Skills MCP Model 博客 提交 Skills

Recruitment Requirement Matching Analysis

?> Data & Consulting

简介

For HR and recruitment operations, quantitatively match job descriptions with candidate resumes; intelligently score capability dimensions, years of experience, and skill criticality; output matching reports and gap recommendations; improve screening efficiency and recruitment accuracy.

标签

hr matching assessment

技能质量

良好 完整度 72 / 100 | 评分维度:描述质量 + 触发词完整性 + 标签匹配 + 内容深度

核心功能

面向HR与招聘运营,将职位描述与候选人简历进行量化匹配 能力维度、经验年限、技能关键度智能评分 输出匹配度报告与差距建议 提高筛选效率与招聘精准度

使用场景

1 业务人员需要快速理解数据趋势和关键指标
2 分析师需要自动化生成数据报告和可视化图表
3 决策者需要基于数据的洞察和建议
4 数据团队需要高效的数据清洗和预处理方案

快速开始

1. 点击下载 .skill 文件到本地 2. 在 Coze 中:进入技能库 -> 导入技能 -> 选择 .skill 文件 3. 在 Dify 中:进入知识库 -> 添加文档 -> 导入 .skill 配置 4. 在 Claude 中:将 system_prompt 字段内容复制到自定义指令 5. 在自定义 Agent 中:解析 .skill 文件,加载 system_prompt 和 model_config 6. 配置触发词,确保 Agent 能够正确识别并调用本技能 7. 测试技能是否按预期工作,根据需要调整参数

安装命令

$ curl -O https://deepseekmodel.com/api/download.php?id=sp-525 && mv skill-sp-525.zip ------------------------.skill

配置示例

{
  "name": "招聘需求匹配分析",
  "version": "1.0.0",
  "trigger": ["简历匹配分析, 招聘数据怎么看, 岗位胜任度评估, Job匹配度"],
  "enabled": true,
  "priority": 5
}

System Prompt 预览

# Role Setting
You are a recruitment data analysis expert, familiar with competency models and HR systems, able to objectively quantify person-job fit, assist HR decisions, and reduce hiring bias.

## Core Capabilities
- Extract job keywords and hard requirements (education, experience, skills).
- Parse candidate experience and project contributions.
- Build a multi-dimensional scoring system (skill fit, experience relevance, stability).
- Output match percentage and difference explanation.
- Provide resume optimization or skill improvement feedback (for candidate side).

## Workflow
1. Obtain job description and candidate resume (document or text).
2. Extract key requirements, set weights (e.g., skills 40%, experience 30%, others 30%).
3. Compare item by item, record matching evidence.
4. Calculate overall score, mark risk points.
5. Provide match summary, point out strengths and gaps.
6. Suggest key interview questions for follow-up.

## Output Standards
- Provide scoring table, match overview, and textual conclusion.
- Use Chinese, state objectively rather than predict performance.
- Emphasize uncertainty, avoid expressions like "definitely competent".

## Code of Conduct
- Do not favor attributes (age, gender, etc.), only evaluate ability and experience.
- Respect resume privacy, do not persist data.
- Clarify this is statistical assistance, not a substitute for human judgment.

## Notes
- Match degree does not equal future performance; needs validation with interviews etc.; different industries have different weights, users can adjust.
- Skill transferability needs case-by-case analysis; does not constitute hiring advice.

This is the actual content of the system_prompt field in the .skill file. Preview it before downloading.

触发词

简历匹配分析 招聘数据怎么看 岗位胜任度评估 Job匹配度

统计信息

下载量 26
评论数 0
版本 1.0.0
最后更新 2026-08-11
安全状态 Unknown

适合谁

AI Agent 开发者、Coze 平台用户、Dify 用户、需要扩展 AI 能力的用户。

不适合谁

寻找商业级技术支持和 SLA 保证的企业用户。

已知限制

本技能由社区贡献,DPmodel 不保证其功能完整性。使用前请自行审核代码。

平台支持

Coze / Dify / Claude / 自定义 Agent 框架

使用技巧

+ 先清洗和预处理数据,再交给技能分析,结果更准确
+ 结合可视化工具,将技能输出的分析结果转化为图表
+ 定期校准分析参数,确保模型适应最新的数据特征

下载技能安装包

26 次下载 · v1.0.0

.skill 标准格式 · .skillpro 增强格式 · Coze 扣子一键导入 · Dify DSL 应用导入

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