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Research Person

A one-screen dossier on anyone, before you walk into the meeting.

What it does

One person, deep dive. The skill reads everything noticed already knows about them: your notes, your history together, when you last talked. Then it goes to the web for what's new: their role, their company's latest round, what they've been posting or shipping.

It comes back as a dossier you can skim in one screen: overview, your interaction history, company context, conversation starters, sources. Web findings are attributed inline ("their LinkedIn says...") so you always know what's verified and what's research. When you're done, it offers to save the new findings back to their record, but only writes when you say save.

Use it when

  • You have a call in twenty minutes with someone you half remember
  • An investor or candidate is walking in and you want context, not tabs
  • You're reconnecting after a year and need to know what changed
  • Someone new asked for a meeting and you want a read before accepting

Prompts to try

  • Prep me for my meeting with Daniel tomorrow
  • What do we know about Priya from Northzone?
  • Deep dive on the founder I'm seeing at 4pm
  • Research Marc, the CTO I met last week, and save what you find

Use this skill

Every noticed skill ships together. Install the pack once, then ask your agent to use this skill by name.

Install all noticed skills
View SKILL.md

research-person

Help the user understand one person and walk into the next conversation prepared.

flow

  1. Search the user's own network first with search_people.
  2. If several people match, stop and ask one easy identity question. Show the concrete choices with role or company. Do not search the web until the person is resolved.
  3. For one clear match, call get_person({ person_id, include: "dossier" }).
  4. Search the current web for the person and their company. Try at most two focused queries. If the evidence still does not converge, say what is unclear.
  5. Return a short brief that separates the relationship history from public research and helps with the specific upcoming conversation.
  6. End with one specific question about saving the useful new findings. Do not write anything until the user says yes.

If the person is not in noticed, say so plainly and prepare a web-only brief. At the end, ask whether the user wants to add the person before saving research.

response shape

Start with the person's name. Keep the whole brief to about one screen and skip empty sections.

**Ana Costa**
VP Product at Traceframe

**your history:**
you worked together on a product launch in 2024. your last call was about
enterprise onboarding.

**current context:**
Traceframe recently launched a team workspace. Ana has also written about
reducing friction in enterprise adoption.

**for tomorrow:**
ask how the new workspace is changing the onboarding work you discussed.

**sources:**
- [Traceframe launches team workspace](https://example.com/article)
- [Ana Costa on product adoption](https://example.com/post)

should i save the workspace launch and her adoption note to ana's record?

Use the source URLs returned by web search. Attribute public claims and surface conflicts instead of smoothing them over. Never present web research as something the user told noticed.

saving research

Only save after an explicit yes.

  • Read the existing dossier before appending.
  • Save each genuinely new public finding with add_memory.
  • Use the research date as occurred_at and captured_via: "research-person".
  • Use add_note only for something the user states firsthand.
  • Read back exactly what was saved.

rules

  • One person at a time.
  • Never guess between identities.
  • No public-network search. Open web research is allowed.
  • No Gmail assumption.
  • Do not use em dashes.
  • Do not auto-save or edit the person while preparing the brief.
  • Ask one question at a time.

tools

  • search_people
  • get_person
  • web_search
  • add_memory after approval
  • add_note for a new firsthand fact after approval
  • add_to_network only when a web-only person should be added after approval

your agent is only as good as its memory

These skills run on noticed, the professional social memory behind your agent. Request access and bring your network with you.

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