원클릭으로
career-ops
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
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
How to mirror the career-ops tracker to a Notion database and read records back as job leads.
How to scan a job source through an Apify actor as a keyed provider.
How to pull job leads from a Gmail label into the career-ops pipeline.
How to use the {{NAME}} plugin and the data it produces.
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
| name | career-ops |
| description | AI job search command center -- evaluate offers, generate CVs, scan portals, track applications |
| arguments | mode |
| user_invocable | true |
| user-invocable | true |
| argument-hint | [scan | deep | pdf | latex | latex-tex | cover | email | add | eu-swe | oferta | ofertas | apply | batch | tracker | agent-inbox | pipeline | contacto | training | project | interview-prep | interview | interview/plan | interview/practice | interview/debrief | patterns | offer-prep | titles | upskill | followup | update] |
| license | MIT |
career-ops is a multi-CLI job-search command center. The routing below is shared across supported agent CLIs even when the invocation surface differs.
/career-ops.codex in the repo root. Slash commands are not guaranteed in Codex, so ask Codex to run the same mode by name if /career-ops is unavailable.codex exec "prompt".Codex prompt examples that map to the same router semantics:
Evaluate this JD with career-ops auto-pipeline: https://company.com/jobs/123
Run the career-ops scan mode and summarize new matches.
Run the career-ops pipeline mode for data/pipeline.md.
Run the career-ops pdf mode for the latest evaluated role.
Run the career-ops tracker mode and summarize the current statuses.
Determine the mode from $mode:
| Input | Mode |
|---|---|
| (empty / no args) | discovery -- Show command menu |
| JD text or URL (no sub-command) | auto-pipeline |
oferta | oferta |
ofertas | ofertas |
contacto | contacto |
deep | deep |
interview-prep | interview-prep |
interview | interview |
eu-swe | regional/eu-swe |
interview/plan | interview/plan |
interview/practice | interview/practice |
interview/debrief | interview/debrief |
pdf | pdf |
latex | latex |
latex-tex | latex-tex |
email | email |
training | training |
project | project |
tracker | tracker |
agent-inbox | agent-inbox |
inbox | agent-inbox |
pipeline | pipeline |
apply | apply |
scan | scan |
batch | batch |
patterns | patterns |
offer-prep | offer-prep |
titles | titles |
upskill | upskill |
followup | followup |
update | update |
cover | cover |
add | add |
Auto-pipeline detection: If $mode is not a known sub-command AND contains JD text (keywords: "responsibilities", "requirements", "qualifications", "about the role", "we're looking for", company name + role) or a URL to a JD, execute auto-pipeline.
If $mode is not a sub-command AND doesn't look like a JD, show discovery.
Before executing any mode, read config/profile.yml if it exists and resolve:
language.output → ISO language code for human-facing output. Default: en.language.modes_dir → optional market-mode directory. This controls market vocabulary and local evaluation rules only.Inject this directive after loading the mode instructions and before producing any user-visible content:
Write all human-facing output in
{language.output}regardless of the language of these instructions or of the job description. This includes reports, tracker notes, PDFs, cover letters, outreach, interview prep, form answers, and summaries. Iflanguage.modes_dirsupplies market-specific vocabulary, keep the market logic but explain terms in{language.output}when needed.
language.output is authoritative for prose. modes_dir is market context; it must not force the prose language.
If your CLI supports /career-ops, show this menu. In Codex, surface the same options in plain text and map the requested mode the same way.
Concrete equivalents for Codex prompt-driven sessions:
/career-ops {JD} ↔ "Evaluate this JD with career-ops auto-pipeline: {JD or URL}"
/career-ops scan ↔ "Run the career-ops scan mode and summarize new matches."
/career-ops pipeline ↔ "Run the career-ops pipeline mode for data/pipeline.md."
/career-ops pdf ↔ "Run the career-ops pdf mode for the latest evaluated role."
/career-ops email ↔ "Run the career-ops email mode for the latest evaluated role."
/career-ops tracker ↔ "Run the career-ops tracker mode and summarize the current statuses."
Show this menu:
career-ops -- Command Center
Available commands:
/career-ops {JD} → AUTO-PIPELINE: evaluate + report + PDF + tracker (paste text or URL)
/career-ops pipeline → Process pending URLs from inbox (data/pipeline.md)
/career-ops oferta → Evaluation only A-F (no auto PDF)
/career-ops ofertas → Compare and rank multiple offers
/career-ops contacto → LinkedIn power move: find contacts + draft message
/career-ops deep → Deep research prompt about company
/career-ops interview-prep → Generate company-specific interview prep doc
/career-ops interview → Interactive profile/CV onboarding interview
/career-ops eu-swe → Calibrate a European SWE application before CV/apply/interview
/career-ops interview/plan → Time-blocked prep plan for an upcoming interview
/career-ops interview/practice → Practice interview, one question at a time with feedback
/career-ops interview/debrief → Post-interview debrief: close gaps, predict next round
/career-ops pdf → PDF only, ATS-optimized CV
/career-ops latex → Export CV as LaTeX/Overleaf .tex
/career-ops latex-tex → Tailor your own resume.tex in place (opt-in; cv.md stays default)
/career-ops cover → Cover letter: standalone JD paste or /career-ops cover {slug}
/career-ops email → Formal application email draft (draft-only; never sends, submits, or clicks)
/career-ops add → Add a project/paper/role to your CV (fetch + preview + confirm)
/career-ops training → Evaluate course/cert against North Star
/career-ops project → Evaluate portfolio project idea
/career-ops tracker → Application status overview
/career-ops agent-inbox → Queue/drain requests for the next session (data/agent-inbox.md)
/career-ops apply → Live application assistant (reads form + generates answers)
/career-ops scan → Scan portals and discover new offers
/career-ops batch → Batch processing with parallel workers
/career-ops patterns → Analyze rejection patterns and improve targeting
/career-ops offer-prep → Read a received offer/contract with the candidate: clause walk + lawyer questions (not legal advice)
/career-ops titles → Suggest adjacent job titles from your CV to broaden the search
/career-ops upskill → Aggregate skill-gap analysis from your evaluated reports
/career-ops followup → Follow-up cadence tracker: flag overdue, generate drafts
/career-ops update → Update career-ops system files with diff preview + compat check
Inbox: add URLs to data/pipeline.md → /career-ops pipeline
Or paste a JD directly to run the full pipeline.
After determining the mode, load the necessary files before executing:
If modes/_custom.md exists, read it after modes/_profile.md and before the selected mode file. It contains user house rules and procedural preferences. It may override workflow/style defaults, but it never adds factual claims about the candidate.
_shared.md + their mode fileRead modes/_shared.md + modes/_profile.md (if exists) + modes/_custom.md (if exists) + modes/{mode}.md
Applies to: auto-pipeline, oferta, ofertas, pdf, contacto, apply, pipeline, scan, batch
Read modes/_profile.md (if exists) + modes/_custom.md (if exists) + modes/{mode}.md
Applies to: tracker, agent-inbox, deep, interview-prep, interview, regional/eu-swe, interview/plan, interview/practice, interview/debrief, latex, latex-tex, training, project, patterns, titles, upskill, followup, cover, email, add, offer-prep
For scan, apply (with Playwright), and pipeline (3+ URLs): launch as a worker/subagent with the content of _shared.md + _profile.md (if exists) + _custom.md (if exists) + modes/{mode}.md injected into the worker prompt. If your CLI exposes an Agent(...) primitive, the call looks like this:
Agent(
subagent_type="general-purpose",
prompt="[output language directive]\n\n[content of modes/_shared.md]\n\n[content of modes/_profile.md if exists]\n\n[content of modes/_custom.md if exists]\n\n[content of modes/{mode}.md]\n\n[invocation-specific data]",
description="career-ops {mode}"
)
Execute the instructions from the loaded mode file.