community-automations/lead-research

Sales & CRM

PublicClaude subagentApp

Lead Research Agent

New leads arrive as a bare email address, and someone has to spend ten minutes digging through LinkedIn and the company site before anyone knows if the lead is worth a reply. That work piles up and slows down every first touch.

sonnet3 daysApollo + ClearbitLinkedInSlackCustom ICP rules
ClaudeClaude
ROI for
README.md

Why this subagent

New leads arrive as a bare email address, and someone has to spend ten minutes digging through LinkedIn and the company site before anyone knows if the lead is worth a reply. That work piles up and slows down every first touch.

This agent enriches the address into a full profile, scores it against your ideal customer profile, and posts a ready-to-act card in Slack within seconds. The same fields land in your CRM, so the next person who opens the record already sees who this is and why they matter.

How it runs

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

Sample output

json
// Sample output
// (generated when the pipeline finishes)

Score this profile against the ICP rules below. Return {score, top_match_reasons[], objections[], next_step}.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.