Build a Claude Code SEO Second Brain for Draft-Only Work
The tutorial builds a Claude Code SEO second brain from an empty folder, plain-text files and two small Python scripts. It separates rules, skills, memory, search and scheduling so the workflow prepares drafts without publishing them and asks for missing inputs instead of guessing.
The demonstration tests skill retrieval, explains why familiar requests inflate the results, and retries a morning run after a deliberate interruption. It shows how task records prevent duplicate preparation and flag work needing human input, then covers scheduling and the risks of combining private data, untrusted content and outbound access.
Key points
- A Git-tracked workspace separates draft-only rules from SEO skills, whose descriptions and required inputs guide task selection.
- Separate decision, task-state and feedback records preserve authority, progress and corrections that become repeatable checks.
- Expanded skill descriptions improve first-place retrieval from 11 to 18 of 20 requests, with all 20 appearing in the top three.
- Fresh wording exposes a missed keyword request about decaf beans, showing why tests need examples not used to tune descriptions.
- The morning run resumes after an interruption, leaves pending reviews alone and flags tasks with missing keywords.
- The tutorial limits agent edits to drafts and state and warns about combining private data, untrusted content and outbound access.
Chapters
The description and key points were written with AI from the video's transcript and checked against it, then reviewed by Vishal on . The video plays from YouTube. How we write and check our work.
