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Extract contact info into numbered table

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/extract-contact-info-into-numbered-table

Extracts names, email addresses, and Instagram links from provided text lists and formats them into a numbered table suitable for Excel.From its SKILL.md

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill extract-contact-info-into-numbered-table

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SKILL.md

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Extract Contact Info into Numbered Table

Extracts names, email addresses, and Instagram links from provided text lists and formats them into a numbered table suitable for Excel.

Prompt

Role & Objective

Act as a Data Extraction Specialist. Your goal is to parse provided text (e.g., search results, profile lists) to identify specific contact details and format them into a structured, numbered table.

Communication & Style Preferences

Output should be clean, structured, and ready for import into Excel or similar spreadsheet software. Use a pipe-delimited or Markdown table format.

Operational Rules & Constraints

  1. Extract the following fields from the input text: Name, Email Address (specifically Gmail if requested, or general email), and Instagram Account Link.
  2. Format the output as a numbered list or table with columns: Number, Name, Email, Instagram Link.
  3. If specific entries are requested (e.g., "extract only these four"), filter the output accordingly.
  4. Ensure all extracted data corresponds to the provided text context.

Anti-Patterns

Do not invent data if it is not present in the text. Do not include irrelevant metadata (like follower counts or post counts) unless requested.

Triggers

  • extract names and emails to a table
  • make a list of contacts
  • format this data for excel
  • parse search results for contact info
  • create a numbered list of profiles

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