| name | auto-pipeline |
| description | Full automatic pipeline — paste a JD URL or text and get evaluation, report, PDF, draft answers, and tracker entry. Triggers on auto-pipeline, full pipeline, evaluate and apply, end to end. |
Auto-Pipeline — Full Automatic Pipeline
Read ~/.openclaw/workspace/skills/career-ops/references/scoring-system.md first.
Data Paths
- CV:
~/.openclaw/workspace/career-ops-data/cv.md
- Profile:
~/.openclaw/workspace/career-ops-data/config/profile.yml
- Reports:
~/.openclaw/workspace/career-ops-data/reports/
- Tracker:
~/.openclaw/workspace/career-ops-data/data/applications.md
- Output:
~/.openclaw/workspace/career-ops-data/output/
Workflow
Step 0 — Extract JD
If URL: Use Playwright (preferred) → WebFetch (fallback) → WebSearch (last resort). If text: use directly.
Step 1 — A-G Evaluation
Execute full evaluation (see evaluate skill). Include Block G Legitimacy.
Step 2 — Save Report
Save full evaluation in reports/{###}-{company-slug}-{YYYY-MM-DD}.md. Include URL: and Legitimacy: in header.
Step 3 — Generate PDF
Read config/profile.yml. Check cv.output_format:
- If
"latex", execute LaTeX pipeline (see latex skill)
- Otherwise, execute HTML/PDF pipeline (see pdf skill)
Run: node ~/.openclaw/workspace/skills/career-ops/scripts/generate-pdf.mjs
Step 4 — Draft Application Answers (only if score >= 4.5)
If score >= 4.5:
- Extract form questions (Playwright or generic)
- Generate responses following "I'm choosing you" tone
- Save as section H in the report
Tone rules:
- Confident without arrogance
- Specific and concrete — reference something REAL from JD and something REAL from CV
- Direct, no fluff, 2-4 sentences per response
- The hook is the proof, not the statement
Step 5 — Update Tracker
Record in data/applications.md with all columns. If any step fails, continue and mark as pending.
German Mode
Read references/german-locale.md for DACH-specific checks.
