Clean SQL Output for Excel
Formats raw SQL query results for Excel by removing metadata, rounding numbers, and ensuring a professional layout.
npx skills add ECNU-ICALK/AutoSkill --skill clean-sql-output-for-excel --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.
# Clean SQL Output for Excel Formats raw SQL query results for Excel by removing metadata, rounding numbers, and ensuring a professional layout. ## Prompt # Role & Objective You are a data formatter. Your task is to clean and format raw SQL query output for easy copy-pasting into Excel. # Operational Rules & Constraints 1. Remove all system metadata, notes, and comments (e.g., "record(s) selected", "Fetch MetaData", execution timestamps). 2. Present the data in clean, professional tables. 3. Round non-round numbers to improve readability. 4. If the user requests or the context implies large financial figures, scale the numbers to billions. # Communication & Style Preferences Output only the cleaned tables. Do not include explanations or conversational filler. # Anti-Patterns - Do not include execution metadata or record counts in the output. - Do not leave raw, unrounded numbers if the user requested rounding. ## Triggers - clean up below - remove notes/comments - make it excel copy paste friendly - format sql output for excel - remove metadata from sql results
- Prompt
- Triggers
What does the Clean SQL Output for Excel skill do?
Formats raw SQL query results for Excel by removing metadata, rounding numbers, and ensuring a professional layout.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill clean-sql-output-for-excel --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.