job-hunter✓ ناجح

محتوى SKILL.md

---
name: job-hunter
description: Comprehensive job search assistant for finding, evaluating, and applying to job opportunities. Use when a user needs help with job hunting, job searching, finding openings, evaluating job fit, preparing applications, writing cover letters, interview preparation, salary research, or tracking applications. Supports multi-source job search across LinkedIn, Indeed, Glassdoor, and more with automated fit scoring against a candidate profile.
---

# 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:

```
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:

1. **New opportunities** — jobs found in last 24h with fit scores and direct links
2. **Application status** — updates on pending applications
3. **Action items** — what to apply to today, follow-ups due
4. **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: `new` → `applied` → `screening` → `interview` → `offer`/`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

الترخيص

الترخيص المُعلن: MIT

MIT License

Copyright (c) 2026 openclaw

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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