Agent skill

Frontend Review Performance

by mizchi in mizchi/skills

A skill your agent uses when reviewing React rendering performance — profiler-first diagnosis, memo/useCallback/useMemo correctness, virtual scroll, useTransition/useDeferredValue, and canvas/WebGL…

No licenceAuto-check passedGame Development

Install Frontend Review Performance

skills CLI
$ npx skills add mizchi/skills --skill frontend-review-performance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mizchi/skills frontend-review-performance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mizchi/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/frontend-review-performance .claude/skills/frontend-review-performance && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
frontend-review-performance
GitHub stars
360
Token cost
~1.6k tokens
SKILL.md length
497 words
Files
2
Skills in repo
69
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when reviewing React rendering performance — profiler-first diagnosis, memo/useCallback/useMemo correctness, virtual scroll, useTransition/useDeferredValue, and canvas/WebGL…

  • Works in 5 steps: Check package.json for… → Grep for existing memo usage → Find the largest list-rendering… → …
  • Reviewing React rendering performance — profiler-first diagnosis
  • SKILL.md covers Procedure, Profiler-First Principle, Memoization Correctness and Virtual Scroll, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Frontend Review Performance is an agent skill from mizchi/skills. Use when reviewing React rendering performance — profiler-first diagnosis, memo/useCallback/useMemo correctness, virtual scroll, useTransition/useDeferredValue, and canvas/WebGL separation for data-heavy UIs. Covers checklist 24-rendering-performance.md.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Game Development, covering 3D graphics and WebGL and Performance optimization. It works with React. The repository describes itself as: Agent skills by mizchi, distributed via APM.

When your agent uses it

  • Reviewing React rendering performance — profiler-first diagnosis
  • Memo/useCallback/useMemo correctness
  • UseTransition/useDeferredValue
  • Canvas/WebGL separation for data-heavy UIs

Example prompts

  • “/frontend-review-performance”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check package.json for performance-related packages (@tanstack/react-virtual, react-window, @welldone-software/why-did-you-render, etc.).
  2. Grep for existing memo usage
  3. Find the largest list-rendering components (look for .map( on arrays with no size guard).
  4. Look for Context providers that change frequently and might cause wide re-renders.
  5. For iot-ops / map / chart apps: check whether heavy rendering is in React state or in a canvas/WebGL ref.

What it can do on your machine

Read from SKILL.md and the folder at commit 62f5808. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Frontend Review Performance loads about 1.6k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 497 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 497 words (~1,608 tokens).

“You are reviewing the rendering performance of a React frontend. The most common AI-generated problems are: applying memo / useCallback / useMemo everywhere without measuring (or never at all), missing virtual scroll on large lists, and Context changes re-rendering unrelated…”

— opening of SKILL.md by mizchi
name
frontend-review-performance

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in frontend-review-performance of mizchi/skills.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 62f5808

Compare with similar skills

Frontend Review Performance next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Frontend Review Performance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Frontend Review Performance this skillmizchi/skills360—~1.6kAutomated safety check: PassNone
Web CloneJane-xiaoer/claude-skill-web-clone1k1 repos~2.7kAutomated safety check: PassMIT
Improve Threejsmillionco/react-doctor15k—~2.3kAutomated safety check: PassCustom licence
23rdradiumcoders/23rd.dev145—~2.8kAutomated safety check: PassNone
Polycsslayoutit/polycss767—~2.4kAutomated safety check: PassMIT
R3f AnimationEnzeD/r3f-skills128—~1.1kAutomated safety check: PassNone

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Works with

Questions about Frontend Review Performance

What does Frontend Review Performance do?

A skill your agent uses when reviewing React rendering performance — profiler-first diagnosis, memo/useCallback/useMemo correctness, virtual scroll, useTransition/useDeferredValue, and canvas/WebGL…. Frontend Review Performance is an agent skill from mizchi/skills. Use when reviewing React rendering performance — profiler-first diagnosis, memo/useCallback/useMemo correctness, virtual scroll, useTransition/useDeferredValue, and canvas/WebGL separation for data-heavy UIs.

When should I use Frontend Review Performance?

Frontend Review Performance fits situations like: reviewing React rendering performance — profiler-first diagnosis; memo/useCallback/useMemo correctness; useTransition/useDeferredValue; canvas/WebGL separation for data-heavy UIs.

How do I install Frontend Review Performance in Claude Code?

Run `npx skills add mizchi/skills --skill frontend-review-performance -a claude-code`. Or copy the skill folder (frontend-review-performance in mizchi/skills) into .claude/skills/frontend-review-performance in your project. Claude Code loads it when a task matches its description.

How do I install Frontend Review Performance in Codex?

Run `npx skills add mizchi/skills --skill frontend-review-performance -a codex`. Or copy the skill folder (frontend-review-performance in mizchi/skills) into .agents/skills/frontend-review-performance in your project. Codex loads it when a task matches its description.

Can I use Frontend Review Performance in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mizchi/skills --skill frontend-review-performance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frontend-review-performance, .gemini/skills/frontend-review-performance, .github/skills/frontend-review-performance and .opencode/skills/frontend-review-performance in your project.

What does Frontend Review Performance need to run?

SKILL.md names no scripts, command-line tools or credentials: Frontend Review Performance is instructions for the agent only.

Does Frontend Review Performance access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Frontend Review Performance safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Frontend Review Performance use?

No licence was found for Frontend Review Performance or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Frontend Review Performance use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Frontend Review Performance?

Skills that share tags, products or a category with Frontend Review Performance: Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars), Improve Threejs (millionco/react-doctor, 15k stars), 23rd (radiumcoders/23rd.dev, 145 stars) and Polycss (layoutit/polycss, 767 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Frontend Review Performance?

mizchi (a GitHub user) maintains it in mizchi/skills, which has 360 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.

Source: mizchi/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.