Gather the data needed to tier leads or cold contacts (mixed prospect IDs, emails, LinkedIn URLs, or name+company rows) as Hot / Warm / Cold against a buyer persona and ICP. Resolves each lead, fetches person profile and contact data, pulls account firmographics and recent business events, and returns a per-lead evidence row plus the persona/ICP rule set so the calling model can apply scoring math. Triggers on phrases like "score these leads", "tier this list", "rank inbound", "prioritize my MQLs", "which lead should I call first", "who should I prioritize from this list", "pull fit data on these contacts".
Drop this skill into Claude Code and your AI agent gains the ability to gather verified person, account, and trigger evidence per lead so leads can be tiered hot / warm / cold against a stated persona and icp.
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.
Invoke with your target account or dataset.
MIT