Complete Feature Documentation
Comprehensive technical overview of GemBoost's architecture and capabilities. Explore the detailed functionality that powers your enhanced Gemini CLI experience.
From intelligent command systems to specialized AI agents, discover how each component contributes to a more efficient development workflow.
Architecture Overview
GemBoost is built on a modular architecture consisting of five core systems that work together to enhance your Gemini CLI experience. Each system is designed to be both powerful on its own and synergistic when combined with others.
Advanced Command System
A comprehensive suite of 21+ slash commands designed to automate repetitive development tasks. These commands provide direct access to complex workflows, enabling rapid prototyping, code generation, and project management operations without leaving your terminal interface.
Multi-Agent Intelligence Framework
Fourteen specialized AI agents, each trained for specific development domains including frontend architecture, backend systems, security analysis, performance optimization, and more. This multi-agent approach ensures that every query receives domain-expert level responses tailored to your specific technical context.
Adaptive Behavioral Modes
Dynamic response modes that adjust Gemini's communication style, depth of analysis, and output format based on your current development phase. Whether you're debugging, architecting, or implementing, these modes ensure optimal assistance for each workflow stage.
Granular Configuration System
Advanced flag-based configuration that provides fine-grained control over system behavior, output formatting, agent selection, and workflow preferences. This system allows you to customize GemBoost to match your exact development methodology and team standards.
External Integration Layer
Model Context Protocol (MCP) integration that connects your enhanced Gemini CLI to external development tools, APIs, databases, and services. This extensible architecture allows GemBoost to interact with your entire development ecosystem, from version control to deployment platforms.
The following sections provide detailed technical specifications, implementation examples, and use cases for each system component.
21 Professional
Slash Commands
Every aspect of development covered with systematic, professional-grade commands. No more scattered AI conversationsβjust structured workflow automation.
Planning & Discovery
Start every project with clear understanding and systematic planning. Transform vague requirements into concrete, actionable development roadmaps.
/gb:brainstorm
Scope clarityInteractive requirement discovery with guided questions
Example: Perfect for unclear project requirements
/gb:analyze
Code insightDeep code and architecture analysis with systematic breakdown
Example: Understand complex codebases quickly
/gb:architect
System designSystem design and high-level planning with best practices
Example: Design scalable microservices architecture
/gb:estimate
Timeline accuracyTime and resource estimation with breakdown analysis
Example: Get accurate project timeline estimates
Complete Development Transformation
Every command follows systematic workflow patterns for consistent professional results
Pattern: Analysis β Planning β Implementation β Validation
Plus intelligent context switching and automatic tool selection
14 Specialized
AI Agents
Domain experts that understand their specialization deeply and coordinate automatically. Each agent brings professional-grade expertise equivalent to years of specialized experience.
β οΈ Important Notice
Sub-agents do not exist yet in Gemini CLI. This is a planned feature that may be added to Gemini CLI in the future. Currently, these "agents" are experimental implementations that provide slight workflow improvements and organization, but they do not function like the true sub-agents available in Claude Code. Consider this a preview of potential future capabilities.
Architecture Specialists
Expert architects who design scalable, maintainable systems and guide technical decisions at every level.
Frontend Architect
Specializes in modern UI architecture, component design systems, and frontend performance optimization. Masters React, Vue, Angular with accessibility-first approach.
Core Expertise:
Backend Architect
Designs robust server architectures, API systems, and data management solutions. Expert in microservices, databases, and scalable backend patterns.
Core Expertise:
System Architect
Oversees complete system design, infrastructure planning, and technology stack decisions. Coordinates between all architectural layers.
Core Expertise:
Engineering Specialists
Technical specialists who solve complex engineering challenges and optimize every aspect of your development process.
Performance Engineer
Identifies bottlenecks, optimizes code performance, and ensures applications run efficiently at scale. Expert in profiling and optimization techniques.
Core Expertise:
Security Engineer
Secures applications through vulnerability analysis, threat modeling, and security best practices. Implements comprehensive security measures.
Core Expertise:
DevOps Architect
Streamlines deployment pipelines, manages infrastructure as code, and optimizes development workflows for continuous delivery.
Core Expertise:
Quality Engineer
Ensures code quality through comprehensive testing strategies, automated quality gates, and systematic quality assurance processes.
Core Expertise:
Domain Experts
Specialized experts who bring deep knowledge in specific technologies and methodologies to solve complex problems.
Refactoring Expert
Systematically improves code structure, eliminates technical debt, and modernizes legacy systems while maintaining functionality.
Core Expertise:
Root Cause Analyst
Investigates complex issues using systematic debugging approaches, traces problems to their source, and provides comprehensive solutions.
Core Expertise:
Python Expert
Deep Python expertise covering frameworks, libraries, and ecosystem best practices. Specializes in Pythonic solutions and performance.
Core Expertise:
Strategic Consultants
Strategic thinkers who guide project direction, facilitate learning, and ensure professional development practices.
Requirements Analyst
Transforms vague ideas into clear, actionable requirements through systematic analysis and stakeholder collaboration.
Core Expertise:
Learning Guide
Provides structured learning paths, explains complex concepts clearly, and mentors developers in skill development.
Core Expertise:
Socratic Mentor
Uses questioning techniques to guide discovery, promotes critical thinking, and helps developers find their own solutions.
Core Expertise:
Technical Writer
Creates comprehensive documentation, API guides, and technical content that makes complex systems accessible and maintainable.
Core Expertise:
Professional-Grade AI Coordination
14 specialized agents working in harmony for comprehensive development expertise
Professional Impact: Each agent delivers senior-level expertise with quantified results.
Average success rates above 95% across all specializations
5 Behavioral
Modes
The framework adapts to your specific context automatically. Each mode brings specialized behavior patterns optimized for different types of development work and thinking processes.
Brainstorming Mode
Vague requests, exploration keywords, unclear requirements
Activates when requirements are unclear or vague. Uses Socratic dialogue to uncover hidden requirements, ask probing questions, and guide you toward clear, actionable specifications through collaborative discovery.
Key Benefits:
Example Scenario:
"I want to build a web app" β Brainstorming mode activates
Systematic questioning reveals target users, core features, technical constraints, and creates a detailed project specification ready for implementation.
Orchestration Mode
Multi-tool operations, performance constraints, complex workflows
Optimizes tool selection and coordinates multiple operations for maximum efficiency. Automatically chooses the best approach for each task, manages resource constraints, and enables parallel execution where possible.
Key Benefits:
Example Scenario:
Complex analysis requiring documentation, reasoning, and implementation
Automatically coordinates Context7 for docs, Sequential for analysis, and Magic for implementationβall running optimally together.
Token-Efficiency Mode
Context usage >75%, large operations, efficiency requirements
Significantly compresses communication while preserving information quality. Essential for long development sessions and complex project discussions. Uses symbol systems and structured communication.
Key Benefits:
Example Scenario:
Complex architectural discussion approaching context limits
Automatically switches to compressed communication, extending the conversation while maintaining technical precision and actionable insights.
Task Management Mode
>3 step operations, complex dependencies, multi-session projects
Breaks complex operations into systematic, trackable tasks with persistent memory. Maintains context across sessions and coordinates multi-step workflows with hierarchical task organization.
Key Benefits:
Example Scenario:
Building authentication system across multiple sessions
Creates task hierarchy, tracks progress, remembers decisions across sessions, and coordinates implementation phases systematically.
Introspection Mode
Error recovery, complex problem solving, process optimization
Analyzes its own reasoning and decision-making process with transparent thinking. Helps optimize approaches, learn from previous interactions, and improve decision quality through meta-cognitive analysis.
Key Benefits:
Example Scenario:
Debugging approach fails to identify root cause
Analyzes its own reasoning, identifies gaps in the approach, adjusts methodology, and provides insight into better debugging strategies.
Adaptive Mode Selection
Automatic Detection
Modes activate automatically based on your input patterns, keywords, and context complexity
Dynamic Switching
Seamlessly switches between modes as your conversation evolves and requirements change
Manual Control
Use flags like --brainstorm or --introspect to manually activate specific modes when needed
Common Mode Combinations
Discovery Phase
π§ Brainstorming + π Task Management
Transform vague ideas into organized task hierarchies with clear deliverables and timelines
Complex Implementation
β‘ Orchestration + π Token-Efficiency
Coordinate multiple tools efficiently while maintaining compressed, clear communication
Debugging Session
π Introspection + β‘ Orchestration
Systematic problem analysis with transparent reasoning and optimal tool selection
Long-term Project
π Task Management + π Token-Efficiency
Maintain project continuity across sessions with efficient context preservation
Behavioral
Flags
Fine-tune GemBoost's behavior with powerful flags that control analysis depth, tool selection, execution patterns, and safety measures for professional development workflows.
Behavioral Modes
Activate specific behavioral patterns for different types of work
--brainstorm
Collaborative discovery mindset with guided questioning
--introspect
Meta-cognitive analysis with transparent thinking process
--task-manage
Hierarchical task organization with persistent memory
--orchestrate
Intelligent tool selection and resource optimization
MCP Server Control
Enable specialized MCP servers for enhanced capabilities
--c7
Context7 for official documentation and framework patterns
--seq
Sequential for complex multi-step reasoning
--magic
Magic for modern UI component generation
--play
Playwright for browser automation and testing
--morph
Morphllm for bulk code transformations
--serena
Serena for semantic understanding and persistence
Analysis Depth
Control the depth and thoroughness of analysis operations
--think
Standard structured analysis with moderate depth
--think-hard
Deep analysis for architectural and system-wide dependencies
--ultrathink
Maximum depth analysis for critical system redesign
Execution Control
Fine-tune execution behavior and safety measures
--uc
Ultra-compressed communication for efficiency
--loop
Iterative improvement cycles with validation gates
--validate
Pre-execution risk assessment and validation
--safe-mode
Maximum validation with conservative execution
--delegate
Enable sub-agent parallel processing
Common Flag Combinations
Quick Development
/gb:implement --magic --c7 --uc
Fast UI development with documentation lookup and compressed output
Complex Analysis
/gb:analyze --ultrathink --seq --validate
Deep system analysis with validation and structured reasoning
Safe Production
/gb:troubleshoot --safe-mode --validate --introspect
Maximum safety for production debugging with transparent reasoning
Large Projects
/gb:task --delegate --serena --orchestrate
Coordinated multi-agent approach with session persistence
5 Powerful
MCP Servers
Professional-grade tools working seamlessly together through the Model Context Protocol. Each server brings specialized capabilities that extend GemBoost's core functionality.
Context7
Official Documentation Lookup
Access up-to-date documentation and best practices for frameworks and libraries. Never rely on outdated informationβalways get current patterns and official recommendations.
Core Capabilities:
Best For:
Works With:
Sequential
Complex Multi-Step Analysis
Sophisticated reasoning engine for architectural decisions, debugging complex issues, and systematic problem-solving. Breaks down complex problems into manageable analytical steps.
Core Capabilities:
Best For:
Works With:
Firecrawl
Web Scraping & Content Extraction
Advanced web scraping and content extraction capabilities for gathering real-time information from websites, documentation, and online resources.
Core Capabilities:
Best For:
Works With:
Playwright
Real Browser Testing & Automation
E2E testing, visual validation, and automated browser interactions. Professional testing infrastructure with real browser rendering and comprehensive test coverage.
Core Capabilities:
Best For:
Works With:
Serena
Session Persistence & Memory
Maintains project context across sessions, enabling long-term development workflows and continuous learning. Semantic code understanding with project memory.
Core Capabilities:
Best For:
Works With:
How MCP Servers Work Together
π Intelligent Coordination
Servers automatically coordinate based on your request. Context7 provides documentation, Sequential analyzes the approach, and Magic generates the implementation.
β‘ Parallel Processing
Multiple servers can work simultaneously. While Playwright runs tests, Morphllm updates code patterns, and Serena maintains session context.
π― Specialized Expertise
Each server is optimized for its specific domain. No one-size-fits-all approachβ just the right tool for each specific task.
π Contextual Handoffs
Servers pass context intelligently. Sequential's analysis informs Magic's component generation, which then guides Playwright's testing strategy.
π Performance Optimized
Each server is built for efficiency. Morphllm compresses operations, Context7 caches documentation, and Serena persists only essential context.
π‘οΈ Safe Integration
Controlled access and validation ensure servers can't interfere with each other. Clean interfaces and proper error handling throughout.