بنقرة واحدة
career-ops
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| 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.
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