career-ops -- Router

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.

Project Root Resolution

Before reading any repo-relative path, derive PROJECT_ROOT from this loaded SKILL.md: start at the skill file's directory and walk upward until the nearest directory containing both AGENTS.md and modes/. Resolve every path in this router (modes/, config/, data/, scripts, templates, and output paths) against PROJECT_ROOT, never against the process's current working directory. This is required even when the checkout itself is nested (for example Development\\career-ops) or the command starts from a subdirectory. If those two sentinels cannot be found, stop and locate the career-ops checkout before reading or writing files.

Invocation Notes

• CLIs with slash-command registration can expose this router as /career-ops.
• In Cursor, this skill lives at .cursor/skills/career-ops/ and is auto-discovered; ask for a mode by name, or paste a JD/URL to trigger auto-pipeline.
• Interactive Codex sessions use 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.
• Headless Codex workers use codex exec "prompt".
• The routing semantics below stay the same regardless of whether the entrypoint is a slash command or a natural-language 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.

Mode Routing

Determine the mode from $mode:

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.

Output Language Directive

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. If language.modes_dir supplies 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.

Discovery Mode (no arguments)

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 eu-fintech → Scan 21 EU fintech portals for Product Manager roles (zero-token)
  /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 text      → Tailored markdown CV (mirrors cv.md, no PDF)
  /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 expand    → Auto-discover and add missing competencies from profile links
  /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 discover  → Resolve a company list to scannable ATS boards + append to portals.yml (zero-token)
  /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 outcome   → Record application outcome & archive artifacts
  /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.

Context Loading by Mode

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.

Modes that require _shared.md + their mode file

Read modes/_shared.md + modes/_profile.md (if exists) + modes/_custom.md (if exists) + modes/{mode}.md

Applies to: auto-pipeline, oferta, ofertas, pdf, text, contacto, apply, pipeline, scan, batch

Standalone modes with profile and custom context

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, reply-watch, outcome, cover, email, add, offer-prep, discover

Modes delegated to subagent

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.