agentleFS
yih0nkyih0nk/job-hunt-agent/skills/recruit/SKILL.md

recruit

Skill0 starsChanged 56 days agoMITView on GitHub

Run the recruiting pipeline end to end (scout -> match -> apply -> track) and produce the daily report. Use when the user says "check for new roles", "run recruit", or on the daily schedule.

4 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions4 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 4

    1. superdesigndev/treg★ 7.7ksame name
    2. zubair-trabzada/ai-recruiter-claude★ 41same name
    3. tal7aouy/RecruitKit★ 3same name
    4. southglory/system-agents-template★ 2same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repositoryOne other file it gives its agents.

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Never submit an application.

    line 43
  2. Distinctive:

    Never check "Applied" in the tracker without explicit user confirmation.

    line 44
  3. Distinctive:

    Only credit real experience.

    line 45

“Common” is measured: kept by at least 6 in 10 of the 3 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

/recruit — recruiting pipeline orchestrator

Coordinates four agents. State lives in state/; personal config in config/*.yaml (gitignored). Nothing is ever submitted automatically — the Applier fills to the submit button and stops for review.

Flow

  1. Scout — agents/scout.md. Poll sources, diff, filter, queue new roles.
  2. Matcher — agents/matcher.md. Score each new role 0-100, pick a resume category, flag ineligible. Bucket by config/scoring.yaml thresholds.
  3. Applier — agents/applier.md. For auto_draft roles: resolve link, tailor resume (via the standing tailoring spec), draft answers, fill to the submit button, screenshot, stage under applications/. Hand off for accounts/CAPTCHAs.
  4. Tracker — agents/tracker.md. Update the board, detect recruiter replies, update pattern stats.

Output — the daily report

Recruiting — <date>
  Scanned N · passed filters M · NEW k
  Auto-drafted (awaiting your review): <company/role @ score> ...
  Review manually (55-69): ...
  Ineligible (gated): <company/role — gate> ...
  Recruiter activity: <replies / OA deadlines>
  Patterns: <most common ATS / question / etc.>
  Action needed from you: <accounts to create / packages to review + submit>

Modes

  • /recruit — full run + report.
  • /recruit scan — Scout + Matcher only (no drafting).
  • /recruit scan past day|week|N days — time-windowed scan via the listing Age column (poll-repo.py --max-age-days N --ignore-seen), then score. Use for ad-hoc "what's new in the last day" requests.
  • /recruit apply <company> — draft a package for one specific queued role.

Invariants

  • Never submit an application. Never create accounts or type passwords. Never solve CAPTCHAs.
  • Never check "Applied" in the tracker without explicit user confirmation.
  • Only credit real experience; delegate all resume tailoring to the spec.

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