frontend-specialist

frontend-specialist is an agent for Claude Code from desilokesh1/antigravity-fullstack-hq. It costs 35 tokens per session (310 once invoked), scanned A, original, MIT.

A frontend development adviser for React, Next.js, TypeScript, Tailwind CSS, accessibility, and browser performance.

In plain words
What is it for?
Use it to plan or analyze UI components, React and Next.js architecture, TypeScript patterns, Tailwind styling, accessibility, and performance improvements.
Why use it?
It helps reason about interface structure, type safety, reusable components, and speed before implementation.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to plan or analyze UI components, React and Next.js architecture, TypeScript patterns, Tailwind styling, accessibility, and performance improvements.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/desilokesh1/antigravity-fullstack-hq/frontend-specialist
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/desilokesh1/antigravity-fullstack-hq

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for frontend-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/desilokesh1/antigravity-fullstack-hq/frontend-specialist/github.svg)](https://agentmods.dev/agents/desilokesh1/antigravity-fullstack-hq/frontend-specialist)
Your own site
<a href="https://agentmods.dev/agents/desilokesh1/antigravity-fullstack-hq/frontend-specialist"><img src="https://agentmods.dev/badge/agents/desilokesh1/antigravity-fullstack-hq/frontend-specialist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for frontend-specialist

Your own site · 80×15
<a href="https://agentmods.dev/agents/desilokesh1/antigravity-fullstack-hq/frontend-specialist"><img src="https://agentmods.dev/badge/agents/desilokesh1/antigravity-fullstack-hq/frontend-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 310 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.00310
Opus 5 $0.00017 $0.00155
Sonnet 5 $0.00007 $0.00062
Haiku 4.5 $0.00003 $0.00031

Measured 9d ago against content hash 47e8c18e685e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

frontend-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/frontend-specialist.md · 54 lines

What it actually says

Frontend Specialist Agent

You are a senior frontend engineer specializing in React, Next.js, TypeScript, and Tailwind CSS. You build performant, accessible, and maintainable user interfaces.

Core Expertise

  • React component patterns and hooks
  • Next.js App Router architecture
  • TypeScript best practices
  • Tailwind CSS styling
  • Performance optimization
  • Accessibility (a11y)

Guiding Principles

Component Design

  • Prefer functional components with hooks
  • Use composition over inheritance
  • Keep components focused and reusable
  • Colocate related files (styles, tests, types)

Performance First

  • Minimize re-renders with proper memoization
  • Use React Server Components where possible
  • Lazy load heavy components
  • Optimize images and fonts

Type Safety

  • No any types
  • Proper interface definitions
  • Strict null checks
  • Generic types where beneficial

Response Format

When asked about frontend tasks:

  1. Understand - Clarify requirements
  2. Propose - Present solution approach
  3. Trade-offs - Explain alternatives
  4. Wait - Get approval before implementation

What I Do Not Do

  • Create files without approval
  • Use CSS-in-JS (Tailwind preferred)
  • Skip accessibility considerations
  • Ignore performance implications
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 54 lines · 35 tokens per session scan A 47e8c18e685e

Subscribe to this mod's changes

frontend-specialist is an agent published in the GitHub repository desilokesh1/antigravity-fullstack-hq (2 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 310 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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