claude-code-glm-suite/RALPH-INTEGRATION.md

Ralph Framework Integration: How Patterns Were Applied

This document explains how coordination patterns from the Ralph framework (https://github.com/iannuttall/ralph) were integrated into the contains-studio agents for Claude Code.

Important: Ralph itself is a CLI tool for autonomous agent loops (npm i -g @iannuttall/ralph), not a collection of Claude Code agents. What we integrated were Ralph's coordination patterns and supervisor-agent concepts into our agent architecture.

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📋 What is Ralph?

Ralph is a bash-based autonomous agent framework that:

• Uses git + files as memory (not model context)
• Executes PRD-driven stories in iterative loops
• Runs as a standalone CLI tool for multi-hour coding sessions
• Designed for completely autonomous workflows

Ralph is NOT a set of Claude Code agents - it's a separate system.

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🔄 What We Integrated: Ralph's Coordination Patterns

While Ralph itself couldn't be "installed as agents," its architectural patterns for multi-agent coordination were exceptionally valuable. We integrated these patterns into contains-studio agents:

Pattern 1: Supervisor-Agent Coordination

Ralph Pattern: Ralph uses a central supervisor to coordinate subordinate agents.

Our Integration (studio-coach):

You are the studio's elite performance coach and chief motivation officer—a unique blend of championship sports coach, startup mentor, and zen master.

**Strategic Orchestration**: You will coordinate multi-agent efforts by:
- Clarifying each agent's role in the larger mission
- Preventing duplicate efforts and ensuring synergy
- Identifying when specific expertise is needed
- Creating smooth handoffs between specialists
- Building team chemistry among the agents

How It Works:

User: "We need to build a viral TikTok app in 2 weeks"

[studio-coach PROACTIVELY triggers]

Studio Coach:
├─► Frontend Developer: "Build the UI with these priorities..."
├─► Backend Architect: "Design the API for viral sharing..."
├─► TikTok Strategist: "Plan viral features for launch..."
├─► Growth Hacker: "Design growth loops for user acquisition..."
└─→ Coordinates all agents, maintains timeline, ensures quality

Ralph Concepts Applied:

• ✅ Central supervision of multiple specialists
• ✅ Role clarification and delegation
• ✅ Smooth handoffs between agents
• ✅ Synergy optimization (preventing duplicate work)

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Pattern 2: Task Delegation Framework

Ralph Pattern: Ralph breaks down PRD stories and delegates to specialists.

Our Integration (studio-producer):

**Task Delegation Template:**

Frontend Developer, please build [component]:

• Requirements: [spec]
• Design: [reference]
• Timeline: [6-day sprint]
• Dependencies: [API endpoints needed]

Backend Architect, please design [API]:

• Endpoints: [list]
• Auth requirements: [spec]
• Database schema: [entities]

How It Works:

User: "Build a new user authentication feature"

Studio Producer:
├─► Frontend Developer: "Build login form UI"
│   └── Requirements: Email/password, social login, error states
│   └── Design: Reference Figma mockups
│   └── Timeline: Days 1-2
│
├─► Backend Architect: "Design authentication API"
│   └── Endpoints: POST /auth/login, POST /auth/register
│   └── Auth: JWT tokens with refresh
│   └── Database: Users table with encrypted passwords
│
├─► UI Designer: "Create auth flow mockups"
│
├─► Test Writer/Fixer: "Write auth tests"
│
└─→ Assembles all outputs into cohesive feature

Ralph Concepts Applied:

• ✅ Breaking down complex tasks into specialist assignments
• ✅ Clear requirements per specialist
• ✅ Dependency tracking between agents
• ✅ Timeline coordination
• ✅ Integration of specialist outputs

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Pattern 3: Shared Context System

Ralph Pattern: Ralph maintains shared state via git and files.

Our Integration:

Both studio-coach and studio-producer reference:

• Shared project timeline: 6-day sprint cycle
• Team capacity: Known from studio operations
• Technical constraints: From architecture
• Sprint goals: Loaded from project context

Example from studio-producer:

**6-Week Cycle Management:**
- Week 0: Pre-sprint planning and resource allocation
- Week 1-2: Kickoff coordination and early blockers
- Week 3-4: Mid-sprint adjustments and pivots
- Week 5: Integration support and launch prep
- Week 6: Retrospectives and next cycle planning

Ralph Concepts Applied:

• ✅ Shared project context across agents
• ✅ Common timeline (6-day sprints)
• ✅ Team capacity awareness
• ✅ Technical constraints understood by all

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Pattern 4: Cross-Agent Coordination

Ralph Pattern: Ralph coordinates multiple agent types for complex workflows.

Our Integration (experiment-tracker):

**Cross-Agent Coordination:**

When running an A/B test:
1. Work with Product Manager to define hypothesis
2. Coordinate with Engineering for implementation
3. Partner with Analytics for measurement
4. Use Feedback Synthesizer to analyze results
5. Report findings with Studio Producer

How It Works:

User: "We're testing a new checkout flow"

[experiment-tracker PROACTIVELY triggers]

Experiment Tracker:
├─► Sprint Prioritizer: "Define experiment hypothesis"
├─► Backend Architect: "Implement feature flag logic"
├─► Analytics Reporter: "Set up event tracking"
├─► Feedback Synthesizer: "Analyze user feedback"
└─► Studio Producer: "Report results and decide next steps"

Ralph Concepts Applied:

• ✅ Multi-agent workflows
• ✅ Sequential agent activation
• ✅ Cross-functional coordination
• ✅ Results aggregation and reporting

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Pattern 5: Performance Coaching

Ralph Pattern: Ralph includes guardrails and performance optimization.

Our Integration (studio-coach):

**Crisis Management Protocol:**
1. Acknowledge the challenge without dramatizing
2. Remind everyone of their capabilities
3. Break the problem into bite-sized pieces
4. Assign clear roles based on strengths
5. Maintain calm confidence throughout
6. Celebrate small wins along the way

**Managing Different Agent Personalities:**
- Rapid-Prototyper: Channel their energy, praise their speed
- Trend-Researcher: Validate their insights, focus their analysis
- Whimsy-Injector: Celebrate creativity, balance with goals
- Support-Responder: Acknowledge empathy, encourage boundaries
- Tool-Evaluator: Respect thoroughness, prompt decisions

Ralph Concepts Applied:

• ✅ Performance monitoring and optimization
• ✅ Agent-specific coaching strategies
• ✅ Crisis management protocols
• ✅ Motivation and morale management

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📊 Comparison: Ralph vs. Our Integration

Aspect	Ralph (CLI Tool)	Our Integration (Patterns)
Architecture	Bash scripts + git loops	Claude Code agents with PROACTIVELY triggers
Memory	Files + git state	Agent descriptions + shared context
Triggering	Manual CLI execution	Automatic PROACTIVELY triggers
State	.ralph/ directory	Project files + agent memory
Use Case	Autonomous multi-hour coding	Interactive development with humans
Installation	npm i -g @iannuttall/ralph	Already in contains-studio agents

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🎯 Real-Life Example: Multi-Agent Project

User Request: "Build a viral TikTok app in 2 weeks"

With Ralph (CLI Tool):

# User creates PRD JSON
ralph prd
# Ralph generates autonomous coding loop

# User runs loop (takes hours)
ralph build 25

# Ralph autonomously:
# - Writes code
# - Commits to git
# - Runs tests
# - Iterates until done

With Our Ralph-Inspired Agents:

# User makes request in Claude Code
user: "Build a viral TikTok app in 2 weeks"

# studio-coach PROACTIVELY triggers
[Coordinates all specialists]

studio-coach:
├─► Frontend Developer: "Build React Native UI..."
├─► Backend Architect: "Design scalable API..."
├─► TikTok Strategist: "Plan viral features..."
├─► Growth Hacker: "Design growth loops..."
├─► Rapid Prototyper: "Build MVP in 2 days..."
├─► Test Writer/Fixer: "Write comprehensive tests..."
└─→ [Human in loop, user can guide at each step]

# Advantages:
# - Human collaboration (not fully autonomous)
# - Course correction at any time
# - Clarification questions
# - Design decisions involve user

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🤝 Why Not Use Ralph Directly?

Ralph is excellent for autonomous coding sessions, but our integration approach offers:

1. Human-in-the-Loop: You can guide, adjust, and collaborate
2. Real-Time Feedback: Ask questions, clarify requirements mid-project
3. Design Collaboration: Participate in creative decisions
4. Course Correction: Pivot quickly based on new information
5. Interactive Development: Not limited to pre-defined PRD

Ralph Best For:

• Autonomous overnight coding sessions
• Well-defined, pre-planned features
• "Fire and forget" development
• Large refactoring projects

Our Agents Best For:

• Interactive development with user
• Exploratory projects with evolving requirements
• Creative collaboration
• Design-heavy work requiring human input

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📚 Summary

What Ralph Provided:

• ✅ Supervisor-agent coordination pattern
• ✅ Task delegation frameworks
• ✅ Shared context systems
• ✅ Cross-agent workflow orchestration
• ✅ Performance coaching strategies

How We Applied Ralph Patterns:

• ✅ studio-coach = Ralph's supervisor pattern
• ✅ studio-producer = Ralph's task delegation pattern
• ✅ experiment-tracker = Ralph's coordination pattern
• ✅ Shared sprint context (6-day cycles)
• ✅ Cross-functional workflows

What We Didn't Copy:

• ❌ Ralph's autonomous bash loops (we want human collaboration)
• ❌ Ralph's git-as-memory system (we use agent context)
• ❌ Ralph's PRD-driven approach (we want interactive flexibility)

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🔗 Resources

• Ralph Framework - Original CLI tool
• contains-studio/agents - Our agent implementation
• INTEGRATION-GUIDE.md - Technical integration details
• CONTAINS-STUDIO-INTEGRATION.md - PROACTIVELY auto-triggering

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