/review — Multi-Persona Resume Review

Purpose

Invoke up to 7 independent review personas, each evaluating the resume from their professional perspective. Enrich every persona with all available prior context (company research, match analysis, qualification, tailoring decisions, scores) so reviews are informed rather than cold reads. Consolidate into prioritized action items.

Personas

1. ats-bot — ATS parser simulation (keyword parsing, format compliance)
2. recruiter — 6-second scan (first impression, standout bullets)
3. hiring-manager — Technical depth (domain expertise, impact, "would I interview?")
4. hr-screener — Compliance (gaps, red flags, culture fit)
5. technical-reviewer — Peer review (technical accuracy, overstatement)
6. engineer-peer — Staff/principal engineer (architecture depth, hands-on signal, overclaim detection)
7. sales-strategist (conditional) — B2B sales lens: selling solutions vs. features (only when a CompanyProfile exists at knowledge/sessions/{slug}/company.yaml for the target company)

Process

Step 1 — Prepare Context

Read resume.yaml (and optionally a JD for targeted feedback).