agentleFS
ai-job-search-devai-job-search-dev/ai-job-search/.agents/skills/linkedin-search/SKILL.md

linkedin-search

Skill69k starsChanged 5 days agoMITView on GitHub

Use this skill whenever the user wants to search for jobs in any location or market, find job listings, or look up a specific job posting — in any country, city, or remotely. Invoke for open positions, vacancies, and hiring across any sector or role (software, data, design, marketing, finance, legal, operations, etc.). The location is always supplied explicitly by the user. Trigger phrases: find a job, job search, search for jobs, job openings, vacancies, hiring, positions open, remote jobs, "are there any X jobs in <place>", look up this job posting.

We split this skill into the rules it gives an agent

4 rules. 2 are common, 0 are distinctive, and 2 are very specific to this project.

  • 2

    Common

    Most of the 4 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Search live job listings from LinkedIn's public job board for any country/region (and remote).

    line 20
  2. Common:

    Run it on your own responsibility.

    line 33
  3. Common:

    Search for job openings in a given location (any country/city) or remotely

    line 37
  4. Very specific:

    All errors are written to stderr as { "error": "...", "code": "..." } and the process exits with code 1.

    line 96

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

LinkedIn Search Skill

Search live job listings from LinkedIn's public job board for any country/region (and remote). No authentication, no API key, and zero runtime dependencies — it runs with just bun. The location is always passed explicitly, so the same skill works for a forker in any market out of the box.

This is a country-agnostic worked example of the repo's job-portal-skill pattern. LinkedIn's jobs-guest endpoints are global and the HTML parsing is country-independent; only the --location you pass changes per market.

⚠️ Personal use only

This uses LinkedIn's public job pages; automated access is against LinkedIn's Terms of Service, so keep volume low and don't use it commercially or for bulk data collection. Run it on your own responsibility.

When to use this skill

  • Search for job openings in a given location (any country/city) or remotely
  • Filter by recency (posted today / last 7 / 14 / 30 days) or workplace type (remote/hybrid/onsite)
  • Get the full description of a specific job listing

Commands

Search job listings

bun run .agents/skills/linkedin-search/cli/src/cli.ts search --location "<place>" [flags]

Key flags:

  • --location <text> / -l <text> — required. A LinkedIn place string, e.g. "Mumbai, Maharashtra, India", "Berlin, Germany", "London, United Kingdom", or "Remote".
  • --query <text> / -q <text> — keyword search (title, skill, role). Recommended.
  • --jobage <days> — posted within N days: 1, 7, 14, 30. Omit for all postings.
  • --jobage-minutes <n> — posted within N minutes (sub-day precision, e.g. 30). Conflicts with --jobage — pass only one.
  • --remote <mode> — remote, hybrid, or onsite (workplace-type filter).
  • --page <n> — page number (1-indexed, 10 results per page).
  • --limit <n> / -n <n> — cap total results emitted (client-side).
  • --format json|table|plain — default json.

Fetch full job detail

bun run .agents/skills/linkedin-search/cli/src/cli.ts detail <id|url> [--format json|plain]

id is the job ID from search results (e.g. 4426311357). You may also pass a full LinkedIn jobs/view/... URL or a urn:li:jobPosting:... URN. Returns the full description, seniority, employment type, job function, and industries.

Usage examples

# Data engineer roles in Bengaluru, last 30 days
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "data engineer" -l "Bengaluru, Karnataka, India" --jobage 30 --format table

# Product manager roles in Berlin, remote
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "product manager" -l "Berlin, Germany" --remote remote --format table

# Any role, fully remote
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "paralegal" -l "Remote" --format table

# Engineer roles, remote, posted in the last 30 minutes
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "engineer" -l "Remote" --jobage-minutes 30 --format table

# Full details for a specific job
bun run .agents/skills/linkedin-search/cli/src/cli.ts detail 4426311357 --format plain

Output formats

FormatBest for
jsonDefault — programmatic use, passing IDs to detail
tableQuick human-readable scanning
plainReading a single job's full detail (detail command)

All errors are written to stderr as { "error": "...", "code": "..." } and the process exits with code 1.

Notes

  • Data is from LinkedIn's public jobs-guest endpoints — no credentials required.
  • Page size is fixed at 10 results per page.
  • LinkedIn may rate-limit; the CLI retries 429/5xx with exponential backoff. Keep volume low (see ToS note above).
  • Job IDs are numeric (e.g. 4426311357) — pass them as-is to detail.

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Trending

Rising: 2 new projects took it in the last 4 weeks, 2× the 4 weeks before.thin data

Week of Aug 30: 1 new projectWeek of Sep 6: 0 new projectsWeek of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 1 new projectWeek of Oct 18: 1 new project
Aug 2026Sep 2026Oct 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 3 in all, so this is a hint, not a trend.

Who's talking about ai-job-search-dev/ai-job-search

The biggest 5 of 19 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 19

Talked about on YouTube, the web and GitHub (19 times).

On YouTube · 10

5 more on YouTube

On the web · 8

3 more on the web

On GitHub · 1

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