geopandas

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

Quality

86%

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Securityby

Passed

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Quality

Content

72%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Well-structured, code-rich content that uses progressive disclosure effectively with real reference files. Main weaknesses are missing validation checkpoints in destructive/batch workflows and a few placeholder-laden or over-explanatory sections.

Suggestions

Add explicit validation/verification checkpoints to the Common Workflows (e.g., assert gdf.is_valid.all() and confirm CRS match before exporting, verify output file after to_file).

Tighten the intro and section preambles (e.g., 'GeoPandas extends pandas...') to remove concept explanation Claude already knows, improving conciseness.

Make key code examples more copy-paste ready by replacing generic placeholders (gdf1, gdf2, engine) with concrete, runnable snippets or clearly marked sample data.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with code-driven sections and brief intros, but a few explanatory lines (e.g., 'GeoPandas extends pandas to enable spatial operations...') could be trimmed; fits the score-4 anchor of efficient content with minor over-explanation.	4 / 5
Actionability	Provides concrete, mostly executable code across Quick Start, Common Operations, and Workflows, but examples rely on placeholders (gdf1/gdf2, engine, xmin/ymin) preventing fully copy-paste-ready execution, fitting score-4.	4 / 5
Workflow Clarity	Common Workflows list numbered sequences (Load, Transform, Analyze, Export) but lack explicit validation/verification checkpoints for destructive or batch operations (file writes, spatial joins), which caps the score at 3 per the rubric.	3 / 5
Progressive Disclosure	Clear overview body with well-signaled, one-level-deep references to real bundle files (data-structures.md, data-io.md, crs-management.md, etc.) and a consolidated 'Detailed Documentation' list, matching the score-5 anchor.	5 / 5
	Total	16 / 20 Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that clearly states what the skill does and when to use it, with comprehensive concrete actions and natural trigger terms. It is detailed without being vague or padded.

Dimension	Reasoning	Score
Specificity	Lists many concrete actions (spatial analysis, geometric operations, spatial joins, overlay, choropleth mapping, buffer analysis, dissolving boundaries, clipping, area/distance calculation, reprojection, format conversion) with comprehensive coverage matching the score-5 anchor.	5 / 5
Completeness	Explicitly answers 'what' ('Python library for working with geospatial vector data...') and 'when' via two explicit trigger clauses ('Use when working with geographic data...', 'Use for tasks like...'), matching the score-5 anchor.	5 / 5
Trigger Term Quality	Comprehensive natural terms and file formats (shapefiles, GeoJSON, GeoPackage, PostGIS, choropleth, spatial joins) that users would actually say, including synonyms and file extensions, matching the score-5 anchor.	5 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (geospatial vector data) with distinct, specific triggers and minimal overlap risk with other skills, matching the score-5 anchor.	5 / 5
	Total	20 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning

	Total	15 / 16 Passed

Repository: foryourhealth111-pixel/Vibe-Skills
Path: bundled/skills/geopandas/SKILL.md
Commit: d5ae560

Reviewed: 1 day ago

Table of Contents

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