Talent Search Skill
Description
Agent Skill for AI & quant talent sourcing — four-channel search (papers/GitHub/teams/community), cross-verified candidate lists in Excel, persistent candidate library, weekly talent radar. Works with Claude Code, WorkBuddy & any SKILL.md host.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
talent-search-skill
An Agent Skill for end-to-end **AI / quant talent sourcing** — input a candidate persona or JD, get back a cross-verified **Excel candidate list** plus a full **search log**.
Works with Claude Code, WorkBuddy, and any AI Agent host that follows the `SKILL.md` spec.
   

Why use it
- Four-channel parallel search — academia (papers / labs / competitions), GitHub (open-source contributors), company (team pages / tech blogs), community (public pages on Zhihu, LinkedIn, Maimai). All four channels fire at once.
- Cross-verification discipline — every candidate goes through at least one round of primary-source verification (single-pass, mandatory). For critical roles you can switch on five-pass verification — five independent dimensions (academia, GitHub, professional platforms, company primary sources, personal homepage) corroborate each other; conflicts defer to primary sources.
- Better empty than fabricated — anything not backed by primary sources is marked "to be verified / not obtained". No fabrication. Every key fact is traceable to a source URL in the search log.
- Zero-dependency Excel output — built-in
gen_excel.mjs(Node ≥ 18, no third-party packages) writes a fixed 9-column sheet: name / education / internships-and-jobs / personal homepage / GitHub / first-author papers / university-lab experience / match highlights / notes (CV and contact). - A candidate library that grows with you — every round's results land in
talent-research/_db/candidates.jsonl. The n
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