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tanishsidhu

Serbia Job Search

by Tanish Sidhu · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install job-search-skill
Description
Searches LinkedIn, Poslovi Infostud, and HelloWorld.rs for jobs matching your target roles. Scores each listing against your resume PDF (1-10 with justificat...
README (SKILL.md)

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

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.

Running the Job Digest

Step 1 — Scrape

python scripts/scrape.py

Writes new unseen jobs to data/raw_jobs.json.

Step 2 — Extract resume

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:

🟢 [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:

python scripts/mark_seen.py

Then check config for email:

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.


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:

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.

  1. 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 \x3Cid>


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


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.


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.
Usage Guidance
Install only if you are comfortable with the skill reading your resume, scraping job sites, and keeping job-search state locally. If you enable email, treat the Gmail App Password as a real secret: do not share or commit the skill folder, restrict file access where possible, and rotate or revoke the app password if it may have been exposed.
Capability Assessment
Purpose & Capability
The scripts and instructions match the stated purpose: scrape public job listings, extract a local resume for agent-side scoring, show results, optionally email a digest, optionally schedule a daily run, and never auto-apply.
Instruction Scope
Instructions are mostly user-directed; cron and email are enabled only on request. The skill does tell the agent to mark jobs as seen after output, creating deduplication state across runs.
Install Mechanism
Installation is a normal skill directory copy plus an optional pypdf dependency. No hidden install hook or automatic startup behavior was found.
Credentials
Network access to LinkedIn, Infostud, HelloWorld.rs, and Gmail SMTP is proportionate to job search and optional email delivery. Resume reading is expected for scoring and cover letters.
Persistence & Privilege
The skill persists raw/scored job data, a seen-jobs SQLite database, optional cron configuration, and optional SMTP credentials in workspace/config.json. The plaintext credential storage is a security hygiene risk but is disclosed and user-enabled.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install job-search-skill
  3. After installation, invoke the skill by name or use /job-search-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
job-search-skill v1.0.0 - Initial release focused on Serbia & remote job search. - Searches LinkedIn, Infostud, and HelloWorld.rs for matches to user-specified roles. - Scores each job against your resume on a 1–10 scale with justification, outputs results in chat. - Optional daily search scheduling and email digest via config settings. - Generates human-tailored cover letters on demand, following strict voice rules. - Never auto-applies or sends application materials; user control on all outputs.
Metadata
Slug job-search-skill
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 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 justificat... It is an AI Agent Skill for Claude Code / OpenClaw, with 32 downloads so far.

How do I install Serbia Job Search?

Run "/install job-search-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Serbia Job Search free?

Yes, Serbia Job Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Serbia Job Search support?

Serbia Job Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Serbia Job Search?

It is built and maintained by Tanish Sidhu (@tanishsidhu); the current version is v1.0.0.

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