Triage, standardize, and validate a CSV, Excel, or JSON list of companies or contacts before enrichment. Profile fill rate and cardinality, normalize company names and domains, validate emails and phones, tag invalid rows non-destructively. Run before match-business or match-prospects so you do not pay to enrich noreply, disposable, or empty rows.
Drop this skill into Claude Code and your AI agent gains the ability to per-row cleanup on a gtm list before any explorium match or enrich call. profile, standardize, validate. never destructive: raw input is preserved, invalid rows are tagged with reason codes rather than deleted. out of scope: deduplication and canonical entity resolution (that is what match-business and match-prospects are for).
This skill is part of a 14-skill series covering the full B2B sales workflow, powered by the Explorium AgentSource API — 350M+ people, 80M+ companies, real-time firmographics, technographics, funding signals, and verified contact data.
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├── SKILL.md # Full skill definition — input, workflow, output format, limitations
├── llms.txt # AI-readable summary of this skill and the full series
└── README.md
/plugin marketplace add https://github.com/explorium-ai/Agent-skills
Point your agent at SKILL.md for the full skill instructions.
Clean this leads CSV before I import it to HubSpot.
Normalize the company names and domains in /path/accounts.xlsx.
Validate the emails in this file and tag the bad rows.
Prep this list for match-prospects, only keep contactable corporate rows.
MIT