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claude-code-glm-suite/CONTAINS-STUDIO-INTEGRATION.md
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Redesigned all 7 .md documentation files to match MASTER-PROMPT.md style:
- Added comprehensive Table of Contents to every file
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- Used box-drawing characters for visual separation (══════ ═ ║ ─ │)
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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>
2026-01-16 14:55:50 +00:00

11 KiB

🎭 Contains Studio Agents Integration

How the contains-studio/agents repository was integrated with PROACTIVELY auto-triggering


📑 Table of Contents

  1. Overview
  2. Two Auto-Triggering Mechanisms
  3. Enhanced Agent Structure
  4. How PROACTIVELY Works
  5. Usage Examples
  6. Installation
  7. 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:

  1. studio-coach 🎭Triggers: Complex multi-agent tasks begin, agents stuck/overwhelmed → Purpose: Coordinate and motivate all agents

  2. test-writer-fixer 🧪Triggers: After code modifications, bug fixes, feature implementations → Purpose: Automatically write tests and fix failures

  3. whimsy-injector Triggers: After UI/UX changes, component creation, design updates → Purpose: Add delightful micro-interactions and personality

  4. 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

  1. Zero Configuration Auto-Triggering Works out of the box - no hooks.json needed

  2. Rich Documentation 4 examples per agent with context and commentary

  3. Professional Studio Workflow Designed for actual production environments

  4. Agent Coordination Multi-agent orchestration built-in

  5. Performance Focused Every agent has success metrics


Built for developers who ship. 🚀