review-resume

Name: review-resume
Availability: InStock
Author: toongri

Diagnose resume content for technical depth, impact, and structure.

25|1|Updated Jan 14, 2026

Search Tags:#quality-gate #technical-evaluation #jd-matching #resume-review #p-a-r #ai-tone-audit

Ready to run

npx skills add https://github.com/toongri/oh-my-toong-playground --skill review-resume-toongri

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-resume
Source: https://github.com/toongri/oh-my-toong-playground/tree/main/skills/review-resume
Command: npx skills add https://github.com/toongri/oh-my-toong-playground --skill review-resume-toongri

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms scattered or AI-sounding resume claims into interview-ready narratives by applying structured self-introduction, career, and problem-solving evaluations plus examiner-grade quality gates.

Core Features & Use Cases

Holistic Evaluation Flow: Runs the 10-phase review pipeline that checks Type A-D intros, C1-C5 competencies, D1-D6/6 criteria, P.A.R., JD matching, and AI tone auditing.
Quality Gate & Alternates: Generates 2-3 corrective alternatives per bullet with trade-offs, drives tech-claim-examiner loops, and records APPROVE/REQUEST_CHANGES verdicts with opt-out handling.
Strategic Delivery: Compiles findings into an HTML report with P-level stats, inline feedback markup, and tactical options plus note accumulation for future reviews.

Quick Start

Ask the skill to review the attached resume, run the multi-phase evaluation, and generate the HTML report plus strategic options.

Frequently Asked Questions about review-resume

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I review a resume for technical depth before an engineering interview?▼

AI tone auditing detects generic, AI-sounding resume claims by evaluating language patterns and structure. It flags bullet points lacking authentic technical depth, ensuring your career narratives sound genuine and pass examiner-grade quality gate loops before submission.

What is JD keyword matching for a resume?▼

JD keyword matching aligns your resume content with job description requirements by analyzing technical keywords and competencies. It evaluates how well your career narratives and problem-solving sections satisfy specific role demands before high-stakes job applications.

How do I fix resume bullet points that lack impact?▼

Fix low-impact resume bullets by generating 2-3 corrective alternatives with explicit trade-offs for each point. The quality gate process verifies technical claims, drives examiner loops, and records APPROVE or REQUEST_CHANGES verdicts to refine problem-solving narratives.

Can I get a structured report after evaluating my resume?▼

Generate a structured HTML report after evaluating your resume to visualize P-level statistics and inline feedback markup. The report compiles tactical options and accumulates notes from the quality gate review for future application preparation.

Does resume review work for high-stakes software engineering applications?▼

Resume review is designed for high-stakes software engineering applications, evaluating technical claims and structure using D1-D6 criteria. It transforms scattered career details into interview-ready narratives tailored for demanding engineering roles.