lockedin

One-time setup wizard for lockedin. Walks the user through: (1) wiring the HUD into Claude Code's statusLine, (2) default Q&A interview language, (3) vault path. Every choice is reversible. Safe to re-run; idempotent. Use when the user says any of: "/lockedin:setup", "setup lockedin", "lockedin 설정", "lockedin 설정해줘", "configure lockedin", "wire lockedin HUD".

Generate new project ideas, side-project pitches, or career-move proposals from the LockedIn vault. The skill walks the user's past work, identifies under-exploited combinations of skills and domains, and proposes concrete next moves with a one-paragraph rationale grounded in the user's actual experience. Two-turn writer/reviewer pattern; reviewer scores feasibility, novelty, evidence ground, scope match, and motivation alignment. Use when the user says any of <!-- ko-example -->"what should I work on next", "ideas for side projects", "새 프로젝트 아이디어", "next move", "career pivot ideas", "흥미로운 조합"<!-- /ko-example -->, or asks for proposals derived from their own experience. Output: 3 to 5 ideas in markdown, each one paragraph long with cited entities resolved to natural language, plus a JSON rubric score for the set.

Draft an interview answer from the LockedIn vault, in English or Korean. Uses the same two-turn writer/reviewer pattern as the resume and cover letter renderers. The user asks an interview question (behavioural, technical, or background); the writer turn pulls evidence from the vault and drafts a STAR-shaped answer; the reviewer turn checks it against a small rubric (clarity, evidence density, persona fit, conciseness, tone) before the final answer is shown. Use when the user says any of <!-- ko-example -->"interview answer", "면접 답변", "STAR 답변", "behavioral question", "tell me about a time…"<!-- /ko-example -->, or names a question and asks for an answer drawn from their experience. Output: a single answer in markdown, with cited entities resolved to natural language, plus a JSON rubric score.

Render a Korean 자기소개서 from the lockedin ontology, in 두괄식 + STAR/PAR structure, with banned-phrase filtering and self-evaluation against a 5-dimension rubric. Two-turn writer/reviewer pattern emits a JSON score so the user knows if the draft is ready to submit. Use when the user says: "자소서", "자기소개서", "render jaso", "회사 X 자소서 N번 문항", "지원동기 써줘", "성장과정 써줘", "입사 후 포부", or names a Korean company plus a 자소서 question. Input: company name, question id or text, optional 직무. Output: a Korean cover letter quoting concrete ontology slugs plus a JSON rubric score.

Render an English resume from the lockedin ontology — metric-first bullets in XYZ or CAR shape ("Accomplished X as measured by Y by doing Z" / Challenge-Action-Result), target persona (us-tech-senior / us-tech-mid / pm-product). Two-turn writer/reviewer pattern with a JSON rubric (≥80% metric density floor, action-verb diversity, no weak verbs). Use when the user says: "render resume", "make a resume", "us-tech-senior resume", "resume for [target]", "polish my resume". Output: a markdown resume quoting concrete ontology slugs plus a JSON rubric score.

Personal experience knowledge graph for Claude Code. Build and grow a markdown ontology from Q&A interviews and document ingestion (PDF, DOCX, MD, TXT), then render English resumes, Korean cover letters, and meeting notes from the same vault. Runs entirely on the user's Claude Code subscription — never calls the Anthropic API directly. Activate when the user mentions lockedin by name, asks to set up or update a personal career / experience graph, asks to render a resume / cover letter / meeting note from their own experience, drops a resume PDF or DOCX with a request to absorb it, or queries their own experience ("what projects used Rust?", "which roles taught me X"). Do NOT activate for unrelated coding, code review, or general questions.