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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.
How this skill is triggered — by the user, by Claude, or both
Slash command
/lockedin:lockedin-render-interviewThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Status: **v1.1 (skeleton)**. Skill scaffold ships with prompts and a
Status: v1.1 (skeleton). Skill scaffold ships with prompts and a minimal rubric. Cross-source calibration of the rubric and a fixture set are v1.2 targets. The skill is functional today; quality will tighten with calibration.
lockedin-render-resume-en.lockedin-render-jaso./lockedin init or by ingesting a resume.Writer turn produces the draft. Reviewer turn re-loads RUBRIC.md
fresh in a separate Claude turn and emits a JSON score. Same as the
other renderers; the split is load-bearing.
A single markdown answer, no headers. STAR (Situation / Task /
Action / Result) by default; PAR (Problem / Action / Result) when
the question is incident-shaped. One experience per paragraph with
explicit transitions, mirroring the policy in
lockedin-render-resume-en and lockedin-render-jaso.
The answer pulls evidence from the vault using slug citation
([[type/slug]]); the slugs are resolved to natural language by
lockedin/render/resolve_slugs.py before the artifact is shown to
the user.
SKILL.md
prompt-writer.md writer-turn instruction
prompt-reviewer.md reviewer-turn instruction (separate Claude turn)
RUBRIC.md 5-dimension scoring contract (calibration v1.2)
The rubric and prompts here are v1.1 foundational. Cross-source calibration (interview-coaching guides, hiring-manager interviews, behavioural interview research) is the v1.2 target. Until then the LLM reviewer turn is self-consistent against the rubric, but the rubric itself has not been validated against an external corpus the way the jaso and resume-en rubrics have.
npx claudepluginhub daypunk/lockedin --plugin lockedinConducts structured behavioral interviews using the STAR method with standardized questions and scoring. Useful during hiring to ask competency-based questions that predict job performance.
Generates customized interview questions from job descriptions and tailored resumes, categorizing by likelihood, gaps, and behavioral competencies, with practice schedules.
Generates structured interview plans with competency-based questions, scorecards, panel assignments, and debrief templates for consistent candidate evaluation.