# Interview Coach

> Full job search coaching system — JD decoding, resume, storybank, mock interviews, transcript analysis, comp negotiation. 23 commands, persistent state.

- Skill: `techwavedev/interview-coach` (Agent Skill)
- Install (CLI): `npx skillmds@latest add techwavedev/interview-coach`
- Raw SKILL.md: https://api.skillmd.com/api/skills/techwavedev/interview-coach/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: techwavedev (https://skillmd.com/u/techwavedev)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/techwavedev/interview-coach

---


# Interview Coach

## Overview

A persistent, adaptive coaching system for the full job search lifecycle.
Not a question bank — an opinionated system that tracks your patterns,
scores your answers, and gets sharper the more you use it. State persists
in `coaching_state.md` across sessions so you always pick up where you left off.

## Install

```bash
npx skills add dbhat93/job-search-os
```

Then type `/coach` → `kickoff`.

## When to Use This Skill

- Use when starting a job search and need a structured system
- Use when preparing for a specific interview (company research, mock, hype)
- Use when you want to analyze a past interview transcript
- Use when negotiating an offer or handling comp questions on recruiter screens
- Use when building or maintaining a storybank of interview-ready stories

## What It Covers

- **JD decoding** — six lenses, fit verdict, recruiter questions to ask
- **Resume + LinkedIn** — ATS audit, bullet rewrites, platform-native optimization
- **Mock interviews** — behavioral, system design, case, panel, technical formats
- **Transcript analysis** — paste from Otter/Zoom/Grain, auto-detected format
- **Storybank** — STAR stories with earned secrets, retrieval drills, portfolio optimization
- **Comp + negotiation** — pre-offer scripting, offer analysis, exact negotiation scripts
- **23 total commands** across the full search lifecycle

## Examples

### Example 1: Start your job search

```
/coach
kickoff
```

The coach asks for your resume, target role, and timeline — then builds
your profile and gives you a prioritized action plan.

### Example 2: Prep for a specific company

```
/coach
prep Stripe Senior PM
```

Runs company research, generates a role-specific prep brief, and queues
up mock interview questions tailored to Stripe's process.

### Example 3: Analyze an interview transcript

```
/coach
analyze
```

Paste a raw transcript from Otter, Zoom, or any tool. The coach
auto-detects the format, scores each answer across five dimensions,
and gives you a drill plan targeting your specific gaps.

### Example 4: Handle a comp question

```
/coach
salary
```

Coaches you through the recruiter screen "what are your salary
expectations?" moment with a defensible range and exact scripts.

## Source

https://github.com/dbhat93/job-search-os

---

<!-- AGI-INTEGRATION-START -->

## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)

### Memory-First Protocol

Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions.

```bash
# Check for prior development context before starting
python3 execution/memory_manager.py auto --query "prior work and patterns related to Interview Coach"
```

### Storing Results

After completing work, store development decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Completed task with key insights documented for future reference" \
  --type decision --project <project> \
  --tags interview-coach default
```

### Multi-Agent Collaboration

Share outcomes with other agents so the team stays aligned and avoids duplicate work.

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Task completed — results documented and shared with team" \
  --project <project>
```

<!-- AGI-INTEGRATION-END -->