Use when user needs security incident response, operational incident management, evidence collection, forensic analysis, or coordinated response for outages and breaches.
Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis
Guide architecture decisions using ADRs, trade-off analysis, pattern catalogs, and C4 diagrams for layered, hexagonal, event-driven, and CQRS patterns.
Build deep architectural understanding through ultra-granular code analysis. Use when doing security audits, code reviews, or getting oriented in an unfamiliar codebase.
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Enables Claude to conduct comprehensive research using Gemini Deep Research for in-depth analysis and reports
Expert at advanced debugging and root cause analysis. Use when troubleshooting complex issues, finding root causes of bugs, investigating performance problems, or analyzing system failures.
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Comprehensive Test Driven Development guide. Master testing, debugging, fixing bugs, QA workflows, unit tests, integration tests, and coverage analysis.
Security Incident Report templates drawing from NIST/SANS. DDoS post-mortem, CVE correlation, timeline documentation, and blameless root cause analysis.
Safe Rust refactoring with LSP analysis. Triggers on: /refactor, rename symbol, move function, extract, ้ๆ, ้ๅฝๅ, ๆๅๅฝๆฐ, ๅฎๅ จ้ๆ
Comprehensive Test Driven Development guide. Master testing, debugging, fixing bugs, QA workflows, unit tests, integration tests, and coverage analysis.
AI-powered test generation using pattern recognition, code analysis, and intelligent test synthesis for comprehensive test coverage.
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Use when user needs complex error pattern analysis, distributed system debugging, error correlation, root cause discovery, or predictive error prevention across microservices.
Systematic root cause analysis for bugs and unexpected behavior. Investigates, isolates, and either fixes simple issues directly or escalates to appropriate workflow.
Comprehensive GitHub repository analysis for engineering managers with contribution stats, code quality review, team health metrics, and actionable management outputs
Analyze text sentiment (positive/negative/neutral) with confidence scores, emotion detection, and visualization. Supports single text, CSV batch, and trend analysis.
Investigate data issues using lineage, intelligence, and history. Handles "why is this table stale", "what changed", "explain this alert", "root cause analysis", "debug this issue".
Multimodal media authentication and deepfake forensics. PRNU analysis, IGH classification, DQ detection, semantic forensics, and LLM-augmented sensemaking for the post-empirical era.