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This skill should be used when users need ranked county-level demographic metrics within a state from a local CSV file, such as income, population, poverty, or rent.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
This skill should be used when users need to analyze county-level racial composition change between two Census snapshots and identify where places crossed a majority-minority threshold.
This skill should be used when users need to rotate images by 90 degrees. It handles image rotation tasks for common formats (PNG, JPG, JPEG, GIF, BMP, TIFF) using a reliable Python script that preserves image quality and supports both clockwise and counter-clockwise rotation.
Fetch 7-day weather forecasts from Open-Meteo API. ALWAYS use get_coordinates.py first when given city names to look up coordinates, then use get_forecast.py with those coordinates. Use for weather forecasts, weather data, or temperature trends.
Analyze FEC (Federal Election Commission) campaign finance filings. Use when working with FEC filing IDs, campaign finance data, contributions, disbursements, or political committee financial reports.
| name | state-county-rankings |
| description | This skill should be used when users need ranked county-level demographic metrics within a state from a local CSV file, such as income, population, poverty, or rent. |
Use this skill to rank counties within a state for one or more metrics from a local dataset.
dplyr, tidyr, readr, stringr, and jsonlitecounty, a state column (state, state_name, or state_abbrev), and requested metric columnsskills/state-county-rankings/data/county_demographics_acs5_2023.csv--state accepts full names or USPS abbreviations (for example, Georgia or GA).skills/state-county-rankings/data/county_demographics_acs5_2023.csvskills/state-county-rankings/references/COLUMN_REQUIREMENTS.md and use exact output headers before downstream filtering/selecting.
state, county, metric, value, rank, and direction.Rscript skills/state-county-rankings/scripts/get_state_county_rankings.R --input skills/state-county-rankings/data/county_demographics_acs5_2023.csv --state "<state>"Return ranked rows with:
statecountymetricvaluerankdirection