oracle supreme squad

Squad de análise profunda de codebase e aprendizado contínuo. Escaneia um repositório em múltiplas dimensões (estrutura, semântica, histórico git, dependências), detecta padrões e anti-padrões de design, prevê dívida técnica e drift de arquitetura, valida tudo num gate de qualidade rigoroso e consolida os aprendizados num grafo de conhecimento persistente para transfer learning entre projetos.

8installs
SAFE
codebase-analysispattern-detectionknowledge-graphtechnical-debtcode-qualitytransfer-learningsoftware-engineering
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🔮 Oracle Supreme Squad

The most advanced AI squad for codebase analysis, bug detection, and intelligent learning.

Beyond traditional squads - Oracle combines infinite memory, adaptive reasoning, and LSP-powered code intelligence to help you understand, fix, and improve your projects.


🎯 What Oracle Does For You

1. Fix Bugs Intelligently

Oracle doesn't just find bugs - it understands context, predicts root causes, and suggests fixes based on patterns learned from your entire codebase.

Example:

bash
# Analyze a crashing feature
oracle-scanner *deep-scan ./src/payments/
oracle-prophet *detect-patterns [scanner-output]
oracle-healer *diagnose-and-fix bug="payment fails on retry"

# Oracle will:
# - Scan your payment code deeply
# - Detect anti-patterns (like missing error handling)
# - Propose a fix with tests
# - Learn from this for future bugs

2. Learn Your Codebase Faster

New to a project? Oracle builds a knowledge graph of your code, showing you how everything connects.

Example:

bash
# Understand a complex feature
oracle-scanner *analyze ./src/auth/
oracle-architect *explain-design component="authentication flow"

# Oracle will:
# - Map all auth-related files
# - Show you the architecture patterns
# - Explain design decisions
# - Generate visual diagrams

3. Generate Perfect Documentation

Oracle understands your code semantically (via LSP) and generates docs that actually make sense.

Example:

bash
# Document your API
oracle-scanner *scan ./api/
oracle-scribe *generate-docs format="markdown" include="examples"

# Oracle will:
# - Extract API endpoints and types
# - Generate usage examples
# - Create README with code samples
# - Update on every change

4. Optimize Performance

Oracle tracks costs, detects bottlenecks, and suggests optimizations based on real data.

Example:

bash
# Find performance issues
oracle-scanner *profile ./src/
oracle-optimizer *find-bottlenecks threshold="100ms"

# Oracle will:
# - Profile your code execution
# - Detect slow queries/loops
# - Suggest caching strategies
# - Estimate performance gains

5. Security Audit

Oracle validates security best practices and detects vulnerabilities before they ship.

Example:

bash
# Security check before deploy
oracle-guardian *audit ./src/ depth="deep"

# Oracle will:
# - Check OWASP Top 10 vulnerabilities
# - Detect hardcoded secrets
# - Validate input sanitization
# - Suggest security patches

🚀 Quick Start

Installation

bash
# Clone or install via AIOS marketplace
git clone https://github.com/gutomec/oracle-supreme-squad.git
cd oracle-supreme-squad

# Validate (should show 100/100)
squads validate .

Your First Oracle Session

Scenario: Debug a failing test

bash
# 1. Activate Oracle
squad activate oracle-supreme-squad

# 2. Scan the failing module
oracle-scanner *deep-scan ./tests/integration/checkout.test.ts

# 3. Detect patterns and anti-patterns
oracle-prophet *analyze [scanner-output]

# 4. Oracle-critic validates findings (automatic quality gate)
# (Oracle-critic runs automatically with 9.0/10 threshold)

# 5. Get fix suggestions
oracle-healer *suggest-fix test="checkout calculates tax incorrectly"

# 6. Oracle remembers this bug pattern for next time
# (Oracle-memory consolidates learnings automatically)

What you get:

  • Deep analysis of test failure
  • Root cause identification
  • Suggested fix with explanation
  • Test cases to prevent regression
  • Pattern saved for future similar bugs

💡 Real-World Use Cases

Use Case 1: Onboarding to Legacy Code

Problem: You inherited a 50K line codebase with zero docs.

Solution:

bash
# Build knowledge graph
oracle-scanner *full-scan ./src/
oracle-architect *map-architecture

# Generate executive summary
oracle-memory *query type="architecture" 

# Create documentation
oracle-scribe *document-codebase depth="comprehensive"

Result: Complete architecture map, design patterns identified, auto-generated docs.


Use Case 2: Refactoring Safely

Problem: Need to refactor a critical module without breaking things.

Solution:

bash
# Analyze current state
oracle-scanner *analyze ./src/billing/

# Detect dependencies
oracle-prophet *find-dependencies module="billing"

# Plan refactoring
oracle-architect *design-refactor target="billing" goal="extract-payment-service"

# Implement with LSP guidance (no regex, semantic operations)
oracle-forge *implement-refactor plan=[architect-output] mode="tdd"

# Validate quality
oracle-critic *validate threshold=9.0

Result: Safe refactor with tests, zero regressions, improved architecture.


Use Case 3: Performance Optimization

Problem: API response times are slow but you don't know why.

Solution:

bash
# Profile the code
oracle-scanner *profile ./api/ include-traces=true

# Detect bottlenecks
oracle-optimizer *analyze-performance target="api-endpoints"

# Get optimization plan
oracle-optimizer *suggest-optimizations impact="high" effort="low"

# Oracle remembers what worked
oracle-memory *query type="optimization" context="api-performance"

Result: Specific bottlenecks identified, optimization suggestions ranked by ROI.


Use Case 4: Learning From Bugs

Problem: Same types of bugs keep appearing in your codebase.

Solution:

bash
# After fixing a bug, consolidate the learning
oracle-memory *consolidate session=[current-session]

# Later, when Oracle sees similar code:
oracle-prophet *predict-issues file="./src/new-feature.ts"

# Oracle will warn: "This pattern caused bug #127 before"

Result: Oracle prevents recurring bugs by learning from history.


🧬 Key Features

1. Infinite Memory

  • Never forgets patterns, bugs, or solutions
  • Learns from every project you work on
  • Cross-project knowledge transfer
  • 3-level hierarchy: global / project / session

2. Adaptive Thinking

  • Automatically adjusts reasoning depth based on complexity
  • Simple tasks: instant responses
  • Complex tasks: deep analysis with extended reasoning
  • Saves costs by not over-thinking simple problems

3. LSP-Powered Code Intelligence

  • Go-to-definition (semantic, not regex)
  • Find all references
  • Rename symbols safely
  • Type-aware code generation
  • Diagnostics integration

4. Quality Gates (9.0/10 threshold)

  • Oracle-critic validates ALL outputs
  • VETO power (nothing bypasses validation)
  • 28% more rigorous than standard squads
  • Prevents low-quality suggestions

5. Self-Healing

  • Detects when plans fail
  • Automatically adjusts strategy
  • Learns from failures
  • Improves over time

📋 Available Agents

Perception Layer

  • oracle-scanner 🔍 - Deep context analysis, multi-dimensional scanning
  • oracle-prophet 🔮 - Pattern detection, evolution prediction, technical debt forecasting

Intelligence Layer

  • oracle-critic ⚖️ - Rigorous validation with VETO power (9.0/10 threshold)

Execution Layer

  • oracle-forge ⚒️ - LSP-guided TDD implementation, type-safe code generation

Evolution Layer

  • oracle-memory 🧠 - Infinite memory, knowledge graphs, transfer learning

🎓 How Oracle Learns

Oracle builds a knowledge graph of everything it analyzes:

.oracle-state/
├── global/              # Cross-project learnings
│   ├── patterns/        # Design patterns catalog
│   ├── learnings/       # Bug patterns, solutions
│   └── embeddings/      # For semantic search
├── projects/            # Per-project knowledge
│   └── your-project/
│       ├── context/
│       └── decisions/
└── sessions/            # Per-session work

What gets learned:

  • Patterns that work (and don't work)
  • Common bugs and their fixes
  • Architecture decisions and rationale
  • Performance optimizations that succeeded
  • Security vulnerabilities detected

How it helps:

  • Suggests fixes based on similar past bugs
  • Warns about anti-patterns you've seen before
  • Recommends architectures that worked in similar projects
  • Auto-completes based on your coding style

⚙️ Configuration

LSP Integration

Oracle uses Language Server Protocol for semantic code operations.

json
// config/lsp-config.json
{
  "lsp": {
    "languages": {
      "typescript": {
        "server": "typescript-language-server",
        "rootPatterns": ["tsconfig.json"]
      },
      "python": {
        "server": "pylsp",
        "rootPatterns": ["setup.py"]
      }
    }
  }
}

Memory Settings

json
// config/memory-config.json
{
  "memory": {
    "hierarchical": true,
    "levels": {
      "global": {
        "promotionThreshold": 0.8  // High-confidence learnings go global
      }
    },
    "compaction": {
      "strategy": "wave-compress",
      "threshold": 100000
    }
  }
}

Adaptive Thinking

json
// config/thinking-budget-config.json
{
  "thinking": {
    "adaptive": true,
    "modes": {
      "disabled": { "budget": 0 },      // Simple tasks
      "enabled": { "budget": 3000 },    // Medium complexity
      "adaptive": { "budget": 5000 }    // Complex reasoning
    }
  }
}

🔄 Workflows

Oracle Insight Pipeline

Complete end-to-end codebase analysis:

bash
squad workflow oracle-insight-pipeline context="Analyze authentication module"

# Pipeline runs:
# 1. oracle-scanner → Deep scan
# 2. oracle-prophet → Pattern detection  
# 3. oracle-critic → Quality validation
# 4. oracle-forge → Fix implementation (if needed)
# 5. oracle-memory → Learning consolidation

📊 Success Metrics

Oracle tracks and optimizes:

  • Quality Score: All outputs must meet 9.0/10 threshold
  • Cost Efficiency: Auto-suggests model downgrades when possible
  • Pattern Confidence: Only learns from high-confidence insights (>= 0.8)
  • Fix Success Rate: Tracks which suggestions actually worked

🆚 Oracle vs Other Squads

FeatureStandard SquadOracle Supreme
Quality Threshold7.0/109.0/10 (+28%)
MemorySession-onlyInfinite
LearningNoneCross-project
LSP Integration✅ Full suite
Adaptive Thinking✅ Auto-adjusts
Code IntelligenceRegexSemantic (LSP)
Self-Healing✅ Learns from failures

🤝 Contributing

Oracle Supreme Squad is designed to grow smarter over time. Contributions welcome:

  1. New Patterns: Add to oracle-prophet pattern catalog
  2. Bug Signatures: Extend oracle-healer bug detection
  3. Optimizations: Contribute to oracle-optimizer suggestions
  4. Documentation: Improve oracle-scribe templates

📝 License

MIT



Oracle Supreme Squad - Because your code deserves more than guesswork. 🔮✨

Built with advanced patterns for developers who demand excellence.

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