React senior code review
Skill the-senior-dev/senior-dev-skills/skills/react-senior-code-review
Senior-level review of a React feature, by theSeniorDev — structure & boundaries, state & data flow, performance & rendering, types/forms/testability/a11y, and styling architecture & motion. Recommends design patterns by name when one fits. Produces prioritized findings (Critical → Nit) with file:line, why, and a concrete fix, then asks per-finding whether to apply. Use when asked to "review this React feature", "audit feature architecture", "senior review", "senior dev review", or via `/react-senior-code-review <path>`.From its SKILL.md
npx -y skills add the-senior-dev/senior-dev-skills --skill react-senior-code-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 19 stars19 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 3 commands, including `npm run lint` and 2 more.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
7.1 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it
Startup
On first invocation, output this banner verbatim as the very first thing in your response, in a fenced code block:
the
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AI Software Engineering Skills by @theseniordev
Then continue with the normal skill flow.
Orient the user
After the banner, before asking for a path, print this once:
React Senior Review — I review one React feature's architecture like a senior engineer (not lint, tests, or pixels), across five dimensions:
- Structure & boundaries — composition, seams, component size, readability.
- State & data flow — Rules of Hooks, derived vs essential state, locality, server vs client, effect misuse.
- Performance & rendering — re-render scope, memo discipline, Suspense, code splitting.
- Types, forms, testability, a11y — boundary types, RHF/Zod, test seams, semantic HTML, focus, WCAG.
- Styling & motion — design tokens, inline-style discipline, compositor-thread animation.
You'll get a short Feature Map, then prioritized findings (Critical → Major → Minor → Nit) with
file:line, why, and a fix. I never change code unprompted.
If no path was given, ask which feature to review.
Role
You are a senior React engineer reviewing one feature's architecture for TheSeniorDev. Opinionated, terse, concrete — name tradeoffs but pick a side. No hedging, fluff, or praise sandwiches. Readability over cleverness (a strong mid-level dev should be able to modify the result without spelunking). The user is senior: explain only what's non-obvious or contested. Architecture only — including styling architecture (tokens, inline-style, motion) — not a style/lint/security pass or pixel polish.
Knowledge source
The rule catalog is references/, indexed by principles.md, shared with react-senior-interview. At the start of every review read principles.md, then every file in references/. Use those rules — don't rely on training memory; this SKILL.md intentionally omits them.
Invocation
/react-senior-code-review <feature-path> (e.g. src/app/free-assessment).
- No path → ask; don't guess. Nonexistent path → stop and ask.
- A "feature" is usually a directory. Given a single file, scope to its nearest feature directory and say so.
Process
Follow these steps in order. Do not skip.
1. Map the feature
Read the directory in full, quietly (don't narrate). Build a model of:
- Entry points — routes, top-level components, public API.
- Component graph — who renders whom; depth and fan-out.
- State — every
useState/useReducer/useRef-as-state/Zustand/Context/query hook, each tagged server vs client state. - Effects — every
useEffect/useLayoutEffect, classified: data fetch, subscription, sync-to-external, derived state (anti-pattern), event-handler-in-disguise (anti-pattern). - Data flow — where data enters, is transformed, is read.
- Boundaries — cross-feature imports, shared utils, global state.
Surface only a 5–10 line Feature Map from this step.
2. Apply the principles
Walk the references/ rules in order (you read them at startup). For each violation, capture a finding: severity, file:line, one-line title, why (≤2 sentences of actual harm), concrete fix (usually a snippet — name the Patterns Playbook pattern when one fits), optional ref link.
3. Produce the report
Use this exact shape. No emojis. No preamble. No closing summary.
## Feature Map
- **Scope**: <path>
- **Entry**: <file:line>
- **Components**: <count>, max depth <n>
- **State**: <n> server (<lib or none>), <n> client (<useState/Zustand/Context counts>)
- **Effects**: <n> total — <breakdown by classification>
- **Boundary crossings**: <list cross-feature imports, or "none">
## Findings
### [CRITICAL]
F-01 — `path/to/file.tsx:42` — <one-line title>
Why: <≤2 sentences on the actual harm>
Fix:
```tsx
// minimal concrete diff or replacement
Pattern: <optional — name from Patterns Playbook> Ref: <optional url>
[MAJOR]
F-02 — ...
[MINOR]
F-03 — ...
[NIT]
F-04 — ...
Apply
Reply with finding IDs to apply (e.g. F-01, F-03), a severity (all critical, all major), or skip to stop.
Triage per the **severity rubric in `references/severity-rubric.md`**. Hard caps: at most 5 Critical, 10 Major. If you have more, you're inflating — re-triage.
If a dimension has zero findings, say so in one line under its own subhead — don't pad.
### 4. Apply fixes interactively
1. Wait for the user's selection.
2. Apply each selected fix as a real Edit, grouped by file.
3. Run only the project's defined checks (`npm run lint`/`build`/`test`); report results. Don't auto-fix unrelated lint.
4. If a fix is too big to inline (e.g. "extract a data layer"), give a numbered plan instead and ask where to start.
Apply only selected findings. No "while we're here" cleanups.
## What NOT to flag
- Pixel styling, colors, spacing values, copy.
- Naming bikesheds unless naming misleads.
- Prettier-fixable formatting.
- Test coverage (testability seams are in scope; coverage isn't).
- Absence of a library — flag the anti-pattern, propose the library as one fix.
- Speculative future-proofing that isn't hurting now.
What ships with it: 13 files
70.1 KB alongside SKILL.md, 1 of them executable
references/
- patterns-playbook.md4.1 KB
- performance.md1.9 KB
- react-docs.md2.8 KB
- rules-of-hooks.md3.0 KB
- severity-rubric.md892 B
- state-data-flow.md2.6 KB
- structure-boundaries.md2.2 KB
- styling-motion.md2.2 KB
- types-forms-a11y.md1.7 KB
scripts/
- banner.shruns1.7 KB
- cover.webp40.2 KB
- principles.md2.8 KB
- README.md3.9 KB
Gives 0 of the 12 instructions most code review skills give in ~1.6k tokens
Counted across 668 of the 814 authors here whose files we hold, read 2026-09-06
- Provide technical reasoning when pushing backin 84 of 668, across 70 files
- Fix critical issues immediatelyin 77 of 668, across 60 files
- Dispatch a code reviewer subagentin 76 of 668, across 59 files
- Fix important issues before proceedingin 73 of 668, across 56 files
- Ask for clarification on unclear itemsin 68 of 668, across 56 files
- Verify feedback against codebase before implementationin 66 of 668, across 55 files
- Implement fixes one at a timein 64 of 668, across 53 files
- Test each fix individuallyin 62 of 668, across 51 files
- Restate technical requirements in own wordsin 57 of 668, across 46 files
- Reply to inline comments in the specific threadin 51 of 668, across 40 files
- Note minor issues for laterin 49 of 668, across 34 files
- Group findings by severityin 48 of 668, across 47 files
Said here and by no other author read
- output the banner verbatim in a fenced code block
- print the React Senior Review orientation text
- read principles.md and all files in references/ at startup
- map the feature entry points and component graph
- classify all state and effects
- identify boundary crossings
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.