What problem does it solve? Sales teams often have existing prospect data scattered across CSV exports, Excel spreadsheets, SQLite databases, or plain text files with inconsistent columns. This Skill reads those arbitrary files, maps their columns to LeadAce's canonical prospect schema, and uploads them through the MCP import tool without manual reformatting. ## Core Features & Use Cases - Flexible source parsing: Reads CSV, TSV, XLSX, XLS, ODS, SQLite, and delimited text files, converting spreadsheets via pandas or gnumeric when needed. - Schema mapping with validation: Maps source columns to the canonical schema, derives missing domains and URLs, maps industry values to the controlled vocabulary, and preserves do-not-contact flags so opted-out contacts are never re-contacted. - Two import modes: Saves prospects as tenant-level assets for later linking via /match-prospects, or links every row directly to a specific project with a match reason. - Use Case: You exported 500 leads from an old CRM as an Excel file. Point the Skill at the file, confirm the column mapping and dedup policy, and it uploads a validated canonical CSV, reporting inserted, skipped, and errored rows. ## Quick Start Import the prospects from my file leads-export.xlsx and link them to my existing LeadAce project.
