Serbia Job Search

Searches LinkedIn, Poslovi Infostud, and HelloWorld.rs for jobs matching your target roles. Scores each listing against your resume PDF (1-10 with justification) using your configured LLM. Results in chat, optional email digest, optional daily cron. No auto-applying. Cover letters on demand. Use when the user says: - "Run the job search" - "Find jobs for me" / "Search for jobs" - "Set up daily job search" / "Schedule the job search" - "Enable email for job results" - "Write a cover letter for [job title / company]" - "Generate a cover letter for [pasted job description]"

Job Search — Serbia & Remote

Overview

Three modes:

1. Job Digest — Scrape → extract resume → YOU score and output in chat
2. Email — Optional. After chat output, send HTML digest via SMTP
3. Cover Letter — On demand, YOU write it following strict human-voice rules

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File Locations

File	Purpose
workspace/resume.pdf	Resume PDF. User replaces to update CV.
workspace/roles.txt	Target job titles, one per line.
workspace/config.json	Search, email, and cron settings.
data/seen_jobs.db	SQLite — deduplication across runs. Auto-created.
scripts/scrape.py	Fetches jobs from LinkedIn, Infostud, HelloWorld.rs.
scripts/extract_resume.py	Extracts text from resume.pdf. Prints to stdout.
scripts/mark_seen.py	Marks shown jobs as seen. Run after output.
scripts/send_email.py	Sends HTML email digest. Only if email.enabled=true.

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Running the Job Digest

Step 1 — Scrape

bash

python scripts/scrape.py

Writes new unseen jobs to data/raw_jobs.json.

Step 2 — Extract resume

bash

python scripts/extract_resume.py

Read the printed resume text carefully — you need it for scoring.

Step 3 — YOU score each job

Read data/raw_jobs.json. For each job score the fit against the resume 1–10.

Scoring guide:

• 9–10: Exceptional. Meets nearly all requirements, strong stack + seniority match.
• 7–8: Strong. Meets most requirements, minor gaps won't block candidacy.
• 5–6: Moderate. Core match but notable gaps or a stretch.
• 3–4: Weak. Some overlap but significant mismatches.
• 1–2: Poor. Little alignment.

Be specific. Reference actual skills/experience from the resume against actual requirements in the job. Use the tags field where descriptions are absent. Only include jobs at or above config.json → search.min_score_to_include.

Step 4 — Output in chat

Sort by score descending, grouped by source. Format each job as:

text

🟢 [9/10] Strong fit
   Senior .NET Developer
   Luxoft Serbia · Belgrade
   Tags: .NET, Azure, SQL
   🔗 https://...
   ↳ [your 2-3 sentence justification]

🟢 = score 8–10 · 🟡 = 6–7 · 🔴 = below 6

Top summary line: "Found X jobs — Y 🟢 strong · Z 🟡 good · W 🔴 moderate"

Step 5 — Mark seen + optional email

Always run after outputting results:

bash

python scripts/mark_seen.py

Then check config for email:

bash

python scripts/send_email.py

If email.enabled is false in config.json, the email script prints "Email disabled" and exits cleanly — no error, nothing to do.

If email is enabled, it sends the HTML digest automatically.

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Setting Up Daily Cron (Automation)

When the user says "set up daily job search" or "schedule this" or "run it every day at [time]":

1. Read workspace/config.json to get the preferred time and timezone. Default is 09:00 Europe/Belgrade unless the user specifies otherwise.

2. Update config.json to set cron.enabled = true and the user's preferred time.

3. Register the cron job with OpenClaw:

bash

openclaw cron add \
  --name "Daily Job Search" \
  --cron "0 9 * * *" \
  --tz "Europe/Belgrade" \
  --session isolated \
  --message "Run the job search"

Adjust the hour (0 9 = 9am) to match the user's chosen time.

4. Confirm to the user: "Daily job search scheduled for 9:00 AM Belgrade time. Your OpenClaw gateway must be running for the schedule to fire."

To cancel: openclaw cron list to find the job ID, then openclaw cron delete <id>

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Enabling Email

When the user says "enable email" or "also send results by email":

1. Ask for: Gmail address, Gmail App Password (16-char, from myaccount.google.com/apppasswords), and recipient email (can be the same address).

2. Update workspace/config.json:

   • Set email.enabled to true
   • Fill in smtp_user, smtp_pass, recipient

3. Confirm: "Email enabled. Results will be sent to [address] after each job search."

Note: Gmail requires an App Password (not the regular login password). Generate one at: myaccount.google.com/apppasswords

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Cover Letter (On Demand)

When the user asks for a cover letter for a specific job:

1. Run python scripts/extract_resume.py and read the output.
2. Use the job title, company, and any description the user provided.
3. Write the letter yourself following these rules exactly:

Rules — non-negotiable:

• Do NOT open with "I am writing to apply for..." or any variation
• No AI buzzwords: cut "leverage", "passionate", "dynamic", "synergy", "results-driven", "excited to", "I believe I would be a great fit"
• Reference SPECIFIC things from the resume against SPECIFIC requirements in the job
• Vary sentence rhythm — mix short sentences with longer ones, not uniform blocks
• 3–4 paragraphs, under 350 words total
• End with a direct, confident close — not "I look forward to hearing from you"
• Sign off as the user's name (check resume for name)
• Must sound like a thoughtful person wrote it after reading the JD carefully

Output the letter in chat. The user copies and edits it themselves.

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Important Rules

• Never auto-apply to any job under any circumstances.
• Never make external LLM API calls FROM SCRIPTS — scoring and cover letters are handled by YOU directly within this conversation session.
• If workspace/resume.pdf is missing: stop and tell the user.
• If workspace/roles.txt is empty: stop and tell the user.
• Email is always optional — skill works fully without it.