person-lookup
Skill9 starsChanged 6 months agoMITView on GitHub
Look up a person's background: work history, education, social profiles, contact info. Use when asked 'who is [person]?' or need to research someone before a meeting. For finding their email specifically, see find-email-by-name. For enriching a lead with full contact data, see lead-enrichment.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- SELAT-AI/selat-skillstheir own version, first seen Oct 4, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- SELAT-AI/selat-skills★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository78 other files it gives its agents.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Before helping, check MEMORY.md for current contacts and relationships.
- Distinctive: line 37
Use LinkedIn URL if available for exact match
- Distinctive: line 62
If researching before a meeting, add:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
[YOUR_PRODUCT] Context
Before helping, check MEMORY.md for current contacts and relationships.
Output in Russian (names, titles, company names in original).
For chat platforms: bio-style summary, not raw data dump.
Person Lookup
Find detailed background on a person: work history, education, social profiles, contact info.
Usage
Search by Name + Company (Nyne)
orth run nyne /person/search -d '{"query": "FULL_NAME COMPANY"}'NOTE: Nyne searches are async. The POST returns a request_id. Poll with:
orth run nyne /person/search -q request_id=REQUEST_IDRetry every 3-5 seconds until status is complete. Usually takes 5-15 seconds.
Search Tips
- Include company name:
"Dario Amodei Anthropic" - Include title for common names:
"John Smith CTO Acme" - Use LinkedIn URL if available for exact match
Response Fields
- Full name and current title
- Current employer and role
- Work history (previous companies, roles, dates)
- Education (schools, degrees)
- Location
- Social profiles (LinkedIn, Twitter)
- Skills and expertise
Output Format
**[Name]** — [Current Title] @ [Current Company]
Background:
- Previously: [role] @ [company] ([years])
- Education: [school], [degree]
- Location: [city]
Profiles: [LinkedIn], [Twitter]If researching before a meeting, add:
Meeting prep notes:
- [relevant background detail]
- [shared connection or interest]
- [topic to discuss]Error Handling
- Async timeout — if no result after 30 seconds, report partial data
- Multiple results — add company or title to narrow down
- No results — try alternate name spelling, or use Fiber people-search as fallback:
orth run fiber /v1/people-search -d '{"searchParams": {"full_name": "FULL_NAME", "company_names": ["COMPANY"]}}'Related Skills
- meeting-prep — pre-meeting briefings combining person + company + pipeline context
- find-email-by-name — find their email address
- lead-enrichment — full contact enrichment (email + phone + company)
- company-intel — research their company
- exa-people-research — web-based person research via Exa
- sales-qualification — qualify them as a lead
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

