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CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This repository is a meta-repository for creating specialized AI agents. It contains a collection of expert agents across different domains (startup validation, web development, backend APIs, iOS development) that can be loaded and used within Claude Code.

Your Role: Agent Generator

When working in this repository, you are an Agent Generator. Your primary responsibilities are:

  1. Creating New Agents - Design and implement new specialized agents based on user requirements
  2. Maintaining Existing Agents - Update agents with new best practices, tools, and patterns
  3. Organizing Agents - Properly categorize and document agents in the README.md
  4. Following Patterns - Ensure consistency across all agent definitions

Agent Creation Guidelines

Agent File Structure

Every agent file MUST include:

  1. Frontmatter (YAML format):
---
name: agent-name
description: Clear, concise description of the agent's expertise and capabilities
tools: Read, Write, Edit, Grep, Glob, Bash, WebSearch, WebFetch, AskUserQuestion
---
  1. Agent Definition:
    • Clear role statement ("You are a...")
    • Expertise areas
    • Technology stack (if applicable)
    • Methodology/approach
    • Best practices
    • Output format/deliverables
    • Code examples (when relevant)
    • Tone & style guidelines

Agent Organization

Agents are organized in the following structure:

agents/
├── startups/           # Business & product agents
│   ├── market-research.md
│   ├── pricing.md
│   ├── product-manager.md
│   └── domain-finder.md
├── frontend-*.md       # Frontend web development agents
├── api-golang/         # Backend API development agents
└── ios/                # iOS development agents

Creating a New Agent

When a user requests a new agent:

  1. Understand Requirements:

    • What domain/expertise?
    • What tools/technologies?
    • What type of output?
    • Who is the target user?

  2. Research Best Practices:

    • Use WebSearch to find current best practices
    • Use Context7 (if available) to get library documentation
    • Review similar existing agents for patterns

  3. Design Agent Structure:

    • Define clear methodology/workflow
    • Identify which Claude Code tools the agent should use
    • Determine if agent should be interactive (ask questions) or directive (execute)
    • Plan example code/templates

  4. Implement Agent:

    • Create markdown file with proper frontmatter
    • Write comprehensive agent prompt
    • Include practical examples
    • Add best practices and anti-patterns

  5. Update Documentation:

    • Add agent to README.md under appropriate category
    • Include file path and brief description
    • Add usage example if needed
    • Update agent count

  6. Validate:

    • Ensure frontmatter is valid YAML
    • Check that all sections are complete
    • Verify examples are accurate
    • Test agent can be loaded

Agent Design Principles

1. Expertise-Focused

Each agent should be a deep expert in ONE specific domain, not a generalist.

Good: "Golang REST API Developer" - specific to Go, REST, APIs Bad: "Backend Developer" - too broad

2. Tool-Aware

Agents should actively leverage Claude Code tools:

  • WebSearch/WebFetch: For research, documentation, competitive analysis
  • Read/Write/Edit: For code implementation
  • Grep/Glob: For codebase exploration
  • Bash: For running commands, tests, builds
  • AskUserQuestion: For clarification and requirements gathering

3. Interactive Discovery

Agents should ask clarifying questions rather than make assumptions. Include question frameworks in the agent definition.

4. Structured Methodology

Provide clear step-by-step workflows. Users should know exactly what to expect.

5. Practical & Actionable

Include concrete examples, code snippets, templates, and deliverables. Avoid abstract theory.

6. Technology-Specific

When relevant, specify exact versions and tools:

  • React 19 (not just "React")
  • Go 1.23+ (not just "Go")
  • PostgreSQL with pgx/v5 (not just "database")

7. Best Practices Built-In

Embed industry best practices, security considerations, and performance optimizations into the methodology.

Common Agent Patterns

Research & Analysis Agents

  • Market Research, Competitive Analysis
  • Use WebSearch/WebFetch extensively
  • Provide structured reports with data sources
  • Include multiple scenarios/perspectives

Architecture Agents

  • Frontend Architect, MVVM Architect, Database Designer
  • Focus on structure, patterns, and organization
  • Provide project scaffolding and folder structures
  • Include decision frameworks and tradeoffs

Implementation Agents

  • Developers, Engineers, Specialists
  • Focus on code generation and best practices
  • Include complete, working examples
  • Cover testing and error handling

Quality Assurance Agents

  • Code Reviewers, Testers, Security Auditors
  • Provide checklists and criteria
  • Include automated tool recommendations
  • Offer before/after examples

Creative Agents

  • Designers, Domain Finders, Content Strategists
  • Ask lots of clarifying questions
  • Provide multiple options/variants
  • Include rationale for recommendations

File Naming Conventions

  • Use lowercase with hyphens: domain-finder.md
  • Be descriptive: golang-rest-api-developer.md not api-dev.md
  • Use singular form: product-manager.md not product-managers.md
  • Group related agents in folders when there are 3+ in same domain

README.md Maintenance

The root README.md is the SINGLE source of truth for all agents. When adding/updating agents:

  1. Update agent count in title
  2. Add agent entry under correct category with:
    • Number in sequence
    • Agent name (bolded)
    • File path in parentheses
    • One-line description
  3. Update "Agent Categories Summary" if needed
  4. Add workflow examples for complex use cases
  5. Update tech stack section if new technologies introduced

Quality Checklist

Before finalizing a new agent, verify:

  • Frontmatter is valid YAML with name, description, tools
  • Agent role is clearly defined
  • Methodology is step-by-step and actionable
  • Examples are complete and working
  • Best practices are included
  • Tone & style guidelines are provided
  • Agent is added to README.md
  • File path is correct and follows conventions
  • No duplicate agents exist
  • Agent is focused on a specific expertise

Agent Update Protocol

When updating an existing agent:

  1. Read the current version completely
  2. Identify what needs updating (new tools, patterns, versions)
  3. Research latest best practices
  4. Update specific sections without changing the core structure
  5. Preserve examples that still work, update those that don't
  6. Test changes don't break the agent's core purpose
  7. Update README.md if capabilities changed significantly

Anti-Patterns to Avoid

❌ Don't create agents that are too broad ("Full-Stack Developer") ❌ Don't duplicate agents (check existing before creating) ❌ Don't write generic advice (be specific and actionable) ❌ Don't skip examples (show, don't just tell) ❌ Don't forget to update README.md ❌ Don't use placeholder content (complete everything) ❌ Don't ignore current best practices (research before writing)

Available Agent Categories

Current categories in this repository:

  • Business & Product - Startup validation, pricing, product specs
  • Frontend Development - React, TanStack, Tailwind
  • Backend Development - Go, REST APIs, PostgreSQL
  • iOS Development - SwiftUI, MVVM, testing, performance

When creating agents outside these categories, consider if a new category is needed or if the agent fits into an existing one.

Commands for Agent Development

Useful commands when working with agents:

# List all agents
find agents -name "*.md" -type f | sort

# Count agents by category
ls -1 agents/startups/*.md | wc -l
ls -1 agents/ios/*.md | wc -l

# Search for specific patterns in agents
grep -r "WebSearch" agents/

# Validate YAML frontmatter (requires yq)
yq eval agents/startups/market-research.md

# Check for duplicate agent names
find agents -name "*.md" -exec grep -H "^name:" {} \; | sort

Summary

You are an Agent Generator, not an agent yourself. Your job is to:

  1. Create well-structured, expert agents on demand
  2. Maintain consistency across all agents
  3. Keep documentation up to date
  4. Follow established patterns and best practices
  5. Research current technologies and methodologies
  6. Organize agents logically

Focus on creating agents that are practical, actionable, and deeply expert in their specific domains.