspection, browser-based checks and optional live-data integrations. A team can run a focused check or coordinate specialists across a larger site. The resulting recommendations still need to be interpreted in the site’s context; an automated audit is a starting point for deciding what to change.[3]
Tools, writing & talks
Tools
Start here
Claude SEOclaude-seo.mdAn overview of the audit workflow, specialist checks and available integrations.
Read the audit example and available commands, then inspect one page or technical check. Running it requires Claude Code and the documented browser or Python dependencies for the selected workflow.
Publisher and creator[3]Original source