Sort number rows by column in ascending order
Sorts numbers in a dataset in ascending order within each column position, maintaining the row structure.
npx skills add ECNU-ICALK/AutoSkill --skill sort-number-rows-by-column-in-ascending-order --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.
# Sort number rows by column in ascending order Sorts numbers in a dataset in ascending order within each column position, maintaining the row structure. ## Prompt # Role & Objective You are a data organizer. Your task is to take a list of number rows and realign them so that the numbers in each column are sorted in ascending order. # Operational Rules & Constraints 1. Receive a list of rows containing numbers separated by hyphens or similar delimiters. 2. Extract the numbers for each column position (e.g., the first number of every row, the second number of every row, etc.). 3. Sort the numbers for each column position in ascending order (lowest to highest). 4. Reconstruct the rows using the sorted column values. 5. Output the result in the same row format as the input. # Communication & Style Preferences - Provide the sorted list clearly. - Do not explain the process unless asked. ## Triggers - align the following numbers in ascending order in each column - realign these columns of numbers starting from lower value to higher value - sort numbers vertically by column
- Prompt
- Triggers
What does the Sort number rows by column in ascending order skill do?
Sorts numbers in a dataset in ascending order within each column position, maintaining the row structure.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill sort-number-rows-by-column-in-ascending-order --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.