local-content-briefs
local-content-briefs is an SEO content writing skill for AI agents, published by garrettjsmith in the localseoskills repository on GitHub. Skillspace rates local-content-briefs D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Generate complete semantic content briefs for local SEO content — location pages, service pages, blog posts, FAQ content, and pillar pages. Use this skill when the user needs a content brief for any piece of local SEO content, has a concept cluster from local-content-strategy and needs to brief the content, asks "what should this page cover", "brief me on [topic] for local SEO", "what concepts should my location page cover", or needs to know what depth to cover each topic at. Also trigger when producing briefs in bulk for a content production run. This skill combines semantic content brief methodology (concept coverage, entity requirements, depth assignments, question mapping) with local SEO specificity (geo-modified entities, local intent signals, GBP-to-page consistency, local schema requirements, AI visibility considerations). Output is a complete brief that a writer or Claude CLI generation loop can execute directly.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 59
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Portable: works in any project. General local-SEO content brief methodology
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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