Clarify Ralph patterns reference in MASTER-PROMPT
Changes: - Remove Ralph from list of installed components (it was misleading) - Change component count from 7 to 6 - Add Agent Architecture Patterns section explaining: - PROACTIVELY coordinators implement proven coordination patterns - Patterns inspired by frameworks like Ralph - Supervisor-agent delegation and shared context management - Clarify Ralph is a conceptual reference, not an installed tool This prevents confusion - Ralph CLI is not installed, only its coordination patterns influenced the agent design.
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@@ -108,13 +108,15 @@ I want to install the Ultimate Claude Code & GLM Customization Suite with ALL in
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This suite includes 6 major components from open-source projects:
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This suite includes 6 major components from open-source projects:
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1. **contains-studio/agents** - 37 specialized AI agents with auto-triggering
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1. **contains-studio/agents** - 38 specialized AI agents with PROACTIVELY auto-triggering
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2. **@z_ai/mcp-server** - 8 vision and analysis tools (screenshots, videos, diagrams)
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2. **@z_ai/mcp-server** - 8 vision and analysis tools (screenshots, videos, diagrams)
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3. **@z_ai/coding-helper** - Web search, GitHub integration, GLM setup wizard
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3. **@z_ai/coding-helper** - Web search, GitHub integration, GLM setup wizard
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4. **llm-tldr** - Token-efficient code analysis (95% reduction, semantic search)
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4. **llm-tldr** - Token-efficient code analysis (95% reduction, semantic search)
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5. **ui-ux-pro-max-skill** - Professional UI/UX design agent with PROACTIVELY auto-triggering
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5. **ui-ux-pro-max-skill** - Professional UI/UX design agent with PROACTIVELY auto-triggering
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6. **claude-codex-settings** - MCP configuration patterns and best practices (reference)
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6. **claude-codex-settings** - MCP configuration patterns and best practices (reference)
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7. **Ralph** - Autonomous agent coordination patterns (reference, integrated into contains-studio agents)
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**Agent Architecture Patterns:**
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The PROACTIVELY coordinator agents (studio-coach, studio-producer, experiment-tracker, project-shipper) implement proven coordination patterns from autonomous agent frameworks like Ralph, using supervisor-agent delegation and shared context management.
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Each component is explained below with real-life examples showing the benefits.
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Each component is explained below with real-life examples showing the benefits.
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