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/cs:frontend-review — Frontend engineering review — measured AI agent skill | DecimalAI

alirezarezvani/csfrontend-review-frontend-engineering-review

SkillScore86Maintained

Frontend engineering review — walks the 7 Matt Pocock forcing questions (device, LCP target, rendering, bundle budget, SEO vs auth, design system, WCAG), picks the framework + rendering profile, forks into specialists (a11y-audit, performance-profiler, epic-design). Invokes the cs-frontend-engineer agent with context fork.

by alirezarezvani

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Frontend / UI pack

decimalai skills pull alirezarezvani-csfrontend-review-frontend-engineering-review

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curl -fsSL https://app.decimal.ai/s/alirezarezvani-csfrontend-review-frontend-engineering-review/SKILL.md

Raw file: /s/alirezarezvani-csfrontend-review-frontend-engineering-review/SKILL.md ↗ · machine-readable summary at /s/alirezarezvani-csfrontend-review-frontend-engineering-review.json ↗

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how this skill behaves on real traffic · last 30 days

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Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 5d ago

Yes — +59% lift-19% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-07	✗→✓	▲ Improved	-26%	0%
case-08	✗→✓	▲ Improved	-19%	0%
case-09	✗→✓	▲ Improved	-15%	0%
case-10	✗→✓	▲ Improved	-37%	0%
case-11	✗→✓	▲ Improved	14%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

alirezarezvani / claude-skills

.gemini/skills/cs-frontend-review/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

/cs:frontend-review — Frontend engineering review

Use the cs-frontend-engineer agent (uses context: fork) to handle this inquiry:

$ARGUMENTS

Forcing-question library

Canonical source: engineering-team/skills/senior-frontend/references/forcing_questions.md (7 questions, one-per-turn, recommendation + canon citation per question).

Primary device + network (desktop-fiber / mobile-4G / low-end Android / corporate)
LCP target on primary device (milliseconds)
Server Components vs SPA vs SSR vs SSG
JS bundle budget per route (KB gzipped)
SEO-dependent or auth-walled
Design-system location (Figma + tokens / ad-hoc Tailwind / headless UI)
WCAG target (AA / AAA / best-effort) + accessibility owner

Routing protocol

Walk the 7 forcing questions in engineering-team/skills/senior-frontend/references/forcing_questions.md. One per turn. Recommend with cited canon. Track in /tmp/frontend-grill-<date>.md.
Surface kill criteria — e.g., "SEO-dependent + SPA-only" trips. STOP and resolve.
Run the deterministic profile picker:

bash python engineering-team/skills/senior-frontend/scripts/frontend_decision_engine.py \ --primary-device <mobile-4g|desktop-fiber|low-end-android|corporate-network> \ --lcp-target-ms <N> --seo-dependent <true|false> \ --auth-walled <true|false> --team-size <N>

Surface the matched profile + runner-up tradeoff (if within 15%).
Fork into specialists (one at a time, depth-first):

a11y-audit for WCAG baseline (always)
performance-profiler for CWV baseline + bundle audit
epic-design only for astro-or-static marketing surfaces
apple-hig-expert only for Apple-platform-native surfaces
dependency-auditor before any major release
cs-karpathy-reviewer before any commit

Output expectations (≤ 200-word digest)

Matched profile + reason
Three CWV targets (LCP, INP, CLS) at p75 on the primary device
Per-route JS bundle budget in KB-gzip
Named a11y owner
List of specialists invoked + artifact paths
Recommended next sub-skill

Anti-patterns

❌ Recommending Next App Router as a universal default. Device + SEO + auth decide rendering.
❌ Setting "fast" as a target. Pick a number in ms.
❌ Skipping a11y-audit on customer-facing surface.
❌ Reimplementing perf-profiling logic. Fork into performance-profiler.

Customization

Profiles live at engineering-team/skills/senior-frontend/profiles/. Four built-in: next-app-router, remix-or-sveltekit, vite-spa, astro-or-static. Copy one to <your-org>.json and adjust to add your org's defaults.

Related commands

/cs:fullstack-review — full-stack lens (parent)
/cs:backend-review — for API contract on the consumer side
/cs:engineer-grill — cross-role 21-question grill
/karpathy-check — Karpathy 4-principle review

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Other measured skills in the registry, with their headline benchmark lift.