Built my Executive Assistant for SEO automation! I used this challenge to build something I actually needed: an EA in Claude Code that handles the most repetitive part of my team's workflow ā keyword research and semantic clustering. What I built: - Context files with my role, team structure, current priorities, and business goals - A full SEO pipeline skill that chains 4 steps end-to-end: seed words ā keyword combinations ā Yandex Wordstat volumes ā page clusters - Each step is a separate skill I can also run standalone How it works: I type /seo-pipeline [keyword] and the assistant scrapes Yandex + Google SERP, extracts seed keywords, generates combinations, checks search volumes, and outputs a structured cluster map ā ready to hand to the SEO team. APIs connected: - SerpAPI ā scrapes Yandex + Google SERP results - Firecrawl ā extracts content from competitor pages - Yandex API ā pulls real search volume data from Wordstat - Google Sheets API ā exports results for the team The part that surprised me: Building the skill the first time manually forced me to document every decision. When I asked Claude Code to "turn this into a skill," it already had all the context it needed. The quality of the output was noticeably higher because the EA knows our niche, our market, and our team setup. What's next: Connect MCP servers for real-time data and automate the morning SEO check-in. This thing is genuinely useful on day one. That's the bar I was aiming for. Big thank you to Nate Herk for this course ā it gave me a real framework, not just a demo.š»