keyword-research
keyword-research is a Keyword research skill for AI agents, published by ViryaZheng in the recomby-geo repository on GitHub. Skillspace rates keyword-research D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Discover, analyze, and prioritize keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance. Generates topic clusters and content calendars. Use when asked to "find keywords", "keyword research", "what should I write about", "keyword analysis", "find me topics to write", "search volume", "keyword difficulty", "content ideas", or any keyword discovery task.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 507
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic SEO/GEO keyword research and topic-clustering method.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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