local-keyword-research

local-keyword-research is a Keyword research skill for AI agents, published by garrettjsmith in the localseoskills repository on GitHub. Skillspace rates local-keyword-research D (66/100) and it passed the safety scan; the rating is based on static analysis only.

When the user wants to research keywords for a local business, find local search opportunities, build a keyword map for location pages, or understand local search intent. Also use when the user mentions "local keywords," "keyword research," "service area keywords," "near me keywords," "local search volume," "keyword map," "city keywords," "geo-modified keywords," "implicit local intent," or "local keyword strategy." For content creation from keywords, see local-landing-pages. For competitor keyword analysis, see local-competitor-analysis.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
59

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
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 1 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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