Reps tailor outreach better when they know how a prospect likes to be approached, but pulling that per lead by hand never happens. This sync keeps Humantic profiles current automatically.
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README.md
Why this subagent
Reps tailor outreach better when they know how a prospect likes to be approached, but pulling that per lead by hand never happens. This sync keeps Humantic profiles current automatically.
When a lead lands, it reads the existing profile or creates one from their LinkedIn and email, then maps the personality read onto the CRM contact. Reps open a record and see how to pitch that person, and leads with too little data get flagged rather than half-filled.
How it runs
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.
Fetch the existing profile or create one from the lead's LinkedIn URL and email.
pending
Map the personality traits and communication tips onto the CRM contact fields.
pending
Write the enriched profile back and flag leads where Humantic had too little to analyze.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Given a lead record, read or create its Humantic profile and return a JSON object with personality traits, communication tips, and the CRM fields updated.
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.