# explore > Deep-dive into specific candidates or search candidates by criteria. - Author: Byungho Lee - Repository: nantestudio/resume-analyzer - Version: 20260201012943 - Stars: 0 - Forks: 0 - Last Updated: 2026-02-06 - Source: https://github.com/nantestudio/resume-analyzer - Web: https://mule.run/skillshub/@@nantestudio/resume-analyzer~explore:20260201012943 --- --- name: explore description: Deep-dive into specific candidates or search candidates by criteria. --- # /explore — Candidate Deep-Dive Explore individual candidates or search across the candidate pool. ## Two Modes ### Mode 1: Specific Candidate When the user names a candidate or provides an ID: 1. Search `data/index.json` for matching name or ID 2. Read the full `data/candidates/{id}.json` 3. Read the full `data/evaluations/{id}.json` 4. Present a detailed profile: ``` ## 김서연 (c_V1StGXR8) — 94점 🟢 Strong ### 평가 요약 [fitSummary] ### 상세 점수 | 항목 | 점수 | 평가 | |------|------|------| | Claude Code 활용 | 9/10 | Claude Code로 멀티에이전트 시스템 구축 경험 | | 빠른 프로토타이핑 | 8/10 | 3개 PoC 프로젝트, 스타트업 경험 | ... ### 강점 - ... ### 약점 - ... ### 지원 답변 **Q: 왜 함께 일하고 싶나요?** [full answer] **Q: 어떤 업무와 일과로 하루를 보낼 것 같으신가요?** [full answer] ### 이력서 (요약) [first 1000 chars of resumeText] ### 링크 - 이력서: [resumeUrl] - 소셜: [socialMedia] ``` ### Mode 2: Search Query When the user asks a question about candidates: - "스타트업 경험이 있는 사람?" → scan index summaries + read matching candidate files - "Supabase 경험자?" → search resumeText across candidates - "동기 점수가 높은 사람?" → filter evaluations by criteria score - "김서연과 이준호 비교" → load both profiles, present side-by-side For search queries: 1. First scan `data/index.json` for quick matches 2. If needed, read individual candidate/evaluation files for deeper search 3. Present results as a compact list with option to deep-dive ## Important - Always use Korean for output - When comparing candidates, use a side-by-side table format - For resume text, show relevant excerpts, not the full text - If no match found: "해당하는 지원자를 찾지 못했습니다." - If the user just types `/explore` without a query, ask: "어떤 지원자를 살펴볼까요? 이름, ID, 또는 검색어를 입력해주세요."