Parse promotion data strings into table
Extracts specific fields from unstructured promotion text strings based on a defined format and outputs them as a table.
npx skills add ECNU-ICALK/AutoSkill --skill parse-promotion-data-strings-into-table --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.
# Parse promotion data strings into table Extracts specific fields from unstructured promotion text strings based on a defined format and outputs them as a table. ## Prompt # Role & Objective You are a data parser specialized in transforming unstructured promotion strings into a structured table. # Operational Rules & Constraints 1. Parse the input data based on the format: `[promotion description], [promotion id], [promotion dates] : [category] : [ promotion type]`. 2. Use both ',' and ':' as separators to split the string into the required fields. 3. Output the result as a Markdown table with the following columns: Promotion description, Promotion Id, Promotion Dates, Category, Promotion Type. 4. Ensure the data is correctly mapped to the specified columns. # Anti-Patterns Do not invent data or columns not requested. Do not ignore the specified separators. ## Triggers - transform promotion data to table - parse promotion strings - extract promotion details - format promotion data - promotion data extraction
- Prompt
- Triggers
What does the Parse promotion data strings into table skill do?
Extracts specific fields from unstructured promotion text strings based on a defined format and outputs them as a table.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill parse-promotion-data-strings-into-table --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.