init

config/profile.example.yml

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+# Career-Ops Profile Configuration
+# Copy this file to config/profile.yml and fill in your details.
+# This is the single source of truth for your personal data across all modes.
+
+candidate:
+  full_name: "Jane Smith"
+  email: "jane@example.com"
+  phone: "+1-555-0123"
+  # Optional. Used by `/career-ops email` contact blocks in markets where WeChat
+  # is an expected recruiting channel. Omit or leave blank if not applicable.
+  wechat: ""
+  location: "San Francisco, CA"
+  linkedin: "linkedin.com/in/janesmith"
+  portfolio_url: "https://janesmith.dev"
+  github: "github.com/janesmith"
+  twitter: "https://x.com/janesmith"
+  # Optional profile photo for the PDF CV (opt-in, #264). Leave empty to omit it
+  # entirely: US/UK and many-market ATS penalize photos, so the photoless layout
+  # is the default. Set it only for DACH/European markets (Germany, Austria,
+  # Switzerland) where a professional photo is expected. Use a local file path or
+  # a data: URL — the PDF renderer inlines local images.
+  photo: ""
+
+target_roles:
+  # Your North Star roles — what you're optimizing for
+  primary:
+    - "Senior AI Engineer"
+    - "Staff ML Engineer"
+  # Archetypes help the evaluation system score fit
+  archetypes:
+    - name: "AI/ML Engineer"
+      level: "Senior/Staff"
+      fit: "primary"        # primary = dream role, secondary = good fit, adjacent = stretch
+    - name: "AI Product Manager"
+      level: "Senior"
+      fit: "secondary"
+    - name: "Solutions Architect"
+      level: "Mid-Senior"
+      fit: "adjacent"
+
+narrative:
+  # Your professional headline (1 line)
+  headline: "ML Engineer turned AI product builder"
+  # Your exit story — what makes you unique
+  exit_story: "Built and sold my SaaS after 5 years. Now focused on applied AI at scale."
+  # Your top 3-5 superpowers
+  superpowers:
+    - "End-to-end ML pipelines"
+    - "Fast prototyping (idea to prod in 2 weeks)"
+    - "Cross-functional communication"
+  # Proof points — projects, articles, case studies with measurable impact
+  proof_points:
+    - name: "Project Alpha"
+      url: "https://janesmith.dev/project-alpha"
+      hero_metric: "Reduced inference latency 40%"
+    - name: "Open Source Tool"
+      url: "https://github.com/janesmith/tool"
+      hero_metric: "2K+ GitHub stars"
+  # Optional: dashboard/demo URL with credentials
+  # dashboard:
+  #   url: "https://janesmith.dev/demo"
+  #   password: "demo-2026"
+
+compensation:
+  target_range: "$150K-200K"     # Your target total comp
+  currency: "USD"
+  minimum: "$120K"               # Walk-away number
+  location_flexibility: "Remote preferred, 1 week/month on-site possible"
+
+location:
+  country: "United States"
+  city: "San Francisco"
+  timezone: "PST"
+  visa_status: "No sponsorship needed"
+  # For remote roles outside your country:
+  # onsite_availability: "1 week/month in any city"
+
+# Optional follow-up cadence preferences for `node followup-cadence.mjs`.
+# CLI flags still win for one-off runs (for example `--applied-days 10`).
+# followup_cadence:
+#   applied_first_days: 7
+#   applied_subsequent_days: 7
+#   applied_max_followups: 2
+#   responded_initial_days: 1
+#   responded_subsequent_days: 3
+#   interview_thankyou_days: 1
+
+cv:
+  output_format: "html" # "html" (default) or "latex"
+  # (Optional) Canva resume design ID for visual CV generation via /career-ops pdf.
+  # Find it in your Canva design URL: https://www.canva.com/design/DAxxxxxxx/...
+  # The ID starts with "D" and is 11 characters long.
+  # canva_resume_design_id: "DAxxxxxxxxx"
+
+# ── Cover Letter Settings ──────────────────────────────────────────────────
+#
+# Used by `/career-ops cover` and the cover letter sub-flow in `/career-ops pdf`.
+# All fields are optional — omit any you don't need.
+
+cover_letter:
+  # Your notice period in calendar days. Surfaced as a prompt default when the
+  # JD requests an immediate start. The user confirms the actual value before it
+  # appears in the letter.
+  notice_period_days: 30
+
+  # Your current professional domain (used to detect domain gaps vs the JD).
+  # Plain English, e.g. "digital media", "fintech", "healthcare IT".
+  primary_domain: "your current domain"
+
+  # Languages you are actively learning. Each entry MAY produce a closing
+  # sentence in that language IF the JD location matches one of the listed
+  # countries AND the user confirms inclusion during the cover letter flow.
+  # Remove the block entirely if not applicable.
+  language_learning:
+    - language: Spanish
+      current_level: B1
+      target_level: B2
+      target_date: "end of 2026"
+      # The sentence to include, written in that language. Keep it one line.
+      sentence: "Estoy aprendiendo español y espero alcanzar el nivel B2 a finales de 2026."
+      # Only trigger this entry when the JD location is in one of these countries.
+      countries: [Spain, Mexico, Argentina, Colombia, Chile]
+
+# ── Contact Preferences ──────────────────────────────────────────────────────
+#
+# Used by `/career-ops contacto` (outreach CTA) and `/career-ops email` (contact
+# block) to steer drafted messages toward how you actually want to be reached.
+# Optional. Omit the whole block, or set preferred_channel to "either", to keep
+# today's behavior unchanged (no channel steering).
+#
+# contact_preferences:
+#   preferred_channel: "email"   # email | phone | either — default "either" if omitted
+#   # Optional. Surfaced near the contact block in `/career-ops email` drafts and
+#   # can inform the CTA wording in `/career-ops contacto`. Keep it one line.
+#   note: "Screens unknown numbers — please email or text first to schedule a call"
+
+# ── Outreach / greeting ─────────────────────────────────────────────────────
+#
+# Used by the greeting variant of `/career-ops contacto` (the short first-touch
+# message for BOSS Zhipin 打招呼, job-board chat, or a cold-email opener).
+#
+# greeting_max_chars is the hard character budget for that message. Default when
+# the key is absent: 150 (BOSS Zhipin's greeting limit). Raise or lower it to
+# match the platform you're messaging on.
+# outreach:
+#   greeting_max_chars: 150
+
+# ── Application Email Drafts ────────────────────────────────────────────────
+#
+# Used by `/career-ops email` when drafting formal application emails. This is
+# separate from `contacto` short outreach and `cover` full cover letters.
+# All fields are optional.
+#
+# application_email:
+#   include_contact_block: true
+#   include_attachment_checklist: true
+#   # Use this when you want the email body to say "the email used to send this
+#   # message" instead of printing a concrete email address from candidate.email.
+#   # default_sender_note: "the email used to send this message"
+#   # signature_name: "Jane Smith"
+
+# ── Auto-PDF threshold ──────────────────────────────────────────────────────
+#
+# Auto-PDF threshold during evaluation (used by `/career-ops pipeline` and
+# `bash batch/batch-runner.sh`).
+#
+# An offer's tailored CV PDF is auto-generated only when its score is
+# >= this threshold. Generating a PDF costs ~30-60s per offer (Playwright
+# launch + HTML render), and most offers in a scan score 2.x/3.x and never
+# become an actual application — so the gate avoids wasted renders.
+#
+# Default (key absent OR commented out): 3.0 — the original gate of
+# `/career-ops pipeline`. Both evaluation paths apply the same default, so
+# a batch run and an interactive run treat the same offer identically.
+#
+# Raise it (e.g. 4.0) to auto-generate PDFs only for stronger matches and
+# leave the rest report-only — those can still be produced on demand via
+# `/career-ops pdf {company-slug}`. Fractional thresholds work (e.g. 3.5 —
+# half-point scores like 3.5/5 occur in evaluations). Set it to 0 to
+# generate a PDF for every offer.
+# auto_pdf_score_threshold: 4.0
+
+# ── Re-apply Cooldown Windows ──────────────────────────────────────────────
+#
+# Define cooldown windows for companies where you've recently applied.
+# The scanner will skip new postings at these companies during the window.
+#
+# re_apply_windows:
+#   CompanyA:
+#     same_role_days: 180
+#     cross_role_bucket: "all_EM_roles"
+#     applied_to: ["Senior Software Engineer"]
+#     last_apply_date: "2026-01-01"