cv-tailorlisted

# cv-tailor — targeted CV (drafter half) ## Precedent A drafter writes; a fresh-context reviewer critiques; the drafter revises. Output is compiled and visually checked before it is shown. ## Inputs `profile/05-cv-source.md`, `profile/03-writing-style.md`, `career_facts.yaml`, the target JD. ## Flow 1. Parse the JD; extract must-hit keywords and the real scope behind them. 2. Draft the CV by **selecting and reordering** from the master source — never adding. 3. **Relevance-weighted cutting** when it overflows 2 pages: score each line by (a) relevance to this posting, (b) uniqueness in the doc, (c) whether the cover letter depends on it — cut the lowest total first. An older bullet that hits posting keywords survives ahead of a recent bullet that doesn't. 4. Spawn the **Reviewer subagent** (fresh context) to critique; revise. 5. **Honesty gate**: `python honesty/verify.py <draft>` — must exit 0 before presenting. 6. If compiling to PDF (LaTeX), **render and visually inspect**: exactly 2 pages, no orphaned titles, fonts consistent. Fix layout (`\needspace`, `\enlargethispage`) and re-check. 7. Present with a verification checklist. Applying stays the human's job. ## Hard rule Every claim traces to `career_facts.yaml`. The gate is not optional.