interview-coach
Full job search coaching system — JD decoding, resume, storybank, mock interviews, transcript analysis, comp negotiation. 23 commands, persistent state.
Install
npx skills add https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/interview-coach
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install sickn33-agentic-awesome-skills@llmmart
git clone https://github.com/sickn33/agentic-awesome-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole sickn33/agentic-awesome-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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
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
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Files (agentic-awesome-skills)
-
SKILL.md 3 KB
--- name: interview-coach description: "Full job search coaching system — JD decoding, resume, storybank, mock interviews, transcript analysis, comp negotiation. 23 commands, persistent state." category: productivity risk: safe source: community date_added: "2026-03-11" author: dbhat93 tags: [interview, job-search, coaching, career, storybank, negotiation] tools: [claude] --- # 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 ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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