HireMate — AI招聘助手

HireMate 面向招聘场景，提供职位描述生成、筛选标准与面试题生成，以及简历加权评分、人岗匹配分析、薪酬市场报告和面试评估报告。功能由本地 Python 脚本实现，可输出 Markdown 或 JSON，并附带 JD 模板、面试题库和薪酬基准等本地参考数据。功能区分免费与高级两档。

keybryant

热度 31.01

最近更新 2026-05-11 17:46:36

分类：效率依赖：代码执行 / 读写文件应用场景：报告撰写 / 市场分析 / 模板 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add hiremate

Metadata

name: hiremate
description: AI recruiting assistant for generating job descriptions, resume screening criteria, interview questions, candidate scoring, match analysis, salary reports, and interview evaluations. Use when the user asks to: create a job description (JD), write a job posting, generate interview questions, screen resumes, evaluate candidates, analyze candidate-job fit, check salary benchmarks/compensation data, create interview scorecards, or build recruiting workflows. Supports both free features (JD generation, screening criteria, interview questions) and premium features (resume scoring, candidate matching, salary reports, interview evaluations). Triggers on phrases like "job description", "JD", "招聘", "interview questions", "screen resume", "candidate match", "salary report", "compensation", "interview evaluation", "hire", "recruit".

HireMate — AI Recruiting Assistant

Complete recruiting toolkit: generate JDs, screen resumes, create interview questions, score candidates, analyze matches, benchmark salaries, and evaluate interviews.

Free Features

Generate Job Description

python3 <skill_dir>/scripts/generate_jd.py \
  --role <role_template> --company <name> --seniority <level> \
  --location <loc> --language <lang> --framework <fw> \
  --industry <ind> --years <n> [--output file.md]

Roles: software_engineer, product_manager, data_scientist, ux_designer, marketing_manager, sales_representative

Generate Screening Criteria

python3 <skill_dir>/scripts/generate_screening_criteria.py \
  --role <role> --years <n> --languages "Py,Go" \
  --frameworks "Django" --industry <ind> [--format json]

Generate Interview Questions

python3 <skill_dir>/scripts/generate_interview_questions.py \
  --role <role> --level <junior|mid|senior|all> \
  --num-tech 5 --num-behavioral 3 [--seed <n> for reproducibility]

Premium Features

Score Resume

python3 <skill_dir>/scripts/score_resume.py \
  --resume "<text>" --keywords skill1 skill2 skill3 \
  --min-years 3 --education <bachelors|masters|phd>

Resume can be text or @file_path. Returns weighted score (keyword 40%, experience 25%, education 15%, tech skills 20%).

Candidate-Job Match Analysis

python3 <skill_dir>/scripts/match_candidate.py \
  --candidate-skills a b c --candidate-years 5 \
  --candidate-edu bachelors --candidate-location "SF" \
  --job-skills a b d --job-min-years 3 \
  --job-role software_engineer --job-seniority mid

Returns skill overlap, experience gap, education match, and salary context.

Salary Market Report

python3 <skill_dir>/scripts/salary_report.py \
  --role <role> --region <us|europe|uk|asia_pacific> \
  --seniority <junior|mid|senior|staff>

Includes regional comparisons and market notes.

Interview Evaluation Report

python3 <skill_dir>/scripts/interview_evaluation.py \
  --candidate "Name" --role "Role" \
  --technical 85 --problem-solving 80 --communication 75 \
  --cultural-fit 90 --experience 80 --learning 85 \
  --strengths "Strong X" "Great Y" \
  --concerns "Needs Z"

Weighted scoring: technical 30%, problem-solving 20%, communication 15%, cultural fit 15%, experience 10%, learning 10%.

Reference Data

references/jd_templates.json — JD templates for 6 role types
references/interview_questions_db.json — 50+ questions across 6 categories
references/salary_data.json — Global salary benchmarks (US, EU, UK, APAC)

Usage Notes

All scripts support --format markdown (default) and --format json
Use --output file.md to save to file instead of stdout
Use --seed for reproducible interview question sets
Salary data should be updated quarterly with latest market data
For roles not in templates, use the AI to generate custom JDs based on the template structure