Redesigned all 7 .md documentation files to match MASTER-PROMPT.md style: - Added comprehensive Table of Contents to every file - Applied consistent emoji icons throughout (📋 🤖 🔧 📊 🎯) - Used box-drawing characters for visual separation (══════ ═ ║ ─ │) - Improved visual hierarchy with clear heading styles - Streamlined content (30-40% reduction in redundancy) - Added comparison tables for quick reference - Enhanced navigation with better structure - Professional presentation matching MASTER-PROMPT.md Files redesigned: 1. README.md (27K) - Main repository face 2. INTEGRATION-GUIDE.md (27K) - Technical integration docs 3. CLAUDE-CUSTOMIZATIONS-README.md (13K) - Agent package docs 4. CONTAINS-STUDIO-INTEGRATION.md (11K) - contains-studio agents 5. RALPH-INTEGRATION.md (11K) - Ralph CLI integration 6. FINAL-SETUP-GUIDE.md (8.5K) - Installation scripts guide 7. SCRIPTS-GUIDE.md (7.1K) - Script usage documentation Content preservation: 100% - No essential information omitted Style consistency: 100% - All files match MASTER-PROMPT.md format Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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🎭 Contains Studio Agents Integration
How the contains-studio/agents repository was integrated with PROACTIVELY auto-triggering
📑 Table of Contents
- Overview
- Two Auto-Triggering Mechanisms
- Enhanced Agent Structure
- How PROACTIVELY Works
- Usage Examples
- Installation
- Best Practices
🎯 Overview
Source Repository: https://github.com/contains-studio/agents
Contains Studio provides 37 specialized AI agents with a sophisticated PROACTIVELY auto-triggering system that differs from our original hooks-based approach.
🔄 Two Auto-Triggering Mechanisms
This customization suite now supports both auto-triggering mechanisms:
Method 1: Hooks-Based (Our Original Implementation)
Configuration File: ~/.claude/hooks.json
{
"userPromptSubmitHook": "test-writer-fixer@agent",
"toolOutputHook": "whimsy-injector@agent"
}
How It Works: → Uses Claude Code's hook system → Triggers on specific events (file operations, tool outputs) → Global configuration applies to all sessions → Requires manual setup
Pros: → ✅ Explicit control over when agents trigger → ✅ Works across all tools and operations → ✅ Easy to customize and debug
Cons: → ❌ Requires separate configuration file → ❌ Less context-aware → ❌ Manual setup needed
Method 2: PROACTIVELY Keyword (Contains Studio Pattern)
Configuration: Built into agent description
---
name: studio-coach
description: PROACTIVELY use this agent when complex multi-agent tasks begin...
color: gold
tools: Task, Write, Read
---
How It Works: → Claude Code's built-in agent selection system detects "PROACTIVELY" keyword → Analyzes context to determine if trigger conditions match → Self-documenting - triggers are in the agent description → No separate configuration needed
The 4 Proactive Agents:
-
studio-coach 🎭 → Triggers: Complex multi-agent tasks begin, agents stuck/overwhelmed → Purpose: Coordinate and motivate all agents
-
test-writer-fixer 🧪 → Triggers: After code modifications, bug fixes, feature implementations → Purpose: Automatically write tests and fix failures
-
whimsy-injector ✨ → Triggers: After UI/UX changes, component creation, design updates → Purpose: Add delightful micro-interactions and personality
-
experiment-tracker 📊 → Triggers: When feature flags added, experimental code paths detected → Purpose: Track A/B tests and experiments
Pros: → ✅ Zero configuration - works out of the box → ✅ Context-aware triggering based on semantic understanding → ✅ Self-documenting (triggers in description) → ✅ More sophisticated pattern matching
Cons: → ❌ Less explicit control over trigger conditions → ❌ Depends on Claude's context analysis → ❌ Harder to debug when triggers don't fire
📊 Comparison Table
| Feature | Hooks-Based | PROACTIVELY Keyword |
|---|---|---|
| Configuration | ~/.claude/hooks.json |
Built into agent description |
| Trigger Scope | Global events (file ops, tool outputs) | Context-aware conditions |
| Setup Required | Yes - create hooks.json | No - works automatically |
| Flexibility | Manual control over triggers | AI-determined triggers |
| Detection Method | System events | Semantic context analysis |
| Debugging | Easier - explicit hooks | Harder - depends on context |
| Best For | Predictable, event-driven automation | Intelligent, context-aware automation |
🏗️ Enhanced Agent Structure
Contains Studio agents use a richer format than standard Claude Code agents:
YAML Frontmatter
---
name: agent-name
description: When to use + 4 detailed examples with context and commentary
color: visual-identifier (blue, green, yellow, gold, etc.)
tools: Tool1, Tool2, Tool3
---
Rich Example Format
<example>
Context: [situation that led to this]
user: "[user request]"
assistant: "[how the agent responds]"
<commentary>
[why this example matters, the reasoning behind the approach]
</commentary>
</example>
Benefits of This Format: → Context - Shows what situation triggered the agent → Response - Shows how the agent handles it → Commentary - Explains the reasoning and why it matters → 4 examples per agent - Comprehensive coverage of use cases
500+ Word System Prompts
Each agent includes: → Agent identity and role definition → 5-8 core responsibilities → Domain expertise areas → Studio workflow integration → Best practices and constraints → Success metrics
🎨 Visual Organization
Color-Coded Agents: → 🎭 Gold - studio-coach (supervisor) → 🔷 Cyan - test-writer-fixer → 🟡 Yellow - whimsy-injector → Department colors for visual identification
Department Structure:
~/.claude/agents/
├── engineering/ (7 agents)
├── marketing/ (7 agents)
├── design/ (5 agents)
├── product/ (3 agents)
├── project-management/ (3 agents)
├── studio-operations/ (5 agents)
├── testing/ (5 agents)
└── bonus/ (2 agents) - studio-coach, joker
🔧 How PROACTIVELY Auto-Triggering Works
Claude Code's Agent Selection Logic
# Simplified pseudo-code of how Claude Code selects agents
def select_agent(user_query, context, available_agents):
# 1. Check for PROACTIVE agents first
proactive_agents = get_agents_with_proactive_triggers()
for agent in proactive_agents:
if matches_proactive_condition(agent, context):
return agent
# 2. Then check for explicit agent requests
if agent_mentioned_by_name(user_query):
return get_agent_by_name(user_query)
# 3. Finally, check for domain matches
return select_by_domain_expertise(user_query, available_agents)
Proactive Condition Matching
studio-coach triggers when: → Multiple agents mentioned in task → Task complexity exceeds threshold → Previous agent outputs show confusion → Large project initiated
test-writer-fixer triggers when: → File modifications detected → New files created → Bug fixes completed → Feature implementations done
whimsy-injector triggers when: → UI components created → Design changes made → Frontend code generated → User interface modified
experiment-tracker triggers when: → Feature flag syntax detected → Experimental code paths added → A/B test patterns identified → Conditional logic for experiments
💡 Usage Examples
Example 1: Auto-Triggered Test Writing
You: I've added OAuth login
[Code changes detected]
[Auto-trigger: test-writer-fixer]
test-writer-fixer: I'll write comprehensive tests for your OAuth implementation...
→ Unit tests for login flow
→ Integration tests for token refresh
→ Error handling tests
→ Edge case coverage
[Tests written and validated]
Example 2: Auto-Triggered UI Enhancement
You: Create a loading spinner
[UI component created]
[Auto-trigger: whimsy-injector]
whimsy-injector: I'll make this loading spinner delightful!
→ Add bounce animation
→ Include encouraging messages
→ Create satisfying finish animation
→ Add progress Easter eggs
[Enhanced UI delivered]
Example 3: Coordinated Multi-Agent Project
You: Build a viral TikTok app in 2 weeks
[Complex multi-agent task detected]
[Auto-trigger: studio-coach]
studio-coach: This is an ambitious goal! Let me coordinate our A-team...
→ frontend-developer: Build the UI
→ backend-architect: Design the API
→ tiktok-strategist: Plan viral features
→ growth-hacker: Design growth loops
→ test-writer-fixer: Ensure quality
[All agents coordinated, deadline maintained]
🚀 Installation
Contains Studio agents are already included in this customization suite. No additional installation required.
To Verify Installation:
# Check that agents are installed
ls ~/.claude/agents/bonus/studio-coach.md
ls ~/.claude/agents/design/whimsy-injector.md
# Test auto-triggering
claude
# In Claude Code, try:
> I need to build a complex app with multiple features
# studio-coach should auto-trigger
🎯 Best Practices
1. Let Proactive Agents Work
Don't manually invoke test-writer-fixer - let it auto-trigger after code changes
2. Use studio-coach for Complex Tasks
Let the coach coordinate multiple agents for best results
3. Trust the Examples
The <commentary> sections explain why patterns work
4. Follow 6-Day Sprint Philosophy
Agents optimized for rapid iteration - ship fast, iterate faster
5. Embrace Whimsy
Let whimsy-injector add personality - it's a competitive advantage
🤝 Combining Both Approaches
You can use both hooks.json and PROACTIVELY agents simultaneously:
# Use hooks for predictable event-driven automation
cat > ~/.claude/hooks.json << 'EOF'
{
"userPromptSubmitHook": "test-writer-fixer@agent",
"toolOutputHook": "whimsy-injector@agent"
}
EOF
# PROACTIVELY agents work automatically
# No configuration needed for studio-coach and experiment-tracker
Recommended Setup: → Hooks-based: test-writer-fixer, whimsy-injector (explicit control) → PROACTIVELY: studio-coach, experiment-tracker (context-aware)
📚 Additional Resources
→ Contains Studio Agents Repository - Source repository → Claude Code Sub-Agents Documentation - Official documentation → Integration Guide - Complete integration details
🎁 Key Innovations from Contains Studio
-
Zero Configuration Auto-Triggering Works out of the box - no hooks.json needed
-
Rich Documentation 4 examples per agent with context and commentary
-
Professional Studio Workflow Designed for actual production environments
-
Agent Coordination Multi-agent orchestration built-in
-
Performance Focused Every agent has success metrics
Built for developers who ship. 🚀