Publish, update, and manage job postings in the AI-powered job matching system, and view matched candidates.

Overview

This skill helps recruiters manage job postings through an interactive conversation. Provide information flexibly - share everything at once or answer questions step-by-step. The system supports:

• Publish job - Create a recruiter account, publish a job posting, and trigger AI matching
• Update job - Modify job details (title, requirements, salary, etc.)
• Delete job - Soft-delete job posting (mark as INACTIVE, preserving match history)
• View jobs - Check all your published jobs
• List matched candidates - View candidates matched by the AI system with similarity scores

Available Scripts

• publish_job.py - Publish, update, delete jobs, and list matches for a specific job
• get_profile.py - View all your jobs and matched candidates (read-only)

Workflow

Publish Job (action: publish)

Step 1: Gather Job Posting Information

Collect the following required fields. Users can provide them in any order or all at once:

Required fields:

• Job title: Position name (e.g., "Senior Python Backend Engineer")
• Company name: Employer name
• Job requirements: Detailed requirements including skills, responsibilities, and qualifications
• Salary range: Compensation range (e.g., "25k-40k", "30k-50k")
• Work location: Office location (e.g., "Shanghai-Changning District", "Beijing-Chaoyang District")
• Job type: Employment type (e.g., "Full-time", "Part-time", "Contract")
• Education requirement: Minimum education level (e.g., "Bachelor's degree or above")
• Experience requirement: Required years of experience (e.g., "3-5 years", "5+ years")

Example user inputs:

_All at once:_

"I want to post a job for a Python Backend Engineer at Pinduoduo in Shanghai Changning District. Salary 25k-40k. Requirements: Familiar with Python, Django/Flask frameworks, RESTful API development experience. Knowledge of MySQL, Redis databases. E-commerce or payment system experience preferred. Full-time position, bachelor's degree or above, 3-5 years experience."

_Step by step:_

"I need to hire a developer"
[Claude asks for job title]
"Python Backend Engineer"
[Claude asks for company, requirements, salary, location, etc.]

Step 2: Validate Completeness

Before submission, verify all required fields are present. If any are missing, ask the user to provide them.

Step 3: Publish Job Posting

cat <",
  "companyName": "",
  "requirement": "",
  "salary": "",
  "location": "",
  "jobType": "",
  "education": "",
  "experience": "",
  "status": "ACTIVE"
}
EOF

Step 4: Confirm Success

After successful publication, inform the user and save the returned job ID for future operations (update, delete, list matches). The token is automatically saved.

Update Job (action: update)

Requires the jobId from a previous publish. Only changed fields need to be provided. The script will automatically use the saved token.

cat <",
  "salary": "",
  "requirement": ""
}
EOF

Updatable fields: title, companyName, requirement, salary, location, jobType, education, experience, status.

Delete Job (action: delete)

Soft-deletes the job posting by marking it as INACTIVE. Match history is preserved.

cat <"
}
EOF

View Jobs and Matches (get_profile.py)

Check your published jobs and matched candidates without making any changes.

View All Jobs

cat <

View Specific Job Details

cat <"
}
EOF

View Matches for Specific Job

cat <"
}
EOF

View All Matches Across All Jobs

cat <

View Full Information (all jobs + all matches)

cat <

When to use get_profile.py:

• User asks "What jobs have I published?" or "Show me my jobs"
• User wants to check matches across all jobs
• User wants to review job details before updating
• User asks "Do I have any candidates?"

List Matched Candidates (action: matches)

Retrieve candidates matched by the AI system for a specific job posting and provide comprehensive multi-dimensional analysis.

cat <"
}
EOF

Step 1: Retrieve Matched Candidates

The API returns a list of matched candidates with similarity scores. Each match includes:

• Candidate details (name, resume, skills, experience, etc.)
• Similarity score (0-1 range, based on vector matching)
• Match metadata

Step 2: Provide Comparative Summary

After analyzing individual candidates, provide a comparative summary:

Top 3 Recommendations: Rank the top 3 candidates with brief rationale for each.

Candidate Distribution:

• Excellent matches (score > 0.85): X candidates
• Good matches (score 0.75-0.85): Y candidates
• Moderate matches (score 0.65-0.75): Z candidates

Hiring Strategy Advice:

• Which candidates to prioritize for interviews
• Suggested interview panel composition
• Timeline recommendations
• Backup candidate strategy

Output Format Guidelines

IMPORTANT: Always respond in the user's language. If the user communicates in Chinese, respond in Chinese. If in English, respond in English. Adapt all section headers, labels, and content to match the user's language.

Structure your analysis report as follows:

Report Header:

• Title indicating this is a candidate match analysis report
• Job position and company name
• Visual separators (lines, emojis) to organize sections

For Each Matched Candidate:

• Candidate Header Section