keyword-strategy

I've been analyzing skills that help with SEO and content strategy, and I noticed your approach to keyword research caught my attention—particularly how you're thinking about the intersection of technical optimization and content discovery.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

TL;DR

You're at 55/100, which puts you in F territory. This one's based on Anthropic's skill grading rubric—looking at how well it sets Claude up to actually execute your workflow. Your strongest area is Spec Compliance (12/15)—the YAML and conventions are solid. The weakest is Utility (8/20)—the framework exists but lacks the concrete execution details Claude needs to actually build a keyword strategy.

What's Working Well

• Valid spec structure — Your frontmatter is clean, name follows hyphen-case conventions, and the YAML is properly formatted
• Real SEO concepts — You're addressing a legitimate problem: mapping search intent to persona questions across the funnel
• Clear trigger language — The description mentions "researching, clustering, and prioritizing keywords," which is pretty discoverable
• Framework thinking — You've laid out 5 logical steps (intent mapping, data sources, clustering, prioritization, ops structure) that actually make sense for the problem

The Big One: Missing Reference Architecture

Here's what's holding you back: you've got a framework but no way for Claude to actually execute it. You mention templates ("Cluster sheet with keyword, intent, volume, KD, SERP notes"), but they don't exist. You reference data sources ("Search Console, keyword tools, intent data") but don't explain which tools or how Claude accesses them. You talk about clustering and prioritization but skip the scoring formulas, ...