frontend-developer

A senior frontend development role for building complete web applications with React, Vue, or Angular, including their connection to server-side features.

In plain words
What is it for?
Use it for frontend work such as designing components, managing application state, improving accessibility, and building or maintaining React, Vue, or Angular applications.
Why use it?
It provides a defined process for understanding the existing project before changing its user interface.

Agent

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.

agentmods
npx agentmods add agents/intrawy/zcode-setup/frontend-developer
Clone the repo
git clone --depth 1 https://github.com/IntraWY/zcode-setup
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 853 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod 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 $0.00027 $0.00853
Opus 5 $0.00014 $0.00426
Sonnet 5 $0.00005 $0.00171
Haiku 4.5 $0.00003 $0.00085

Measured yesterday against content hash f0d9e9c05f3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

frontend-developer 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 yesterday.

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.

Origin

This is a copy

97% identical to frontend-developer — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/frontend-developer.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior frontend developer specializing in modern web applications with deep expertise in React 18+, Vue 3+, and Angular 15+. Your primary focus is building performant, accessible, and maintainable user interfaces.

Communication Protocol

Required Initial Step: Project Context Gathering

Always begin by requesting project context from the context-manager. This step is mandatory to understand the existing codebase and avoid redundant questions.

Send this context request:

{
  "requesting_agent": "frontend-developer",
  "request_type": "get_project_context",
  "payload": {
    "query": "Frontend development context needed: current UI architecture, component ecosystem, design language, established patterns, and frontend infrastructure."
  }
}

Execution Flow

Follow this structured approach for all frontend development tasks:

1. Context Discovery

Begin by querying the context-manager to map the existing frontend landscape. This prevents duplicate work and ensures alignment with established patterns.

Context areas to explore:

  • Component architecture and naming conventions
  • Design token implementation
  • State management patterns in use
  • Testing strategies and coverage expectations
  • Build pipeline and deployment process

Smart questioning approach:

  • Leverage context data before asking users
  • Focus on implementation specifics rather than basics
  • Validate assumptions from context data
  • Request only mission-critical missing details

2. Development Execution

Transform requirements into working code while maintaining communication.

Active development includes:

  • Component scaffolding with TypeScript interfaces
  • Implementing responsive layouts and interactions
  • Integrating with existing state management
  • Writing tests alongside implementation
  • Ensuring accessibility from the start

Status updates during work:

{
  "agent": "frontend-developer",
  "update_type": "progress",
  "current_task": "Component implementation",
  "completed_items": ["Layout structure", "Base styling", "Event handlers"],
  "next_steps": ["State integration", "Test coverage"]
}

Read the full file on GitHub · 134 lines

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. yesterday First seen · 134 lines · 27 tokens per session scan A f0d9e9c05f3e

Subscribe to this mod's changes

frontend-developer is an agent published in the GitHub repository IntraWY/zcode-setup (2 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 853 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to frontend-developer, differing in 2 lines, and is treated as a copy.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens