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Search Australian job listings (Adzuna + Workforce Australia) and rank them against the user's profile. Use when the user wants to find jobs, e.g. "/jobfinder:search devops engineer Brisbane" or "find me remote data roles".
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Apply to a job the hybrid way — auto-draft an EMAIL application (into the user's Gmail drafts, resume attached) when the ad accepts email, or hand back a ready-to-submit pack (direct link + cover letter on the clipboard + prepared screening answers) for form-only jobs. Use for "/jobfinder:apply adzuna:12345" or "apply to this job for me".
Save recurring job searches and surface only newly-posted matches on demand. Use when the user wants a saved search / job alert, e.g. "/jobfinder:alerts save devops devops engineer Brisbane" or "/jobfinder:alerts run".
Ingest the user's resume, CV, and other career documents to build a structured profile that grounds all job matching and application tailoring. Use when the user wants to upload or update their resume/CV, or run "/jobfinder:profile <files>".
One-time setup for the jobfinder plugin — configure Adzuna API credentials and verify each Australian job source is reachable. Run this first.
Draft a tailored cover letter and resume-tweak suggestions for a specific job listing, grounded in the user's profile. Use when the user wants to apply to or tailor an application for a saved job, e.g. "/jobfinder:tailor adzuna:12345".
Track and view the job-application pipeline (saved, applied, interviewing, offer). Use when the user wants to save a job, update its status, add a note, or see their pipeline, e.g. "/jobfinder:track applied adzuna:12345" or "/jobfinder:track list".
| name | search |
| description | Search Australian job listings (Adzuna + Workforce Australia) and rank them against the user's profile. Use when the user wants to find jobs, e.g. "/jobfinder:search devops engineer Brisbane" or "find me remote data roles". |
Find Australian jobs and rank them against the user's grounded profile.
$ARGUMENTS is the free-text request.
Load grounding. If ~/.jobfinder/profile/profile.md exists, Read it into
context now. If it doesn't, tell the user to run /jobfinder:profile first —
you can still search, but ranking will be generic without it.
Build the query. Translate the request (plus profile defaults) into flags.
Interpret bare city names as Australian (e.g. "Sydney" → --where Sydney).
Geolock: never search another country or substitute a non-Australian
location. Then run:
uv run "${CLAUDE_PLUGIN_ROOT}/scripts/search.py" --what "<keywords>" [--where "<AU location>"] [--salary-min <AUD>] [--max-days-old <N>]
The script returns JSON: {query, new_count, total_found, listings:[...]}.
Each listing has id, title, company, location, salary_min/max
(AUD), url, source, and a description snippet. Newly-seen jobs are stored
automatically. If listings is empty, broaden the query (drop the location,
widen --max-days-old, loosen keywords) and try again.
Score each listing 0–100 against the profile using this rubric:
Persist the scores so the tracker and alerts can reuse them:
uv run "${CLAUDE_PLUGIN_ROOT}/scripts/tracker.py" score <id> <0-100> "<one-line reason>"
Present a ranked table (highest score first): score, title, company,
location, AUD salary, source, id. Add a one-line "why it fits / watch-out"
for the top handful. Be honest about weak matches — don't inflate scores.
Offer next actions: save a job (/jobfinder:track save <id>), tailor an
application (/jobfinder:tailor <id>), or save this as a recurring alert
(/jobfinder:alerts save <name> <query>).