1.5

What's Changed

• Removed Zen by @mudspot in #8

Full Changelog: 1.4.1...1.5

1.4.1

Version 1.4.1 - Phoenix 1.8 + DaisyUI Integration Enhancement

🚀 Phoenix 1.8 Integration

• LiveView Streams: Complete integration of Phoenix 1.8 stream functionality (stream/3, stream_insert/3, stream_delete/2)
• Modern Navigation: Updated navigation patterns using <.link navigate={path}> and push_navigate/2
• Verified Routes: Full support for ~p sigil for compile-time route checking
• Enhanced Presence: Advanced Phoenix Presence with fetch/2 and handle_metas/4 callbacks

🎨 DaisyUI Component System Integration

• 30+ Semantic Components: Complete expertise in DaisyUI component library (buttons, cards, forms, navigation, modals, alerts, badges)
• Theme Management: Advanced theming system with 30+ built-in themes and dark mode support
• Responsive Design: Mobile-first responsive patterns with Tailwind CSS utility classes
• Accessibility Features: ARIA compliance and keyboard navigation support built into components

🏗️ Enhanced Agent Capabilities

• backend-developer: Added comprehensive Phoenix 1.8 expertise with LiveView Streams, modern navigation, verified routes, and enhanced Presence patterns
• frontend-developer: Enhanced with complete DaisyUI component system expertise, theme management, and Phoenix LiveView integration patterns
• Shared Patterns: Updated mcp-orchestration.md with Phoenix 1.8 + DaisyUI integration workflows and intelligence cascades

🔧 Integration Patterns

• Real-time UI Updates: Phoenix 1.8 streams combined with DaisyUI components for dynamic interfaces
• Modern Navigation: Phoenix 1.8 verified routes with DaisyUI navigation components
• Theme Integration: JavaScript hooks for DaisyUI theme persistence and system preferences
• Component Integration: Seamless integration between Phoenix LiveView and DaisyUI component library

📚 Documentation Updates

• Enhanced agent documentation with Phoenix 1.8 and DaisyUI expertise
• Updated shared orchestration patterns for modern Phoenix development
• Added integration examples and best practice patterns
• Comprehensive component library documentation

📊 Changes Summary

• Files Modified: 7 files
• Total Additions: +1,302 lines
• Key Enhancements: Phoenix 1.8 + DaisyUI integration across entire agent system
• Agent Enhancements: backend-developer (+368 lines), frontend-developer (+647 lines)
• Orchestration Patterns: Updated shared patterns (+230 lines)

This release brings modern Phoenix development capabilities with sophisticated UI component integration to the revolutionary PROACTIVE and AGGRESSIVE agent system.

1.4.0

🚀 Revolutionary Three-Layer Intelligence Architecture

Version 1.4.0 - September 6, 2025

🌟 Revolutionary Enhancement - Three-Layer Intelligence System

UNPRECEDENTED CODE INTELLIGENCE: Complete transformation to a sophisticated three-layer intelligence architecture that combines semantic understanding, AI-powered analysis, and complex reasoning for zero blind spots in code analysis.

LAYER 1: SERENA SEMANTIC INTELLIGENCE

• Semantic code navigation (find_symbol, get_symbols_overview, search_for_pattern, find_referencing_symbols)
• Project memory for persistent architectural knowledge (write_memory, read_memory)
• Precise code targeting and context extraction

LAYER 2: ZEN AI-POWERED ANALYSIS (16 Sophisticated Tools)

• Deep Analysis Suite: thinkdeep, analyze, debug, refactor
• Collaborative Intelligence: consensus, planner, chat
• Quality & Security: codereview, precommit, secaudit, testgen
• Code Intelligence: tracer, docgen
• Advanced Reasoning: challenge, sequential-thinking

LAYER 3: SEQUENTIAL THINKING COMPLEX REASONING

• Multi-step problem decomposition and hypothesis development
• Complex decision tree navigation and systematic solution synthesis
• Assumption testing and validation workflows

🎯 Sophisticated Intelligence Cascades

5 Pre-defined Workflows for different problem types:

• Standard Intelligence Cascade: Serena → Zen analysis → Sequential Thinking → Zen consensus → Zen challenge
• Debugging Intelligence Cascade: Bug context mapping → Multi-hypothesis investigation → Root cause analysis → Solution validation → Regression prevention
• Architecture Intelligence Cascade: System-wide analysis with comprehensive validation
• Security Intelligence Cascade: OWASP analysis with threat modeling and validation
• Performance Intelligence Cascade: Multi-layer optimization with systematic validation

🧠 Advanced Model Selection with 28+ AI Models

Context-Aware Orchestration with intelligent model selection:

• Deep Analysis: gemini-2.5-pro + anthropic/claude-opus-4.1 + openai/o3 consensus
• Security Analysis: anthropic/claude-opus-4.1 + deepseek/deepseek-r1-0528 + openai/o3 validation
• Performance Optimization: openai/o3 + gemini-2.5-flash + anthropic/claude-opus-4.1 validation
• Complex Reasoning: deepseek/deepseek-r1-0528 + gemini-2.5-pro for advanced scenarios

🔧 Enhanced Agent Capabilities

Revolutionary Intelligence Integration:

• architect: Three-layer orchestration with system-wide analysis cascades and architectural decision validation
• backend-developer: Sophisticated Elixir/Phoenix/OTP intelligence with Ash framework migration patterns and complex bug investigation
• All Agents: Enhanced with semantic-first analysis, multi-model consensus validation, and assumption challenge workflows

📊 Revolutionary Capabilities

• 10x Analysis Depth: Systematic use of all available semantic, AI, and reasoning tools
• Zero Blind Spots: Complete code understanding through three-layer intelligence architecture
• Validated Decisions: All critical choices validated by multiple specialized AI models
• Assumption Testing: Systematic challenge of approaches to prevent bias and errors
• Adaptive Intelligence: Context-aware selection of analysis tools and AI models
• Failure-Resilient Patterns: Robust recovery and fallback strategies for interrupted workflows

🎯 What's New in v1.4.0

• Revolutionary three-layer intelligence system combining Serena + Zen + Sequential Thinking
• 16 sophisticated Zen tools for comprehensive AI-powered analysis
• 5 pre-defined intelligence cascades for different problem types
• 28+ AI model orchestration with context-aware selection
• Multi-model consensus validation for critical decisions
• Assumption challenge workflows preventing confirmation bias
• Enhanced shared intelligence frameworks in /agents/shared/
• Global instructions integration with three-layer architecture
• Comprehensive documentation updates across all files

🚀 Breaking Changes

• Agents now automatically activate three-layer intelligence for complex problems
• Enhanced MCP orchestration patterns require updated workflow understanding
• New semantic-first analysis approach changes how agents analyze code

📈 Performance & Intelligence Improvements

• Unprecedented Analysis Depth: Complete utilization of available intelligence tools
• Validated Decision Making: Multi-model consensus prevents single-model bias
• Semantic Precision: Always understand code context before modifications
• Complex Reasoning: Systematic problem decomposition for multi-step challenges

---

This release represents a revolutionary leap in AI agent capabilities, providing unprecedented code intelligence through systematic orchestration of semantic understanding, AI-powered analysis, and complex reasoning systems.

1.3.1

🧠 Memory Integration Enhancement

🔧 Memory System Refactor

• Removed Standalone Memory MCP: Eliminated separate Memory MCP service
• Serena MCP Integration: Memory functionality now fully integrated into Serena MCP
• Enhanced Memory Tools: All agents now use write_memory and read_memory tools for project knowledge persistence
• Simplified Architecture: Reduced complexity by consolidating memory management into existing Serena MCP
• Improved Documentation: Updated all agent documentation to reflect proper Serena MCP memory capabilities
• Consistent Terminology: Aligned all references to use "Serena MCP - Project Memory" with actual tool functionality

🗂️ Documentation Updates

• Updated all 9 agent files with correct Serena MCP memory references
• Removed rules/memory.md (no longer needed)
• Updated CLAUDE.md, README.md, and CHANGELOG.md to reflect memory integration
• Corrected terminology from "Memory MCP" to proper Serena MCP memory tools

This version consolidates memory functionality into Serena MCP for improved architecture simplicity and better alignment with actual MCP capabilities.

1.3.0

🎨 Template Flexibility + Enhanced Specialization

🎯 Major Enhancement - Template Engine Flexibility

• Surface + HEEx Support: All agents now expert in both Surface (.sface) and HEEx (.heex) templating
• Project-Based Standards: Agents choose appropriate templating approach based on project conventions
• Enhanced Specialization: Core agents enhanced with domain-specific expertise while maintaining consistent tooling
• Non-Prescriptive Approach: Agents adapt to existing project patterns rather than enforcing specific engines

🔧 Agent Enhancements

• backend-developer: Enhanced Ash Framework 3.5+ and Elixir OTP expertise with flexible templating
• frontend-developer: Svelte 5 runes mastery + Surface/HEEx dual expertise
• api-specialist: HubSpot API integration patterns with comprehensive OAuth 2.0 flows
• quality-specialist: JWT/JOSE security patterns and AshCloak encryption expertise
• architect: PlantUML diagramming and multi-system architecture patterns

🧹 Cleanup & Optimization

• Removed Legacy References: Cleaned up outdated references and consolidated documentation
• Streamlined Structure: Eliminated redundant specialized agent files
• Enhanced Documentation: Updated all version references and capability descriptions

🚀 What's Changed

• Template engine flexibility across all agents
• Enhanced domain-specific knowledge integration
• Improved project adaptation capabilities
• Comprehensive documentation updates

Full Changelog: 1.2.0...1.3.0

1.2.0

🧠 Advanced Reasoning Integration - v1.2.0

🚀 Breakthrough Enhancement: Systematic MCP Orchestration

This release transforms all 9 Prometheus agents from reactive tools into proactive, systematically reasoning systems with advanced MCP orchestration capabilities.

✨ Major Features

Sequential Thinking Integration

• Automatic activation for complex problems requiring ≥3 steps
• Systematic problem decomposition with structured workflows
• Hypothesis testing and iterative refinement patterns

Zen MCP Orchestration

• Cascading workflows: debug → analyze → refactor → consensus
• Multi-model consensus validation for critical decisions
• Comprehensive tool coverage: zen_debug, zen_secaudit, zen_consensus, zen_planner, zen_tracer

Automated Trigger Patterns

• Complexity-based activation with predefined thresholds
• Context-aware reasoning based on task complexity
• Cross-agent coordination for complex features

🎯 New Shared Framework Files

• /agents/shared/mcp-orchestration.md - Automated MCP workflow integration patterns
• /agents/shared/trigger-patterns.md - Systematic trigger patterns for advanced reasoning
• Enhanced /agents/shared/dry-principles.md - Added MCP integration for DRY enforcement

🤖 Agent Intelligence Upgrades

All 9 agents now feature:

• Mandatory integration with shared frameworks (DRY + MCP Orchestration + Trigger Patterns)
• Automatic Sequential Thinking activation for complex analysis
• Systematic Zen MCP workflow orchestration
• Multi-model consensus validation for critical decisions
• Context-aware complexity detection and response

🔧 Technical Enhancements

Advanced Workflow Patterns

complexity_triggers:
  sequential_thinking: "≥3 steps required"
  zen_mcp_orchestration: "≥2 quality categories affected"  
  consensus_validation: "Critical production decisions"

orchestrated_workflows:
  - "Performance issue → zen_debug → zen_analyze → zen_refactor → zen_testgen"
  - "Security concern → zen_secaudit → zen_consensus → mitigation implementation"
  - "Complex feature → zen_planner → sequential thinking → zen_codereview"

Quality Assurance

• Failure resilience with comprehensive fallback strategies
• Continuous learning with pattern recognition and optimization
• Quality metrics tracking for workflow effectiveness

📊 Impact

This release represents a fundamental evolution in AI agent capabilities:

• From reactive → Proactive systematic reasoning
• From single-model → Multi-model consensus validation
• From simple tasks → Complex orchestrated workflows
• From individual agents → Coordinated intelligent systems

🔄 Backward Compatibility

All existing agent interfaces remain compatible. New reasoning capabilities are automatically activated based on complexity detection - no manual configuration required.

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Full Changelog: https://github.com/mudspot/prometheus-agents/blob/main/CHANGELOG.md

1.1.1

📐 DRY Principles Enforcement Release

✨ Major Enhancement - DRY Principle Integration

• Shared Patterns Library: Created /agents/shared/dry-principles.md with core DRY directives
• Pattern Recognition: All agents now search for existing patterns before generating code
• Code Reuse Enforcement: Systematic extraction and reuse of common functionality
• Component Composition: Build from smaller, reusable parts instead of duplication

🚀 Agent Updates

• All 9 Agents: Added mandatory DRY principle enforcement sections
• backend-developer: Elixir-specific patterns for modules, error handling, and changesets
• frontend-developer: Component composition, design tokens, and custom hooks
• architect: System-level DRY enforcement and architectural patterns
• data-engineer: Schema reuse, query patterns, and ETL pipeline components
• api-specialist: Endpoint patterns, response formats, and validation rules
• test-engineer: Test fixtures, utilities, and factory patterns
• quality-specialist: Security patterns, performance optimizations, audit templates
• product-coordinator: Documentation templates and process patterns
• devops-engineer: Infrastructure modules, CI/CD templates, and configuration management

📝 Documentation Updates

• Updated installation instructions to include /agents/shared/ directory
• Added DRY principles section to project overview
• Updated version to 1.1.1 across all documentation
• Enhanced README with new features and installation steps

🔧 Technical Improvements

• Reduced code duplication across projects
• Improved maintainability through pattern extraction
• Enhanced code quality with systematic reuse
• Better architectural consistency

📦 Installation

# Project-level
mkdir -p .claude/agents/shared
cp agents/*.md .claude/agents/
cp agents/shared/*.md .claude/agents/shared/

# User-level
mkdir -p ~/.claude/agents/shared
cp agents/*.md ~/.claude/agents/
cp agents/shared/*.md ~/.claude/agents/shared/

Full Changelog: v1.1.0...v1.1.1

1.1.0

What's Changed

• feat: Add comprehensive MCP integration to all agents (v1.1.0) by @mudspot in #7

Full Changelog: 1.0.2...1.1.0

1.0.2

Release 1.0.2 - Visual Improvements

🎨 What's New

Unique Agent Colors

All 9 consolidated agents now have visually distinct colors for better identification:

• api-specialist: #2196F3 (Blue 🔵)
• architect: #9C27B0 (Purple 🟣)
• backend-developer: #FF5722 (Deep Orange 🔴)
• data-engineer: #FFC107 (Amber 🟡)
• devops-engineer: #795548 (Brown 🟫)
• frontend-developer: #4CAF50 (Green 🟢)
• product-coordinator: #FF9800 (Orange 🟠)
• quality-specialist: #E91E63 (Pink 🩷)
• test-engineer: #607D8B (Blue Grey 🩶)

📋 Also Includes (from v1.0.1)

Name Standardization

• Agent name fields now match filenames exactly
• Uses lowercase hyphenated format (e.g., name: frontend-developer)
• Improves consistency for programmatic references

🎯 Why These Changes Matter

• Better Visual Distinction: No more confusion between similar colors
• Improved UX: Easier to identify agents at a glance
• Consistency: Names and colors are now standardized across all agents

📦 No Breaking Changes

These are patch releases with visual and naming improvements only - no functional changes.

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Full Changelog: v1.0.0...1.0.2

1.0.1

Release 1.0.1 - Agent Name Standardization

🔧 Bug Fixes

Standardized Agent Name Fields

All 9 consolidated agents now have their internal name: field matching their filename convention:

• api-specialist.md → name: api-specialist
• architect.md → name: architect
• backend-developer.md → name: backend-developer
• data-engineer.md → name: data-engineer
• devops-engineer.md → name: devops-engineer
• frontend-developer.md → name: frontend-developer
• product-coordinator.md → name: product-coordinator
• quality-specialist.md → name: quality-specialist
• test-engineer.md → name: test-engineer

📋 What's Changed

• Fixed: Agent name fields now use lowercase hyphenated format matching filenames
• Improved: Consistency for programmatic agent references
• Updated: Version bumped to 1.0.1 in VERSION, CLAUDE.md, and CHANGELOG.md

🎯 Why This Matters

This change ensures consistency between agent file naming and internal identifiers, making it easier to reference agents programmatically and maintain the codebase.

📦 No Breaking Changes

This is a patch release with no functional changes - only naming consistency improvements.

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Full Changelog: v1.0.0...1.0.1