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.
🔮 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:
# 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 bugs2. Learn Your Codebase Faster
New to a project? Oracle builds a knowledge graph of your code, showing you how everything connects.
Example:
# 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 diagrams3. Generate Perfect Documentation
Oracle understands your code semantically (via LSP) and generates docs that actually make sense.
Example:
# 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 change4. Optimize Performance
Oracle tracks costs, detects bottlenecks, and suggests optimizations based on real data.
Example:
# 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 gains5. Security Audit
Oracle validates security best practices and detects vulnerabilities before they ship.
Example:
# 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
# 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
# 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:
# 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:
# 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=9.0Result: 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:
# 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:
# 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.
// config/lsp-config.json
{
"lsp": {
"languages": {
"typescript": {
"server": "typescript-language-server",
"rootPatterns": ["tsconfig.json"]
},
"python": {
"server": "pylsp",
"rootPatterns": ["setup.py"]
}
}
}
}Memory Settings
// 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
// 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:
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
| Feature | Standard Squad | Oracle Supreme |
|---|---|---|
| Quality Threshold | 7.0/10 | 9.0/10 (+28%) |
| Memory | Session-only | Infinite |
| Learning | None | Cross-project |
| LSP Integration | ❌ | ✅ Full suite |
| Adaptive Thinking | ❌ | ✅ Auto-adjusts |
| Code Intelligence | Regex | Semantic (LSP) |
| Self-Healing | ❌ | ✅ Learns from failures |
🤝 Contributing
Oracle Supreme Squad is designed to grow smarter over time. Contributions welcome:
- New Patterns: Add to
oracle-prophetpattern catalog - Bug Signatures: Extend
oracle-healerbug detection - Optimizations: Contribute to
oracle-optimizersuggestions - Documentation: Improve
oracle-scribetemplates
📝 License
MIT
🔗 Links
- Repository: https://github.com/gutomec/oracle-supreme-squad
- Validation: 100/100 ✅
- Status: Production Ready
Oracle Supreme Squad - Because your code deserves more than guesswork. 🔮✨
Built with advanced patterns for developers who demand excellence.
المراجعات
0 مراجعةلا توجد مراجعات بعد. كن أول من يراجع هذا الفريق!
المزيد من Luiz Rodrigues
squad forge
Squad meta de desenvolvimento, otimização e evolução de squads agênticos — cria, valida, otimiza e moderniza qualquer artefato de squad (agentes, tasks, workflows, skills, squads inteiros, templates) com perfeição de formato, e mantém a própria base de conhecimento atualizada via pesquisa web.
ultimate landingpage
Squad fullstack para criação de landing pages de ultra-alta conversão — pipeline end-to-end com 9 agentes: discovery de produto, pesquisa de mercado e experts de copywriting, design system atômico com contraste WCAG AAA e light/dark, geração de imagens por IA, frontend Next.js com SEO e acessibilidade, backend Python FastAPI com admin panel e exportação CSV, integrações WhatsApp e email, e QA multidimensional com score por dimensão
data quality guardian
Squad especialista em qualidade de dados — profiling de datasets, detecção de anomalias, validação de schemas, geração de relatórios de qualidade e sugestão de remediações automatizadas para pipelines de dados
incident response squad
Squad especialista em resposta a incidentes para DevOps/SRE — análise de logs multi-source, correlação de causa raiz, execução de runbooks de remediação, comunicação de status e geração de post-mortems blameless
brandcraft
Squad de produção de entregáveis visuais brand-consistent: extrai design systems de URLs (Refero + live extraction), gera PDFs, PPTX, posts sociais, carrosséis e vídeos programáticos por dois caminhos (Veo 3.1 + Remotion para footage de IA; HyperFrames HTML-first determinístico para motion-design, data-viz e explainer), faz auditoria competitiva de marca, aplica um quality gate awwwards de 24 itens e um arsenal de 112 bibliotecas de UI nos HTMLs/PDFs/animações, e valida acessibilidade WCAG 2.2 AA. Pipeline com 16 agentes especializados e 16 workflows.
nirvana squad creator
Gera squads v5-compliant a partir de linguagem natural — pipeline de 11 fases começando com intent archaeology + pesquisa web (2026), depois análise grounded, geração, otimização, validação, README multi-idioma, deploy e publicação no squads.sh
notebooklm automation
Automação programática completa do Google NotebookLM — da criação de notebooks e curadoria de fontes à pesquisa por Q&A progressivo e geração de 10 formatos de conteúdo (podcast, vídeo, slides, quiz, flashcards, infográfico, mapa mental, tabela de dados, relatório), com download de artefatos orquestrado por pipeline inteligente. Suporta 50+ idiomas e error handling cross-cutting (retry, re-auth, fallback de cota).
nirvana readme architect
Squad de geração de README.md perfeito e impecável, combinando análise profunda de codebase, seleção de template por tipo de projeto, todas as features do GitHub Flavored Markdown, validação com checklist de 25+ pontos e polimento final com badges e TOC.
soc alert triage
Squad especialista em triagem de alertas SOC para cybersecurity — classificação automatizada, filtragem de falsos positivos, priorização de ameaças, enriquecimento com threat intel e geração de briefs para analistas
adaptive tutor k12
Squad especialista em tutoria adaptativa K-12 — avaliação diagnóstica, mapeamento curricular personalizado, sessões de tutoria com dificuldade adaptativa, rastreamento de progresso e relatórios para pais e educadores
resume screener squad
Squad especialista em triagem de currículos para recrutamento — parsing automatizado de CVs, matching de skills com requisitos da vaga, auditoria de vieses, ranking de candidatos e geração de resumos executivos para hiring managers
automated code review squad
Squad especialista em code review automatizado — revisão de segurança, análise lógica, verificação de padrões arquiteturais, enforcement de coding standards e geração de review summaries priorizados para PRs e commits