Skip to content
AI & Agents
Skill

/named-persona-adversarial-review

Use when a PR has architectural or UX impact, or automated review feels generic, and you want it reviewed through named engineers' documented views (Torvalds, Thompson, Carmack, Beck, Jobs, Cagan). Cites the source for each persona's critique.

From plugin
claude-skills
30k200 skills127 agents169 commands2 MCP

Claude Code

$ npx -y skills add alirezarezvani/claude-skills --skill named-persona-adversarial-review --agent claude-code

SKILL.md

named-persona-adversarial-review.SKILL.md
name: "named-persona-adversarial-review"
description: "Use when a PR has architectural or UX impact, or automated review feels generic, and you want it reviewed through named engineers' documented views (Torvalds, Thompson, Carmack, Beck, Jobs, Cagan). Cites the source for each persona's critique."

Named-Persona Adversarial Review

> **TL;DR:** Abstract roles find abstract problems. Named engineers with *documented, sourced* philosophies find problems you would actually fix — as long as you cite the real principle and never invent the quote.

**Triggers:** "review this PR with real engineers" | "named persona review" | "philosophy-grounded review"

Example Output

CRITICAL [Torvalds]: Special-case error handling at auth.ts:47 duplicates the
  happy path. Torvalds' documented "good taste" principle: restructure so the
  special case disappears rather than adding a branch. (confidence: high — TED 2016)
WARNING  [Thompson]: parseConfig() does three unrelated things; the Unix
  "do one thing well" principle argues to split it. (confidence: high)
NOTE     [Jobs]: Error "EACCES:13" leaks an errno at the user surface; "start
  from the customer experience" argues for a human message. (confidence: high — WWDC 1997)
Verdict: CONCERNS — fix CRITICAL before merge.

Problem

Abstract adversarial review ("act as a saboteur") produces generic findings — the model imagines what a reviewer *might* say. This skill grounds each lens in a **real, sourced engineering philosophy** documented in [`references/persona_principles.md`](references/persona_principles.md): what Ken Thompson actually argued about trust, what Linus actually demonstrated about good taste — not what an AI imagines.

**How it differs from `adversarial-reviewer`:** abstract roles → surface-level findings; named, sourced personas → findings anchored to a documented principle you can cite and defend.

**Cost:** 1 round ≈ 8-12 min. Comparable to waiting for CI.

Attribution discipline (read this first — it is the load-bearing rule)

This skill puts named, real people's *principles* to work. That power is also its failure mode: **language models hallucinate quotes.** To stay honest:

1. **Cite the principle, not a fabricated verbatim quote.** Prefer paraphrasing a documented position ("Thompson's *Reflections on Trusting Trust* argues you can't trust code you didn't fully create") over inventing quotation marks around words the person may never have said. 2. **Attach a confidence level to every attribution** — `high` (documented, in `references/persona_principles.md` with a source), `moderate` (widely attributed, source not pinned), `low`/`unknown` (you're inferring). Mirrors `productivity/andreessen`'s citation discipline. 3. **If you cannot ground a persona's lens in a real source, drop that persona.** A confidently-wrong quote attributed to a living engineer is worse than one fewer reviewer. Never fabricate a citation to hit the "≥1 finding" bar. 4. **The finding must stand on its own technical merit.** The persona is a *lens that directs attention*, not the authority that makes the finding true. A real bug found "through Carmack's lens" is real because it's a bug, not because Carmack said so.

Rules

  • **Ground before role-play.** Anchor each persona in `references/persona_principles.md` (or a verifiable search) first. Ungrounded = invalid.
  • **Findings stand on technical merit**, with the persona's principle as the lens — see the discipline above.
  • **Product persona mandatory every round.** Engineers miss UX. Always include one.
  • **Honesty over quantity.** Don't fabricate findings *or* citations. Clean dimensions get reported clean (with the zero-finding burden below).
  • **Zero-finding burden.** "Looks fine" is only valid if you name 3+ principles the code demonstrably satisfies, and how. Non-findings are as expensive as findings.

Persona Pools

Each persona's documented principles + sources + confidence live in [`references/persona_principles.md`](references/persona_principles.md).

**Product** (pick 1 per round — mandatory):

| Persona | Documented principle | Best for | |---------|----------------------|----------| | Steve Jobs | Start from the customer experience, work back to the tech | UX, onboarding | | Marty Cagan | Fall in love with the problem, not the solution | PRDs, feature specs, scope creep | | Des Traynor (Intercom) | The first 30 seconds decide adoption | Docs, READMEs, quick starts |

**Engineers** (pick 2 per round):

| Persona | Documented principle | Best for | Blind spot | |---------|----------------------|----------|------------| | Ken Thompson | Trust boundaries; do one thing well | Architecture, supply chain, API | UX, docs | | Linus Torvalds | Eliminate the special case ("good taste"); never break userspace | Logic, data structures, compat | User empathy, DX | | John Carmack | Measure before you optimize; performance as craft | Algorithms, hot paths | Minimalism | | Kent Beck | Simple design; make it work → right → fast | Process, testability | Performance, security | | Fred Brooks | Essential vs. accidental complexity | System design, estimation | Low-level perf |

**Routing (which personas when):**

  • Code correctness → Torvalds + Carmack + Jobs
  • Architecture / design → Thompson + Brooks + Cagan
  • Documentation / API → Thompson + Beck + Traynor
  • Performance → Carmack + Torvalds + Jobs
  • Security / supply chain → Thompson + Torvalds + Cagan
  • 1st round on any PR → Torvalds + Thompson + Jobs (broadest coverage)

Severity Levels

| Level | Definition | Action | |-------|-----------|--------| | BLOCKER | 2+ personas concur on a CRITICAL, or security / data-loss risk | Fix before any further work | | CRITICAL | Wrong result, data loss, security hole, or violated core invariant | Fix before merge | | WARNING | Fragile, misleading, or likely to cause future bugs | Fix, or explain if deferred | | NOTE | Improvement that doesn't affect correctness | Optional; record for follow-u

Read more
@alirezarezvani
Ships withclaude-skills

411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.

30k200 skills127 agents2 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
29.6k
Star history of alirezarezvani/claude-skills on GitHub, a chart by star-history.com

Other skills on claude-skills.

interview

interview

Use when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and…

More skills from other plugins.

1password

1password

Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.

openclaw13d393k
@openclaw@openclawInstall Skill

Questions about named-persona-adversarial-review.

Which coding agents can use named-persona-adversarial-review?
named-persona-adversarial-review installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.