ast-analyzer
Deep Abstract Syntax Tree analysis for understanding code structure, dependencies, impact analysis, and pattern detection at the structural level across multiple programming languages
autonomous-development
Comprehensive autonomous development strategies including milestone planning, incremental implementation, auto-debugging, and continuous quality assurance for full development lifecycle management
claude-plugin-validation
Comprehensive validation system for Claude Code plugins to ensure compliance with official plugin development guidelines and prevent installation failures
code-analysis
Provides methodologies, metrics, and best practices for analyzing code structure, complexity, and quality
contextual-pattern-learning
Advanced contextual pattern recognition with project fingerprinting, semantic similarity analysis, and cross-domain pattern matching for enhanced learning capabilities
Decision Frameworks
Decision-making methodologies, scoring frameworks, and planning strategies for Group 2 agents in four-tier architecture
documentation-best-practices
Provides templates, standards, and best practices for writing clear, comprehensive technical documentation
frontend-aesthetics
Distinctive frontend design principles for avoiding generic AI defaults, implementing thoughtful typography/color/animations, and creating polished user experiences based on Claude Code design research
fullstack-validation
Comprehensive validation methodology for multi-component applications including backend, frontend, database, and infrastructure
git-automation
Advanced Git operations automation including intelligent branching, commit optimization, release workflows, and repository health management
Group Collaboration
Best practices for inter-group communication, knowledge sharing, and collaborative workflows in four-tier architecture
gui-design-principles
Comprehensive design principles and best practices for creating beautiful, functional GUI applications including dashboards, web apps, and mobile apps
integrity-validation
Pre/post-operation validation to detect missing components and prevent future issues
model-detection
Universal model detection and capability assessment for optimal cross-model compatibility
pattern-learning
Enables autonomous pattern recognition, storage, and retrieval at project level with self-learning capabilities for continuous improvement
performance-scaling
Cross-model performance optimization and scaling configurations for autonomous agents
Predictive Skill Loading
Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates
quality-standards
Defines code quality benchmarks, standards compliance, and best practices for maintaining high-quality codebases
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