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.
npx skills add ECNU-ICALK/AutoSkill --skill extract-contact-info-into-numbered-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.
# 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) unle
- Prompt
- Triggers
What does the Extract Contact Info into Numbered Table skill do?
Extracts names, email addresses, and Instagram links from provided text lists and formats them into a numbered table suitable for Excel.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill extract-contact-info-into-numbered-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.