By bejranonda
Autonomous four-tier agent architecture that orchestrates specialized agents, skills, and commands for code analysis, quality enforcement, pattern learning, automated validation, documentation generation, and release management across multi-stack projects.
Scan dependencies for CVE vulnerabilities across 11 package managers with fix recommendations
Explain and analyze task, event, or code without making modifications - read-only review
Deep analysis of four-tier group behavior, collaboration patterns, and optimization recommendations
Autonomously analyze the project with automatic skill selection and pattern learning
Run comprehensive quality control with autonomous auto-fixing
Enhances frontend design quality by applying aesthetic principles, avoiding generic AI defaults, implementing distinctive typography/color/animations, and creating polished user experiences
Manages Git repositories, version control, GitHub/GitLab operations, and automated release workflows with intelligent branching strategies and documentation updates
Designs distributed AI consciousness across global networks with swarm intelligence protocols and hive-mind coordination for unprecedented collaboration
GUI validation, debugging, and performance monitoring specialist with automated diagnostics and issue resolution
Cross-model learning engine for automatic pattern capture, outcome analysis, and decision-making improvement
Deep Abstract Syntax Tree analysis for understanding code structure, dependencies, impact analysis, and pattern detection at the structural level across multiple programming languages
Comprehensive autonomous development strategies including milestone planning, incremental implementation, auto-debugging, and continuous quality assurance for full development lifecycle management
Comprehensive validation system for Claude Code plugins to ensure compliance with official plugin development guidelines and prevent installation failures
Provides methodologies, metrics, and best practices for analyzing code structure, complexity, and quality
Advanced contextual pattern recognition with project fingerprinting, semantic similarity analysis, and cross-domain pattern matching for enhanced learning capabilities
Uses power tools
Uses Bash, Write, or Edit tools
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Executables (bin/) — files in this plugin's bin/directory are added to the Bash tool's PATH while the plugin is enabled.
What if your AI agent got smarter and faster with every task?
🚀 Installation • 🎯 Quick Start • 📚 Commands • 🛠️ Features • 📊 Dashboard
Automatic Learning System | Privacy-First | Production-Ready Analysis | Real-Time Monitoring | KPI Intelligence | OWASP Security | Auto Fixes
The autonomous agent is now smarter and more organized than ever, with revolutionary category-based commands that learn from every task and comprehensive metrics intelligence that tracks every optimization! 🚀
Autonomous Agent Dashboard check-in! 🤖 7 Active Agents, 5 Skills, and a 97.5/100 Quality Score.
Complete Workflow Example:
# What do you need
/dev:auto "add user authentication" # Implement
# Prove and Release the project
/dev:release --minor # Release (2-3 min)
# Done! From requirement to released
Experience enterprise-grade autonomous intelligence that continuously evolves with every task.
A paradigm shift from static tools to living intelligence with 36 specialized agents across 4 collaborative groups (including the master orchestrator):
🏗️ Four-Tier Group Architecture (v8.0.0+)
npx claudepluginhub bejranonda/llm-autonomous-agent-plugin-for-claude --plugin autonomous-agentUniversal quality control orchestrator and final authority for any software development project. Dynamically discovers and coordinates with available sub-agents, performs comprehensive multi-dimensional quality assessment, security validation, and deployment readiness verification. Adapts to any project type, programming language, or development framework while maintaining enterprise-grade quality standards. Examples: <example>Context: Code changes ready for review across any project. user: 'Please review this code before commit' assistant: 'I'll use the 1-ceo-quality-control-agent to orchestrate comprehensive quality validation, discover available specialists, and perform final security scanning before approval.' <commentary>Universal quality control requires comprehensive validation across all dimensions regardless of project type.</commentary></example> <example>Context: Multi-agent work completion needing validation. user: 'Several agents completed their tasks, need quality review' assistant: 'Let me engage the 1-ceo-quality-control-agent to coordinate comprehensive validation across all completed work and ensure quality standards.' <commentary>Multi-agent coordination and quality validation applies to any development project.</commentary></example>
Multi-agent development workflow (/crew) — planning, implementation, review, documentation, evals, and audit gates. Commands, agents, and skills are auto-discovered from the repo.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
Personal Claude Code + Codex dev stack: security hooks, AI-first code conventions, /security-review, /repo-map, /stack-check, portable statusline. Designed to complement other skills-based plugins, not replace them.
OpenAgentsControl — multi-agent orchestration for Claude Code. Context-aware development with skills, subagents, parallel execution, and automated code review.
Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use