Interview Coach

A Claude Code-based interview coach that guides you through your entire job search — from first resume review to post-offer negotiation. It scores your answers across five dimensions, diagnoses root causes behind weak spots, builds a storybank you can retrieve under pressure, and adapts its coaching to your specific patterns. Not a generic question bank. An adaptive system that gets sharper the more you use it.

Say kickoff, share your resume, and you're being coached in under 2 minutes.

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What It Does

Scoring and diagnosis — Every answer scored on Substance, Structure, Relevance, Credibility, and Differentiation, calibrated to your seniority. Scores map to root causes (status anxiety, narrative hoarding, conflict avoidance) with targeted fixes, not just "do better."

Adaptive coaching — After scoring, a decision tree triages your bottleneck and branches to the right drill. If Relevance is your gap, you get question-decoding practice. If Substance, you build raw material. The system doesn't cycle through the same sequence for every candidate.

Multi-format transcript analysis — Paste raw transcripts from Otter, Zoom, Grain, Google Meet, Teams, Tactiq, Granola, or any other tool. The system auto-detects the format and normalizes it. Analysis adapts to interview type: behavioral interviews get Q&A parsing, system design gets phase-based analysis (scoping, approach, deep-dive, tradeoff, adaptation), panel interviews track cross-interviewer dynamics, and mixed formats handle mode-switching between technical and behavioral segments. Each format gets its own anti-pattern detection and additional scoring dimensions.

Storybank with portfolio optimization — Structured story management with full STAR text, earned secrets, strength ratings, and rapid-retrieval drills. Story-to-question mapping uses a 4-level fit scoring system (Strong Fit, Workable, Stretch, Gap) with portfolio optimization that resolves conflicts when multiple questions compete for the same story, tracks freshness and overuse, and prioritizes stories with strong earned secrets. Narrative identity extraction finds the 2-3 core themes across your stories so every answer reinforces a coherent thesis about who you are.

Practice and mocks — 8-stage drill progression (constraint ladders, pushback handling, pivot drills, panel simulations, stress tests) plus full 4-6 question mock interviews in behavioral, system design, case study, panel, and technical+behavioral formats. Every round includes the interviewer's perspective — what they were actually thinking when you spoke. Role-drill scores map to core dimensions so specialized practice feeds into overall trend analysis. At Directness Level 5: expanded interviewer inner monologue, challenge notes on rounds 3+, and optional warmup skip.

Outcome calibration — The system tracks whether its practice scores actually predict real interview outcomes. After 3+ real interviews, it runs scoring drift detection, identifies when external feedback contradicts coach scoring, and recalibrates. Cross-dimension root causes (like "conflict avoidance" affecting both Substance and Differentiation) get unified treatment instead of separate drills. The system also learns from successes — tracking which stories, dimensions, and patterns correlate with advancement.

Role-fit assessment — Structured evaluation of candidate-role fit across five dimensions (requirement coverage, seniority alignment, domain relevance, competency overlap, trajectory coherence). Distinguishes strong fits from investable stretches and long shots, so candidates focus their energy on roles where they're competitive. Over time, rejection patterns reveal targeting insights that no amount of practice can fix.

Enhanced company intelligence — Three research depth levels (Quick Scan, Standard, Deep Dive) with a structured search protocol and claim verification. Every company-specific claim maps to a source tier (verified, general knowledge, or unknown). Prep briefs include targeted web research before applying company knowledge, with source attribution for every finding.

Interview lifecycle — Company research, role-specific prep briefs with interviewer intelligence, same-day post-interview debrief, outcome tracking that correlates practice scores with real results, and post-offer negotiation coaching with exact scripts.

Interview intelligence — The system learns from your real interview experiences. Every transcript, debrief, and recruiter feedback adds to a personalized knowledge base: question patterns across companies, what works and what doesn't for you specifically, and feedback-outcome correlations. Intelligence data has temporal decay — stale data is flagged, not silently relied on.

Session continuity — A persistent coaching_state.md file tracks your storybank, scores, patterns, drill progression, interview loops, interview intelligence, and calibration state across sessions. Pick up where you left off, weeks later. Saves are automatic.

Challenge protocol (Directness Level 5) — At the highest directness setting, the coach actively challenges you through five lenses: Assumption Audit, Blind Spot Scan, Pre-Mortem, Devil's Advocate, and Strengthening Path. Stories get red-teamed after you add or improve them. Transcripts get challenged. Practice rounds 3+ include a rotating challenge note. Progress reports include a Hard Truth section. Hype includes a pre-mortem before interviews. Rejections get mined for leverage. The system also detects avoidance patterns — if you keep steering away from a weakness, it names it directly. Every challenge ends with a concrete fix. Levels 1-4 are completely unaffected.

Guided flow — The coach recommends a specific next step after every command based on your coaching state — not a generic menu. When you say something like "prepare me for my interview at Google," it detects the multi-step intent and walks you through the full sequence (research, prep, concerns, hype) with natural transitions. Session start greetings include a prescriptive recommendation for the highest-leverage move right now.

Differentiation — Earned secrets and spiky POVs are a first-class dimension, not an afterthought. The system pushes you past "competent" toward "memorable."

Self-awareness — Tracks the gap between your self-assessment and actual coach scores. Knows if you're an over-rater or under-rater, and adjusts coaching accordingly.

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Quick Start

Option 1: Open in Claude Code on Desktop (recommended)

The simplest path. Open this repo directly from Claude Code on Desktop:

1. Clone the repo:

git clone https://github.com/noamseg/interview-coach-skill.git
cd interview-coach-skill

Or download it as a ZIP and unzip.

2. Activate the coach by renaming the skill file:

mv SKILL.md CLAUDE.md

3. Open the folder in Claude Code on Desktop and say kickoff.

The coach will ask for your resume, target role, and timeline — then build your profile, assess your starting point, and give you a prioritized action plan. Everything saves automatically to coaching_state.md so you pick up where you left off next session.

Also works with: Claude Code (terminal), Cursor, or any environment with file system access.

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Commands

Command	Purpose	Typical Output
kickoff	Setup profile, track, and preferences	Kickoff summary + time-aware action plan
research [company]	Company research + structured fit assessment (3 depth levels)	Company snapshot, culture signals, fit assessment, claim-verified findings
prep [company]	Build role-specific prep brief (format-aware, culture-aware, role-fit assessment)	Format guidance, culture read, role-fit assessment, interviewer intelligence, competencies, predicted Qs, story mapping
analyze	Analyze transcript with format-aware parsing, triage-based coaching, and interviewer's inner monologue. At Level 5: includes structured challenge	Auto-detected format, per-unit scoring (Q&A/phases/exchanges), format-specific dimensions, decision tree + interview delta
debrief	Post-interview rapid capture (same day)	Questions recalled, interviewer signals, stories used, coaching state updates
practice	Run drill rounds (with progression gating). At Level 5: challenge notes, expanded interviewer read, optional warmup skip	Round debrief + self-assessment delta + targeted adjustment
mock [format]	Full simulated interview (4-6 Qs) — behavioral screen, deep behavioral, panel, bar raiser, system design/case study, technical+behavioral mix	Holistic arc feedback, signal-reading notes, energy trajectory
stories	Build/manage storybank + rapid-retrieval drill. At Level 5: stories get red-teamed with 5 challenge lenses	Story table + earned secrets + gap analysis + retrieval drill
concerns	Anticipate interviewer concerns	Concern-counter-evidence map
questions	Generate interviewer questions	5 tailored, non-generic questions
hype	Pre-interview confidence + psychological warmup. At Level 5: includes a pre-mortem with failure prevention	60-second reel + 3x3 sheet + focus cue + recovery playbook
thankyou	Post-interview follow-up drafts	Thank-you note + variants
progress	Trends, self-calibration, outcome tracking, scoring calibration. At Level 5: includes a Hard Truth section	Self-assessment delta + outcome correlation + scoring drift detection + root cause tracking + coaching meta-check
negotiate	Post-offer negotiation coaching	Offer analysis + strategy + scripts + specific language
feedback	Capture recruiter feedback, outcomes, corrections, context, or coaching meta-feedback. At Level 5: rejections include structured leverage extraction	State updates + next step suggestion
reflect	Post-search retrospective + archive	Journey arc, breakthroughs, transferable skills, archived state
help	Show command menu (context-aware)	Full command list + recommended next based on coaching state

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Fast Workflow Examples

1) Initial setup

kickoff

Expected output:

• Track selected (Quick Prep or Full System)
• Profile snapshot (strength signals and concern areas)
• Interview readiness assessment
• Time-aware action plan (adjusted to your interview timeline)

2) Company research (before committing to prep)

research Notion

Expected output:

• Company snapshot (stage, size, culture signals — claim-verified with source tiers)
• Fit assessment against your profile
• "If you decide to apply" next steps

For high-priority targets, mention you want a deep dive: "Do a deep dive on Notion" — gets you employee posts, product reviews, competitor analysis, and leadership profiles on top of the standard research.

3) Before an interview

prep Stripe

Then provide:

• Job description
• Role/seniority
• Optional interviewer LinkedIn URLs (for per-interviewer intelligence)

Expected output:

• Interview Format (with format-specific coaching boundaries)
• Company Culture Read
• Interviewer Intelligence (if profile links provided — per-interviewer lens, focus areas, rapport hooks, story recommendations)
• What They Optimize For
• Your Best Positioning
• Likely Concerns + Counters
• Predicted Questions (7-10)
• Story Mapping
• Questions To Ask Them
• Day-Of Cheat Sheet

4) Right after an interview

debrief

Rapid capture while details are fresh — works with or without a transcript. Get:

• Questions recalled and reconstructed answers
• Interviewer signals observed (engagement, skepticism, interest)
• Stories used (auto-updates storybank Last Used dates)
• Coaching state updated for the next session

5) Analyzing a transcript

analyze

Then paste raw transcript text from any tool (Otter, Zoom, Grain, Teams, etc.). The system auto-detects the format and normalizes it.

Expected output:

• Format detection and normalization
• Per-unit score blocks (Q# for behavioral, P# for system design phases, E# for panel exchanges)
• Scorecard
• Triage Decision (data-driven coaching path based on your patterns)
• What Is Working
• Top 3 Gaps To Close
• Storybank Changes
• Priority Move (Next 72 Hours)

6) Drill practice

practice

Drills (in progression order — advance when you meet gating thresholds):

• practice ladder — Constraint drills (30s, 60s, 90s, 3min)
• practice pushback — Handle skepticism and interruption
• practice pivot — Redirect when questions don't match prep
• practice gap — Handle "I don't have an example" moments
• practice role — Role-specific specialist scrutiny
• practice panel — Multiple interviewer personas
• practice stress — High-pressure simulation
• practice technical — Thinking out loud, clarification-seeking, tradeoff articulation (system design / case study / mixed format only)

Standalone (not gated):

• practice retrieval — Rapid-fire story matching under time pressure

Expected output each round:

• Round Debrief
• What Worked
• Gaps
• Scorecard (5 dimensions)
• Self-Assessment Delta
• Next Round Adjustment

7) Full mock interview

mock behavioral Stripe

Runs a complete 4-6 question interview simulation. Formats: behavioral screen, deep behavioral, panel, bar raiser, system design/case study, technical+behavioral mix. Holistic feedback on:

• Overall impression and hiring signal
• Energy trajectory and pacing across the full arc
• Story diversity and selection quality
• Signal-reading (did you adapt to interviewer cues?)
• Per-question scoring + holistic patterns only visible across the full session

8) Post-offer negotiation

negotiate

Then provide offer details, competing offers, and ideal outcome. Get:

• Market position analysis
• Negotiation strategy with priority ordering
• Exact scripts for the conversation
• Fallback language for pushback

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Tracks

Quick Prep

Best when interview timeline is short.

• Company research
• Prep brief
• Focused transcript analysis
• Immediate next actions

Full System

Best when running a multi-week search.

• Storybank management with rapid-retrieval drills and portfolio-optimized story mapping
• Multi-format transcript analysis (behavioral, system design, panel, mixed) with decision tree triage
• Pattern and trend tracking with self-assessment calibration
• Differentiation coaching integrated into all workflows
• Full mock interview simulations (behavioral, system design, case study, panel, technical+behavioral mix)
• Drill progression with gating thresholds (8 stages + standalone retrieval)
• Post-interview debrief and rapid capture
• Outcome tracking (correlate practice with real results) with scoring calibration (drift detection, recalibration)
• Interview intelligence — learns question patterns, what works/doesn't, and company-specific insights from your real interviews, with temporal decay on stale data
• Interview loop awareness across company rounds
• Post-offer negotiation coaching
• Post-search retrospective and archiving

Choose during kickoff. You can switch later.

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Repository Structure

interview-coach-skill/
├── SKILL.md                            # Core skill — rename to CLAUDE.md to activate
├── README.md                           # This file
├── LICENSE                             # MIT License
├── coaching_state.md                   # Created on first kickoff (persistent memory, auto-saved)
└── references/
    ├── commands/                       # Per-command workflows (loaded on demand)
    │   ├── kickoff.md
    │   ├── research.md
    │   ├── prep.md
    │   ├── analyze.md
    │   ├── debrief.md
    │   ├── practice.md
    │   ├── mock.md
    │   ├── stories.md
    │   ├── concerns.md
    │   ├── questions.md
    │   ├── hype.md
    │   ├── thankyou.md
    │   ├── progress.md
    │   ├── negotiate.md
    │   ├── feedback.md
    │   ├── reflect.md
    │   └── help.md
    ├── cross-cutting.md                # Shared modules: gap-handling, signal-reading, differentiation, cultural awareness, psychological readiness, cross-command dependencies
    ├── rubrics-detailed.md             # Scoring anchors, root causes, seniority calibration
    ├── role-drills.md                  # Role-specific drills + interviewer archetypes
    ├── differentiation.md              # Earned secrets, spiky POVs, clarity under pressure
    ├── transcript-processing.md        # Step-by-step transcript analysis guide (format-aware parsing)
    ├── transcript-formats.md           # Format detection + per-format normalization (Otter, Zoom, Grain, etc.)
    ├── storybank-guide.md              # Story management + rapid-retrieval drill
    ├── story-mapping-engine.md         # Portfolio-optimized story mapping with fit scoring
    ├── calibration-engine.md           # Scoring drift detection, root cause tracking, success patterns
    ├── challenge-protocol.md           # Five-lens challenge framework (Level 5 only): assumption audit, blind spot scan, pre-mortem, devil's advocate, strengthening path
    └── examples.md                     # Worked examples: scored answers, triage, rewrites, system design analysis

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Best Results

1. Share a real resume (not a high-level summary).
2. Include a full job description for prep — and the interview format if you know it.
3. Use real transcripts for analyze. The more you give it, the better the triage.
4. Keep a living storybank with stories. Extract earned secrets for every story.
5. Run progress weekly — it tracks your self-assessment accuracy, not just scores.
6. After real interviews, log outcomes. The system correlates practice scores with real results.
7. When you hear back from a recruiter — good or bad — run feedback to capture it. The system learns from your real experiences over time.
8. Run mock before important interviews. Individual drills build skills; mocks test the full arc.
9. Use debrief the same day as a real interview — capture signals while they're fresh.

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FAQ

How is this different from asking ChatGPT for interview help? Generic LLM interview help gives you the same advice regardless of your patterns. This system scores you on five dimensions, tracks your scores over time, diagnoses root causes behind weak spots, builds a storybank with retrieval drills, and adapts its coaching based on what the data reveals. It remembers your previous sessions, knows which stories you've already used at a company, and changes its approach when something isn't working. It's the difference between a textbook and a coach.

Does this only work for tech roles? No. Core workflows are role-agnostic; role drills include PM, Engineering, Design, Data Science, Research, Operations, and Marketing.

Why is the feedback direct? The skill is intentionally high-candor and evidence-based. It uses strengths-first delivery and self-reflection before critique. It also periodically checks whether the coaching is landing and adapts if not. You can set your feedback directness level (1-5) during kickoff. At Level 5, the Challenge Protocol activates: stories get red-teamed, progress includes a Hard Truth, rejections get mined for leverage, and avoidance patterns are named directly. Levels 1-4 are gentler — same rigor, softer delivery.

How does it work across multiple sessions? The skill writes a coaching_state.md file that tracks your storybank, scores, patterns, drill progression, interview outcomes, interview loops, and more. At the start of each session, it reads this file and picks up where you left off. Saves happen automatically after every major workflow — not just at session end.

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Contributing

Open an issue or PR with:

• Repro steps
• Current behavior
• Expected behavior
• Suggested fix (optional)

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Credits

Created by Noam Segal.

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License

MIT