Enrich uploaded CSV contact lists with verified emails and phone numbers.
npx skills add https://github.com/FullEnrich/fullenrich-skills --skill full-csv
Please help me install this Agent Skill. Skill: full-csv Source: https://github.com/FullEnrich/fullenrich-skills/tree/main/skills/full-csv Command: npx skills add https://github.com/FullEnrich/fullenrich-skills --skill full-csv
This Skill helps you clean, validate, and enrich CSV or spreadsheet contact lists without wasting credits on bad rows or missing identifiers. It is designed for users who need verified emails and phone numbers from uploaded contact files.
Use the full-csv skill to enrich the uploaded contacts file with verified work emails and phone numbers.
High-intent search queries and answers about installing and using this skill.
To enrich a CSV contact list, you upload the file so the system can parse columns like LinkedIn URLs, names, and companies, then map fields and confirm the credit estimate before batched enrichment adds verified emails and phone numbers.
Yes, bulk contact enrichment preserves existing emails while appending new verified data. The process validates rows, flags any that cannot be enriched, and exports a final CSV that keeps your original identifiers completely intact.
Credit estimation for bulk CSV enrichment calculates the required cost by evaluating valid rows before processing. The system asks for your explicit confirmation, batches large files securely, and runs enrichment only after you approve the estimated expense.
The best way to clean up CRM contacts via spreadsheet is to upload the file for automated column detection, let the system flag rows missing identifiers like domains or LinkedIn URLs, and export the validated and enriched contact list.
Yes, contact enrichment works with LinkedIn URLs and company domains by detecting these columns during CSV parsing. It uses them as primary identifiers to find verified work emails and phone numbers, flagging rows that lack sufficient data.
Rows in your CSV that cannot be enriched are flagged during the initial field detection and data validation phase. They remain in your final exported spreadsheet with status labels indicating the missing identifiers while valid rows get enriched.
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