← ClaudeAtlas

multi-persona-reviewlisted

A panel-review skill that critiques ONE artifact (launch post, README, doc, markdown, plan, design) via 3-5 disjoint user-perspective personas running in parallel, then synthesizes deduped, severity-ranked improvement points (P0/P1/P2). Use when the user says "작성글을 사용자 관점의 페르소나를 여러명 만들어서 (손넷 모델정도로) 피드백 받아바", "다면 리뷰 해볼까", "페르소나로 리뷰", "여러 관점으로 피드백", or in English "multi-persona review", "review this from different user perspectives", "get persona feedback on this post/README/doc", "panel review this artifact". Lighter than a full service audit — point it at ONE artifact, not a whole codebase. NOT for a whole-codebase multi-dimension audit (use ultracode-service-audit) or a single-axis gap-vs-benchmark loop (use gap-analysis-e2e).
uzysjung/uzys-agent-harness · ★ 3 · Code & Development · score 69
Install: claude install-skill uzysjung/uzys-agent-harness
# Multi-Persona Review (다면페르소나 워크플로우 리뷰) Run a small panel of realistic target-user personas over one artifact, independently and in parallel, then synthesize their findings into a deduped, prioritized fix list. This is how the user actually works: "작성글을 사용자 관점의 페르소나를 여러명 만들어서 손넷 모델정도로 피드백 받아바" and "이부분도 다면 리뷰 해볼까?" — 4-5 Sonnet-tier personas across 1-2 passes over a launch post, yielding P0~P2 prioritized fixes. ## When to use - A draft is "done" but you want blind spots an author is fatigue-blind to: launch post, README, PRD/plan, doc, marketing copy, a design. - The user names personas or "다면 리뷰" / "여러 관점" / "multi-persona" / "panel review". - You want **reproducible, severity-ranked** feedback, not one reviewer's gut reaction. Do **not** use this for whole-codebase quality work — that's `ultracode-service-audit`. This skill is deliberately lighter: one artifact, one panel, one synthesis. For surfacing missing user journeys end-to-end, this feeds the UX lens of `gap-analysis-e2e`. ## Why a panel beats one reviewer (the evidence) The whole method rests on one empirical fact: **independent reviewers find largely non-overlapping problems.** - **Heuristic Evaluation (Nielsen & Molich) + the 3-5 evaluator rule** — a single evaluator catches only ~35% of usability issues; aggregating independent evaluators raises coverage to ~85% at five, with sharp diminishing returns beyond. The value comes from *low overlap between perspectives*, not any one reviewer being thor