Jobclaw Recruit
by @imluyu
Help recruiters publish job postings to the job matching system. Use when users want to: (1) post a job, (2) publish a position, (3) hire someone, (4) recruit candidates, (5) find employees, or (6) advertise job openings. Supports flexible information collection - users can provide all details at once or be guided through step-by-step. Automatically creates recruiter account, generates job vectors, and enables AI-powered candidate matching.
clawhub install jobclaw-recruitπ About This Skill
name: recruiter description: "Help recruiters publish job postings to the job matching system. Use when users want to: (1) post a job, (2) publish a position, (3) hire someone, (4) recruit candidates, (5) find employees, or (6) advertise job openings. Supports flexible information collection - users can provide all details at once or be guided through step-by-step. Automatically creates recruiter account, generates job vectors, and enables AI-powered candidate matching."
Recruiter
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:
1. Publish job - Create a recruiter account, publish a job posting, and trigger AI matching 2. Update job - Modify job details (title, requirements, salary, etc.) 3. Delete job - Soft-delete job posting (mark as INACTIVE, preserving match history) 4. View jobs - Check all your published jobs 5. List matched candidates - View candidates matched by the AI system with similarity scores
Available Scripts
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:
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:
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:
#### 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:
Hiring Strategy Advice:
#### 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:
For Each Matched Candidate:
1. Candidate Header Section - Candidate name/identifier and number - Visual separator line
2. Overall Match Score (π) - Display the similarity score (e.g., 0.89) with interpretation (excellent/good/moderate/fair) - Brief summary of why this candidate matches or doesn't match
3. Skill Alignment Analysis (π§) - β List matching skills with experience levels - π‘ Highlight bonus skills (beyond requirements) - β οΈ Identify skill gaps (required but missing) - Provide skill match percentage estimate
4. Experience Fit Analysis (πΌ) - Compare required vs. actual years of experience - Assess industry/domain experience relevance - Evaluate project complexity and scale alignment - Determine seniority level match - Review career progression trajectory
5. Education & Qualifications (π) - Education level match - Relevant certifications - Academic background relevance
6. Cultural & Team Fit (π€) - Work style indicators from resume - Team collaboration experience - Leadership potential (if applicable) - Communication skills evidence
7. Compensation Expectations (π°) - Candidate's salary expectations vs. job offer - Negotiation room assessment - Total compensation considerations
8. Advantages & Disadvantages (β β οΈ) - List 3-5 key strengths of this candidate - List 2-4 potential concerns or gaps - Be objective and balanced
9. Hiring Recommendation (π―) - Priority level: π₯ High Priority / β Medium Priority / π Consider - Recommended action with clear reasoning - Suggested interview focus areas - Onboarding considerations
10. Interview Strategy (π) - Key areas to probe during interview - Technical assessment recommendations - Behavioral questions to ask - Red flags to watch for
11. Retention & Growth Potential (π) - Long-term fit assessment - Growth trajectory within the company - Retention risk factors - Development opportunities needed
After Individual Candidate Analysis:
Comparative Summary Section:
1. Top 3 Recommendations (π) - Rank top 3 candidates with medal emojis (π₯π₯π₯) - Brief rationale for each ranking
2. Candidate Distribution (π) - Count of excellent matches (score > 0.85) - Count of good matches (score 0.75-0.85) - Count of moderate matches (score 0.65-0.75)
3. Hiring Strategy Advice (π‘) - Which candidates to prioritize for interviews - Suggested interview panel composition - Timeline recommendations - Backup candidate strategy - Risk mitigation strategies
4. Action Checklist (π―) - Immediate next steps (contact candidates, schedule interviews) - Preparation tasks (interview questions, evaluation criteria) - Budget/compensation considerations - Process setup (offer templates, onboarding plans)
Formatting Guidelines:
#### Important Notes
API Configuration
Default API endpoint: https://api.jobclaw.ai
To use a different endpoint, modify the apiUrl parameter when calling the script.
Error Handling
If any operation fails:
Resources
scripts/publish_job.py
Python script supporting four actions (publish, update, delete, matches):
The script uses Python's built-in urllib library (no external dependencies required).