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Install in OpenClaw
/install 51mee-resume-match
Description
人岗匹配。触发场景:用户要求匹配简历和职位;用户问这个候选人适合这个职位吗;用户要筛选最匹配的候选人。
README (SKILL.md)
人岗匹配技能
功能说明
评估候选人与职位的匹配程度,生成匹配度评分和分维度分析。
API 调用
接口地址: https://openapi.51mee.com/api/v1/parse/match
请求方式: POST (multipart/form-data)
参数:
file: 简历文件(必填)jd_text: 职位描述文本(必填)
调用命令:
curl -X POST "https://openapi.51mee.com/api/v1/parse/match" \
-F "file=@候选人简历.pdf" \
-F "jd_text=岗位职责:\
1. 负责系统架构设计\
\
任职要求:\
- 5年以上Java开发经验\
- 熟悉Spring Boot"
返回数据结构
{
"code": 0,
"message": "success",
"data": {
"overall_score": 85,
"overall_level": "良好",
"star_rating": 4,
"dimensions": {
"skill_match": {
"score": 90,
"level": "优秀",
"matched_skills": ["Java", "Spring Boot", "MySQL"],
"missing_skills": ["Docker", "K8s"],
"details": "核心技能完全匹配"
},
"experience_match": {
"score": 85,
"level": "良好",
"required_years": 5,
"actual_years": 6,
"industry_match": true,
"details": "经验年限符合要求"
},
"education_match": {
"score": 95,
"level": "优秀",
"required": "本科",
"actual": "本科",
"details": "学历符合要求"
},
"salary_match": {
"score": 70,
"level": "一般",
"budget_range": "20K-25K",
"expected_range": "25K-30K",
"details": "期望薪资略高于预算"
}
},
"advantages": [
"技术栈高度匹配,Java/Spring/MySQL 都有实战经验",
"有大型项目经验,处理过高并发场景",
"职业发展路径清晰,稳定性好"
],
"gaps": [
"缺少容器化经验(Docker/K8s)",
"期望薪资 25K,略高于预算 20K"
],
"risks": [
"最近一份工作时间较短(8个月)"
],
"interview_suggestions": [
"重点考察高并发项目细节",
"了解跳槽原因",
"评估容器化技术学习能力"
],
"recommendation": {
"should_interview": true,
"confidence": 85,
"reason": "综合素质优秀,技术匹配度高,值得深入沟通"
}
}
}
匹配维度说明
| 维度 | 字段 | 权重 | 说明 |
|---|---|---|---|
| 技能匹配 | skill_match |
高 | 技术栈是否对口 |
| 经验匹配 | experience_match |
高 | 工作年限、行业背景 |
| 学历匹配 | education_match |
中 | 教育背景 |
| 薪资匹配 | salary_match |
视情况 | 期望与预算对比 |
评分等级
| 分数 | 等级 | 星级 |
|---|---|---|
| 90-100 | 优秀 | ⭐⭐⭐⭐⭐ |
| 75-89 | 良好 | ⭐⭐⭐⭐ |
| 60-74 | 一般 | ⭐⭐⭐ |
| 0-59 | 较差 | ⭐⭐ |
输出模板
## 候选人匹配报告
**候选人**: [姓名]
**综合匹配度**: [score]/100 ⭐⭐⭐⭐
### 分维度评估
| 维度 | 得分 | 评级 | 说明 |
|------|------|------|------|
| 技能匹配 | [score] | [level] | [details] |
| 经验匹配 | [score] | [level] | [details] |
| 学历匹配 | [score] | [level] | [details] |
| 薪资匹配 | [score] | [level] | [details] |
### 核心优势 ✅
- [advantage1]
- [advantage2]
### 需关注 ⚠️
- [gap1]
- [gap2]
### 面试建议
- [suggestion1]
- [suggestion2]
### 推荐
**[建议/不建议]面试** - [reason]
批量筛选流程
当用户要筛选多个候选人时:
- 定义岗位要求 - 收集完整的职位描述
- 逐个匹配 - 对每个候选人调用匹配接口
- 对比排序 - 按
overall_score排序 - 输出报告 - 生成排名对比表
注意事项
- 必须同时提供简历文件和职位描述
- 职位描述越详细,匹配越准确
- 先检查返回的
code字段 - 匹配结果是 AI 分析,最终决策需人工判断
Usage Guidance
This skill appears to do what it says (call a matching API with a resume and job description) but before installing consider: (1) Privacy: resumes contain personal data — check whether you have candidate consent and whether sending resumes to https://openapi.51mee.com is acceptable. (2) Authentication: the documentation example shows no API key; verify whether the real API requires credentials and where to store them securely. (3) Vendor vetting: there is no homepage or source listed — try to confirm the service's legitimacy and data retention/privacy policies. (4) Testing: try the skill only on non-sensitive sample resumes first. If you cannot verify the endpoint, avoid uploading real candidate data or require that matching be done locally or via a vetted provider.
Capability Analysis
Type: OpenClaw Skill
Name: 51mee-resume-match
Version: 1.2.1
The skill '51mee-resume-match' is designed to perform resume-to-job matching by sending candidate files and job descriptions to a third-party API (openapi.51mee.com). The behavior is fully aligned with its stated purpose, and the provided instructions in SKILL.md are standard for an AI agent to process recruitment data without any signs of malicious intent, obfuscation, or unauthorized access.
Capability Assessment
Purpose & Capability
Name/description (人岗匹配) align with the SKILL.md: it documents calling an external match API with a resume file and job description to produce scores and a report. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
Instructions are narrowly scoped to POSTing a resume file and jd_text to https://openapi.51mee.com/api/v1/parse/match and to format the returned JSON into a report. However, the skill explicitly instructs uploading resumes (sensitive personal data) to an external endpoint and gives no guidance about consent, redaction, or privacy. It also omits any authentication steps (API key/token) which is unusual for an external API.
Install Mechanism
Instruction-only skill with no install spec or code to write to disk. Lowest install risk; nothing will be downloaded or installed by the skill itself.
Credentials
The skill requests no environment variables or credentials, which is coherent with the manifest. That said, many SaaS APIs require an API key — the absence of any declared auth is noteworthy. If the real API actually requires credentials, the skill's manifest is incomplete and could cause silent failures or unexpected unauthenticated requests.
Persistence & Privilege
always is false and there are no claims of modifying other skills or system configs. The skill does not request persistent platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install 51mee-resume-match - After installation, invoke the skill by name or use
/51mee-resume-match - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.1
51mee-resume-match 1.0.0
- 首次发布人岗匹配技能,实现简历与职位描述的自动匹配评分。
- 支持多维度评估(技能、经验、学历、薪资),并生成结构化匹配报告。
- 提供核心优势、差距、面试建议及面试推荐。
- 支持批量候选人筛选与对比排序。
- 明确API调用方式与数据结构,便于集成和使用。
v1.0.0
51mee-resume-match 1.0.0
- Initial release of the 人岗匹配(resume-job matching)skill.
- Supports candidate-to-job matching via API, generating match scores and detailed dimension analysis.
- Provides structured data on skills, experience, education, and salary match, along with advantages, gaps, risks, and interview suggestions.
- Includes markdown output templates for candidate reports.
- Offers workflow guidance for batch screening of multiple candidates.
Metadata
Frequently Asked Questions
What is 51mee Resume Match?
人岗匹配。触发场景:用户要求匹配简历和职位;用户问这个候选人适合这个职位吗;用户要筛选最匹配的候选人。 It is an AI Agent Skill for Claude Code / OpenClaw, with 277 downloads so far.
How do I install 51mee Resume Match?
Run "/install 51mee-resume-match" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 51mee Resume Match free?
Yes, 51mee Resume Match is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 51mee Resume Match support?
51mee Resume Match is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 51mee Resume Match?
It is built and maintained by 51mee (@51mee-com); the current version is v1.2.1.
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