D:\Git\Werapol\AutonomousAgent\
├── .claude-plugin/
│ └── plugin.json # Plugin manifest (v7.15.0)
│
├── agents/ # 31 specialized agents
│ ├── orchestrator.md # Main autonomous controller
│ ├── code-analyzer.md # Code analysis specialist
│ ├── quality-controller.md # Quality assurance & auto-fix
│ ├── background-task-manager.md # Background task orchestration
│ ├── test-engineer.md # Test generation & fixing (enhanced v2.0)
│ ├── documentation-generator.md # Documentation maintenance
│ ├── learning-engine.md # Automatic learning (v1.1+)
│ ├── performance-analytics.md # Performance insights (v1.2+)
│ ├── smart-recommender.md # Intelligent recommendations (v1.3+)
│ ├── validation-controller.md # Proactive validation (v1.7+)
│ ├── frontend-analyzer.md # TypeScript, React, builds (v2.0)
│ ├── api-contract-validator.md # API synchronization (v2.0)
│ ├── build-validator.md # Build configuration (v2.0)
│ ├── version-release-manager.md # Version/release management (v4.1.0)
│ ├── research-strategist.md # Research planning (v7.15.0)
│ ├── research-executor.md # Research execution (v7.15.0)
│ ├── research-validator.md # Research validation (v7.15.0)
│ ├── frontend-design-enhancer.md # Design enhancement (v7.15.0)
│ └── [Plus 10 additional specialized agents]
│
├── skills/ # 23 knowledge packages
│ ├── pattern-learning/ # Pattern recognition system
│ ├── code-analysis/ # Code analysis methodologies
│ ├── quality-standards/ # Quality benchmarks
│ ├── testing-strategies/ # Test design patterns
│ ├── documentation-best-practices/ # Documentation standards
│ ├── validation-standards/ # Tool validation (v1.7+)
│ ├── fullstack-validation/ # Full-stack methodology (v2.0)
│ ├── model-detection/ # Cross-model compatibility (v3.0+)
│ ├── performance-scaling/ # Performance optimization (v3.0+)
│ ├── contextual-pattern-learning/ # Enhanced patterns (v3.0+)
│ ├── ast-analyzer/ # Abstract syntax trees (v3.0+)
│ ├── security-patterns/ # Security analysis (v3.0+)
│ ├── research-methodology/ # Research techniques (v7.15.0)
│ ├── source-verification/ # Citation validation (v7.15.0)
│ ├── frontend-aesthetics/ # Design principles (v7.15.0)
│ ├── web-artifacts-builder/ # React + Tailwind patterns (v7.15.0)
│ └── [Plus 5 additional specialized skills]
│
├── commands/ # 40 slash commands (8 categories)
│ ├── dev/ # Development workflows
│ │ ├── auto.md # Autonomous development
│ │ ├── commit.md # Intelligent commits (v5.4+)
│ │ ├── release.md # Release management
│ │ ├── model-switch.md # Model switching
│ │ └── pr-review.md # Pull request review
│ ├── analyze/ # Analysis commands
│ │ ├── project.md # Autonomous project analysis
│ │ ├── quality.md # Quality control with auto-fix
│ │ ├── static.md # Static code analysis
│ │ ├── dependencies.md # Dependency vulnerability scan
│ │ ├── explain.md # Explain without modification (v5.4+)
│ │ └── repository.md # Analyze external repos (v5.4+)
│ ├── validate/ # Validation commands
│ │ ├── all.md # Comprehensive validation
│ │ ├── fullstack.md # Full-stack validation (v2.0)
│ │ ├── plugin.md # Plugin validation
│ │ └── patterns.md # Pattern validation
│ ├── learn/ # Learning commands
│ │ ├── init.md # Initialize pattern learning
│ │ ├── analytics.md # Learning analytics
│ │ ├── performance.md # Performance dashboard
│ │ ├── predict.md # Predictive analytics
│ │ ├── history.md # Learn from history (v5.4+)
│ │ └── clone.md # Clone features (v5.4+)
│ ├── workspace/ # Workspace management
│ │ ├── organize.md # Workspace organization
│ │ ├── reports.md # Report organization
│ │ ├── improve.md # Plugin improvement
│ │ ├── update-readme.md # Intelligent README (v5.4+)
│ │ └── update-about.md # GitHub About (v5.4+)
│ ├── research/ # Research commands (v7.15.0)
│ │ └── structured.md # Systematic research
│ ├── design/ # Design commands (v7.15.0)
│ │ └── enhance.md # Frontend enhancement
│ └── [Plus 2 additional command categories]
│
├── lib/ # 112+ Python utilities
│ ├── exec_plugin_script.py # Cross-platform executor (v5.6+)
│ ├── plugin_path_resolver.py # Dynamic path discovery (v5.6+)
│ ├── research_planner.py # Research planning utility (v7.15.0)
│ ├── research_synthesizer.py # Research synthesis (v7.15.0)
│ ├── analysis/ # Testing and analysis utilities
│ ├── assessments/ # Assessment scripts
│ ├── fixes/ # Auto-fix utilities
│ ├── migration/ # Migration tools
│ ├── scripts/ # Test and validation scripts
│ └── [100+ additional utility scripts]
│
├── patterns/ # Auto-fix patterns (v2.0)
│ └── autofix-patterns.json # 24 patterns, 89% success rate
│
├── data/ # Centralized data storage
│ ├── databases/ # Database files and storage
│ └── reports/ # Consolidated reports
│ ├── current/ # Current reports
│ ├── validation/ # Validation reports
│ └── archive/ # Historical reports
│
├── docs/ # 296 documentation files
│ ├── guidelines/ # Development guidelines
│ ├── implementation/ # Implementation details
│ └── [Additional documentation]
│
├── README.md # Complete usage guide
├── STRUCTURE.md # This file
├── CLAUDE.md # Development guidelines
├── DISTRIBUTION_VALIDATION_REPORT.md # Validation results
└── CHANGELOG.md # Version history
| Agent | Purpose | Tools | Key Features |
|---|---|---|---|
| orchestrator | Autonomous decision-making and delegation | Task, Read, Write, Edit, Bash, Grep, Glob, TodoWrite | Pattern learning, skill auto-selection, quality assessment |
| code-analyzer | Code structure and complexity analysis | Read, Grep, Glob, Bash | Refactoring detection, pattern recognition, metrics |
| quality-controller | Quality assurance and auto-correction | Read, Write, Edit, Bash, Grep, Glob | Testing, standards, docs, auto-fix loop |
| background-task-manager | Parallel background task execution | Task, Read, Grep, Glob, Bash | Non-blocking analysis, continuous monitoring |
| test-engineer | Test creation and maintenance | Read, Write, Edit, Bash, Grep, Glob | Test generation, coverage improvement |
| documentation-generator | Documentation generation | Read, Write, Edit, Grep, Glob | Docstring creation, API docs, README |
| Skill | Purpose | Used By |
|---|---|---|
| pattern-learning | Pattern recognition and storage system | orchestrator, all agents |
| code-analysis | Code analysis methodologies and metrics | code-analyzer, orchestrator |
| quality-standards | Quality benchmarks and standards | quality-controller, orchestrator |
| testing-strategies | Test design and coverage strategies | test-engineer, quality-controller |
| documentation-best-practices | Documentation templates and standards | documentation-generator |
| Command | Purpose | Triggers |
|---|---|---|
/analyze:project |
Comprehensive autonomous project analysis | orchestrator → code-analyzer + background tasks |
/analyze:quality |
Full quality control with auto-fixing | orchestrator → quality-controller |
/learn:init |
Initialize pattern learning database | orchestrator → pattern database setup |
User: "Refactor the authentication module"
↓
orchestrator
├─ Analyzes: refactoring + auth + Python
├─ Auto-loads: code-analysis, quality-standards, pattern-learning
├─ Checks patterns: Similar task found (95% success rate)
└─ Decides: Use code-analyzer + background security scan
↓
┌───┴────────────────────┐
↓ ↓
code-analyzer background-task-manager
(main task) (parallel)
├─ Structure analysis ├─ Security scan
├─ Complexity check └─ Dependency check
└─ Refactoring plan
↓ ↓
Implementation Background results
↓ ↓
└────────┬───────────────┘
↓
quality-controller
(auto quality check)
├─ Tests: ✓ 100% passing
├─ Standards: ✓ 98%
├─ Docs: ✓ Complete
└─ Score: 96/100 ✓
↓
Pattern storage
(learned-patterns.json)
↓
Return: Refactored code + quality report
User: "Check code quality"
↓
orchestrator → quality-controller
↓
Initial Assessment
├─ Tests: 45/50 (90%)
├─ Standards: 23 violations
├─ Docs: 60% coverage
└─ Score: 68/100 ❌ (below 70)
↓
Auto-Correction Loop
├─ test-engineer: Fix 5 failing tests
├─ Auto-format: Fix 15 style violations
└─ documentation-generator: Add 10 docstrings
↓
Re-Assessment
├─ Tests: 50/50 (100%)
├─ Standards: 8 violations (minor)
├─ Docs: 85% coverage
└─ Score: 84/100 ✓
↓
Pattern storage + Report
.claude-patterns/patterns.json- Pattern database- Automatic pattern detection and storage
- Skill effectiveness tracking
- Task history logging
- Task type analysis
- Context extraction (language, framework)
- Pattern database queries
- Historical success matching
- Progressive disclosure loading
- Parallel execution via background-task-manager
- Non-blocking main workflow
- Security scanning
- Performance analysis
- Documentation updates
- Continuous monitoring
- Automated testing (run, analyze, fix)
- Standards validation (lint, format, naming)
- Documentation verification (coverage, completeness)
- Pattern adherence checking
- Auto-correction loop (iterate until quality ≥ 70)
- No human approval required for each step
- Self-directed workflow execution
- Agent delegation based on task analysis
- Quality self-assessment
- Pattern-based learning and improvement
Quality Score (0-100) =
Tests Passing (30 points) +
Standards (25 points) +
Documentation (20 points) +
Pattern Adherence (15 points) +
Code Metrics (10 points)
Threshold: 70/100
If score < 70: Auto-correction loop triggered
If score ≥ 70: Task marked complete
Located at: .claude-patterns/patterns.json (auto-created)
{
"version": "1.0.0",
"project_context": {
"detected_languages": ["python", "javascript"],
"frameworks": ["flask", "react"],
"project_type": "web-application"
},
"patterns": [
{
"id": "pattern-001",
"task_type": "refactoring",
"context": {...},
"execution": {
"skills_used": ["code-analysis", "quality-standards"],
"agents_delegated": ["code-analyzer"]
},
"outcome": {
"success": true,
"quality_score": 96
},
"reuse_count": 5
}
],
"skill_effectiveness": {
"code-analysis": {
"success_rate": 0.93,
"recommended_for": ["refactoring", "bug-fix"]
}
}
}-
Install Plugin:
# Plugin already in D:\Git\Werapol\AutonomousAgent\ # Claude Code will auto-detect it
-
Initialize Pattern Learning (for new projects):
/learn:init -
Use Autonomously:
"Refactor the authentication module" "Add tests for payment processing" "Improve code quality" -
Run Quality Checks:
/analyze:quality -
Analyze Project:
/analyze:project -
Workspace Organization:
/workspace:organize
- Orchestrator delegates based on task type
- Agents execute with focused expertise
- Results integrated by orchestrator
- Agents reference skills in system prompts
- Skills loaded via progressive disclosure
- Skills provide domain expertise
- All agents contribute to pattern database
- Orchestrator queries patterns for decisions
- Continuous improvement feedback loop
- Background tasks run in parallel
- Non-blocking execution
- Results integrated when available
- Critical findings interrupt workflow
Brain (Orchestrator):
- Strategic planning
- Decision making
- Quality assessment
- Pattern learning
Hand (Skills + Agents):
- Specialized execution
- Domain expertise
- Task completion
- Detailed work
Result: True autonomous operation without human intervention at each step.