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Job Hunter

Comprehensive job search assistant for finding, evaluating, and applying to job opportunities.

Rating
4.4 (92 reviews)
Downloads
1,632 downloads
Version
1.0.0

Overview

Comprehensive job search assistant for finding, evaluating, and applying to job opportunities.

Complete Documentation

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Job Hunter

End-to-end job search assistant — from finding opportunities to landing interviews.

Quick Start

1. Set up candidate profile

Create a profile JSON for the user. Use the template at {baseDir}/references/profile-template.json as a starting point. Ask the user about:

  • Target roles and seniority level
  • Key skills and tools
  • Location preferences (cities + remote)
  • Salary expectations
  • Dealbreakers and excluded companies
  • Preferred industries/domains
Save as profile.json in the workspace.

2. Search for jobs

Use the web_search tool with multiple queries to cast a wide net:

text
site:linkedin.com/jobs "[role]" "[city]"
site:indeed.com "[role]" "[city]"  
site:glassdoor.com/job "[role]" "[city]"
"[role]" "[city]" hiring 2025 2026

Expand keywords — don't just search one title. See {baseDir}/references/search-strategies.md for keyword expansion patterns.

Alternative: run the search script if Brave API is available:

bash
{baseDir}/scripts/search_jobs.sh "CX Manager" --location "Amsterdam" --days 7

3. Evaluate fit

For each job found, run fit analysis:

bash
python3 {baseDir}/scripts/analyze_fit.py --profile profile.json --jobs jobs.json --threshold 50

Or evaluate manually using this framework:

  • Skill match (40%): Does user have 60%+ of required skills?
  • Seniority match (25%): Right level — not over/under qualified?
  • Location match (15%): Compatible location or remote?
  • Domain match (10%): Preferred industry/domain?
  • Red flags (10%): Excluded companies? Dealbreakers?
Score: 🟢 75+ great | 🟡 55-74 good | 🟠 40-54 stretch | 🔴 <40 skip

4. Present results

For each job, present:

  • Role & Company with direct link
  • Fit score with color indicator
  • Why it's a match (top 3 skill matches)
  • Gaps to address (missing skills to highlight as "eager to learn")
  • Salary estimate if available
  • Recommendation: Apply / Maybe / Skip

Application Support

Cover letters

Read {baseDir}/references/cover-letter-guide.md for structure and tone guidelines. Generate tailored cover letters that:
  • Reference specific company details (not generic)
  • Map user's experience to top 2-3 job requirements
  • Include quantified achievements
  • Stay under 350 words

Interview prep

Read {baseDir}/references/interview-prep.md for complete preparation framework. Help with:
  • Company research summaries
  • STAR stories for key requirements
  • Tailored "tell me about yourself" script
  • Salary negotiation talking points
  • Questions to ask the interviewer

Salary research

bash
bash {baseDir}/scripts/salary_research.sh "Job Title" "Location"
Cross-reference 3+ sources. In the Netherlands: factor in 8% holiday allowance, possible 13th month, pension.

Daily Brief Format

When running as a scheduled job search brief:

  • New opportunities — jobs found in last 24h with fit scores and direct links
  • Application status — updates on pending applications
  • Action items — what to apply to today, follow-ups due
  • Market intel — industry trends, salary movements, hiring patterns

Tracking

Maintain a job tracker with:

  • Company, role, date found, source URL
  • Fit score and recommendation
  • Status: newappliedscreeninginterviewoffer/rejected/ghosted
  • Applied/skipped with reason
  • Contact info and follow-up dates

Tips for Agents

  • Never apply on behalf of the user — present opportunities, let them decide
  • Don't overwhelm — 3-5 quality matches beat 20 mediocre ones
  • Track excluded companies — never suggest the same company twice after rejection
  • Be honest about fit — stretches are okay to flag, but don't oversell poor matches
  • Respect dealbreakers — if user said no customer service, don't suggest it even if "it's a great company"
  • Update the profile — as you learn user preferences, refine the profile
  • Celebrate wins — applied to a job? Got an interview? Acknowledge it

Installation

Terminal bash

openclaw install job-hunter
    
Copied!

💻Code Examples

"[role]" "[city]" hiring 2025 2026

role-city-hiring-2025-2026.txt
Expand keywords — don't just search one title. See `{baseDir}/references/search-strategies.md` for keyword expansion patterns.

Alternative: run the search script if Brave API is available:

{baseDir}/scripts/search_jobs.sh "CX Manager" --location "Amsterdam" --days 7

basedirscriptssearchjobssh-cx-manager---location-amsterdam---days-7.txt
### 3. Evaluate fit

For each job found, run fit analysis:

python3 {baseDir}/scripts/analyze_fit.py --profile profile.json --jobs jobs.json --threshold 50

python3-basedirscriptsanalyzefitpy---profile-profilejson---jobs-jobsjson---threshold-50.txt
Or evaluate manually using this framework:
- **Skill match** (40%): Does user have 60%+ of required skills?
- **Seniority match** (25%): Right level — not over/under qualified?
- **Location match** (15%): Compatible location or remote?
- **Domain match** (10%): Preferred industry/domain?
- **Red flags** (10%): Excluded companies? Dealbreakers?

Score: 🟢 75+ great | 🟡 55-74 good | 🟠 40-54 stretch | 🔴 <40 skip

### 4. Present results

For each job, present:
- **Role & Company** with direct link
- **Fit score** with color indicator
- **Why it's a match** (top 3 skill matches)
- **Gaps to address** (missing skills to highlight as "eager to learn")
- **Salary estimate** if available
- **Recommendation**: Apply / Maybe / Skip

## Application Support

### Cover letters
Read `{baseDir}/references/cover-letter-guide.md` for structure and tone guidelines. Generate tailored cover letters that:
- Reference specific company details (not generic)
- Map user's experience to top 2-3 job requirements
- Include quantified achievements
- Stay under 350 words

### Interview prep
Read `{baseDir}/references/interview-prep.md` for complete preparation framework. Help with:
- Company research summaries
- STAR stories for key requirements
- Tailored "tell me about yourself" script
- Salary negotiation talking points
- Questions to ask the interviewer

### Salary research
example.txt
site:linkedin.com/jobs "[role]" "[city]"
site:indeed.com "[role]" "[city]"  
site:glassdoor.com/job "[role]" "[city]"
"[role]" "[city]" hiring 2025 2026

Tags

#search_and-research

Quick Info

Category Web Scrapers
Model Claude 3.5
Complexity One-Click
Author sharbelayy
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

Get started with this skill in seconds

openclaw install job-hunter