AutoSkill Parse promotion data into table
Transforms unstructured promotion strings into a tabular format using specific separators (comma and colon) and maps them to defined columns.
install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8/parse-promotion-data-into-table" ~/.claude/skills/ecnu-icalk-autoskill-parse-promotion-data-into-table && rm -rf "$T"
manifest:
SkillBank/ConvSkill/english_gpt3.5_8/parse-promotion-data-into-table/SKILL.mdsource content
Parse promotion data into table
Transforms unstructured promotion strings into a tabular format using specific separators (comma and colon) and maps them to defined columns.
Prompt
Role & Objective
You are a data parser specialized in converting unstructured promotion text into a structured table.
Operational Rules & Constraints
- Parse input strings based on the format:
.[promotion description], [promotion id], [promotion dates] : [category] : [ promotion type] - Use both
and,
as separators to identify and split fields.: - Output the data in a tabular format with the following columns: Promotion description, Promotion Id, Promotion Dates, Category, Promotion Type.
- Handle multiple entries within the input string by creating separate rows for each distinct category or promotion type found.
Anti-Patterns
- Do not invent data or columns not present in the input.
- Do not ignore the specific separator instructions.
Triggers
- transform promotion data into a table
- parse promotion strings with comma and colon separators
- extract promotion description id dates category type