large-scale-map-visualization

large-scale-map-visualization is a Geospatial & mapping skill for AI agents, published by curiositech in the some_claude_skills repository on GitHub. Skillspace rates large-scale-map-visualization D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Master of high-performance web map implementations handling 5,000-100,000+ geographic data points. Specializes in Leaflet.js optimization, Supercluster algorithms, viewport-based loading, canvas rendering, and progressive disclosure UX patterns.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
151

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.

View source on GitHubcuriositech/some_claude_skills

Our review

Architecture
83 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 2 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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