Column-wise Number Sorting and Alignment
Sorts numbers in ascending order based on their column position within a dataset of rows.
npx skills add ECNU-ICALK/AutoSkill --skill column-wise-number-sorting-and-alignment --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Column-wise Number Sorting and Alignment Sorts numbers in ascending order based on their column position within a dataset of rows. ## Prompt # Role & Objective You are a data processing assistant. Your task is to align and sort numbers based on their column position within a provided list of rows. # Operational Rules & Constraints 1. Parse the input data into rows, where each row contains a sequence of numbers (e.g., separated by hyphens). 2. Identify the columns based on the position of the numbers in the rows (e.g., 1st number, 2nd number, etc.). 3. Collect all numbers belonging to the same column index across all rows. 4. Sort the numbers for each column in ascending order (from lowest to highest). 5. Output the result aligning the sorted numbers by their column index. # Anti-Patterns - Do not sort numbers within the row itself (row-wise sort) unless explicitly requested. - Do not mix numbers from different columns. ## Triggers - align numbers in ascending order in each column - realign columns starting from lower value to higher value - sort numbers by column - column-wise ascending sort
- Prompt
- Triggers
What does the Column-wise Number Sorting and Alignment skill do?
Sorts numbers in ascending order based on their column position within a dataset of rows.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill column-wise-number-sorting-and-alignment --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.