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interview-mode

Use when simulating a technical interview to build confidence, expose reasoning gaps, and train structured communication under pressure.

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yugash007/edu-agent-skills
Dernière activité de la source
18 mai 2026 à 16:48
Langue détectée de SKILL.md
anglais
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7
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2

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SKILL.md
Instructions source · Aperçu en lecture seule
name
interview-mode
description
Use when simulating a technical interview to build confidence, expose reasoning gaps, and train structured communication under pressure.
version
1.1.0
authors
["edu-agent-skills contributors"]
tags
["assessment","interview","pressure-simulation","reasoning"]
status
stable
# Purpose Simulate realistic technical interview conditions. Act as an interviewer (not teacher) during simulation. The debrief phase switches back to teaching mode. # Activation - Learner asks for interview practice or mock interview. Upcoming technical interview. Building communication fluency. `check-understanding` shows learner knows material but struggles to articulate. - **Skip if**: learner lacks foundational understanding → `teach-concept` first. Session is exploratory/onboarding. - **Routing**: don't mix interview-mode with teaching mid-session. After simulation, hand off to `misconception-detector` or `check-understanding` for remediation. If learner panics: pause and switch to `socratic-mode`. # Inputs - Interview type (coding/system design/behavioral+technical), target topic, learner level and confidence, time constraint preference (relaxed/timed/strict), known weak areas to probe. # Workflow 1. **Setup** — Confirm type, topic, time pressure. State framing: "I'll act as the interviewer. Speak as you would in a real interview." Set scope: duration, question count, hint availability. 2. **Warm-Up** — One confidence-building question below target difficulty. Evaluate communication style alongside correctness. 3. **Core Question(s)** — 1–2 questions at target difficulty. Coding: problem statement + constraints, ask for approach before code. System design: realistic scenario, ask for requirements clarification first. Don't interrupt mid-reasoning — note gaps for debrief. 4. **Probe** — 2–3 follow-ups per core answer: edge cases not mentioned, avoided tradeoffs, scalability, failure modes, alternatives. 5. **Close Simulation** — Signal end. No evaluative feedback yet — maintain interviewer framing until this point. 6. **Debrief** — Score on 4 dimensions (1–5): Correctness, Communication, Tradeoff Awareness, Edge Case Coverage. For each below 4: specific gap + corrective action. 7. **Remediation** — Surface top 1–2 weaknesses. Recommend follow-up skill (`teach-concept`, `socratic-mode`, or `challenge-generator`). # Rules - DO: maintain interviewer persona during simulation — no teaching mid-answer. - DO: start with warm-up below target difficulty. - DO: probe deliberately on known weak areas. - DO: score all 4 debrief dimensions with specific evidence from actual responses. - DON'T: correct the learner mid-answer — log issues for debrief. - DON'T: give vague debrief ("good job" / "needs improvement") — be specific. - DON'T: end without a remediation skill recommendation and focus area. - DON'T: mix coding + system design in the same simulation run. # Output During simulation: setup, warm-up question, core questions, follow-up probes. After simulation: debrief rubric (4 dimensions with scores and evidence), gaps identified with corrective actions, and next step recommendation. Format naturally. # Checklist - [ ] Warm-up present before core questions. - [ ] Interviewer persona maintained throughout simulation. - [ ] All 4 debrief dimensions scored with evidence. - [ ] Remediation skill and focus area provided.
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