Map the decision-makers and buying committee at a target account. Identifies economic buyers, champions, technical evaluators, and influencers; prioritizes who to engage first; surfaces coverage gaps and multi-thread risk. Leads with a TL;DR (top 3 to engage, biggest gap, single-thread risk), uses compact tables, and flags recently appointed leaders. Identify the account by company domain (preferred) or company name; include deal context, persona priorities, and any hypotheses to test.
Drop this skill into Claude Code and your AI agent gains the ability to map the buying committee at one target account: who matters, what role they play, and who to engage first.
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.
Map the buying committee at acme.com. Stage 3 deal, $400K ARR, security platform. We talked to the Director of SecOps but the CISO is quiet: find the economic buyer and any procurement blockers.
Decision-makers at Globex for a Data Platform pitch. Cold prospecting, no prior engagement. Likely Eng or Data leadership, flag CFO if cost story applies.
Renewal in 90 days at initech.com, champion left last quarter. Find the new owner and anyone who could block renewal.
MIT