# noamseg/interview-coach-skill

Repository: https://github.com/noamseg/interview-coach-skill
Canonical: https://ross.abutalabs.com/products/interview-coach-skill
License: MIT
License Family: permissive
Last push: 2026-05-29T20:32:20+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 35, longevity 15
- inputs: {"age_days": 215, "days_push": 96, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2018, forks 338 (observed 2026-08-28T04:06:05.538576+00:00)

## What it is
A Claude Code skill/plugin that acts as an adaptive job interview coach, covering the full job search lifecycle from JD analysis and resume optimization through mock interviews to offer negotiation. It provides 23 slash commands for scoring answers across five dimensions, diagnosing weaknesses, building a retrievable storybank, and running multi-format mock interview practice.

## Use cases
- practice behavioral interview questions with feedback
- prepare for system design interviews
- analyze interview transcripts to find weaknesses
- build a STAR story bank for interviews
- optimize my resume for a job description
- negotiate a job offer salary
- run a mock panel interview
- get coaching on why my interview answers feel weak

## When to choose
- You use Claude Code and want structured, adaptive interview coaching rather than a static question bank
- You want answer scoring, root-cause diagnosis, and targeted drills across behavioral, system design, case, and panel formats
- You need transcript analysis from tools like Otter, Zoom, or Teams plus storybank and negotiation support

## When to avoid
- You don't use Claude Code or an LLM-powered CLI environment
- You want a simple standalone question bank or flashcard app without adaptive coaching
- You need a fully automated service rather than an interactive, prompt-driven workflow

## Facets
- artifact type: plugin
- maturity: active
- function: chatbot, prompt-engineering, nlp, workflow-automation
- domain: artificial-intelligence, developer-tools, education, hr
- platform: cli, editor-plugin, cross-platform
- tags: claude-code, interview-preparation, career-coaching, mock-interviews, resume-optimization, salary-negotiation, skill, star-method, storybank, transcript-analysis, ai-agents

## Member repositories
- noamseg/interview-coach-skill (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:05.538576+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:00:28.513272+00:00, confidence not recorded.
  - readme: https://github.com/noamseg/interview-coach-skill (fetched 2026-08-28T04:06:05.538576+00:00, sha 66fe4f879b7b)
- Data as of 2026-08-30T08:39:29.467469+00:00.