DevOps e Infra

Spatial and temporal convergence analysis with Richardson extrapolation and Grid Convergence Index (GCI) for solution verification

Provide ready-to-use Claude Code commands, subagents, hooks, skills, and configs to simplify setup and speed up development.

Reconstruct ancestral sequences at phylogenetic nodes using PAML and IQ-TREE marginal likelihood methods. Infer ancient protein sequences and trace evolutionary trajectories through sequence history. Use when inferring ancestral states for protein resurrection or tracing evolutionary history.

Provide ready-to-use Claude Code commands, subagents, hooks, skills, and configs to simplify setup and speed up development.

Process-based discrete-event simulation. Model queues, shared resources, timed events: manufacturing, service ops, network traffic, logistics. Processes are Python generators yielding events. Resources: capacity-limited (Resource/Priority/Preemptive), bulk (Container), objects (Store, FilterStore). For continuous use SciPy ODEs; for agent-based use Mesa.

Use when facing multi-criteria decisions like tech stack selection, architecture choices, or library comparisons. Applies the AHP (Analytic Hierarchy Process) framework to structure the decision into criteria hierarchies, perform multi-perspective pairwise comparisons, check consistency, score alternatives, and produce a ranked decision report with weighted trade-off analysis.

Verificação automatizada de conformidade com os benchmarks CIS, PCI-DSS, HIPAA e SOC 2.

Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Use when user provides meeting notes, transcripts, or recordings and needs structured summaries or action tracking.

Search and navigate large codebases efficiently. Use when finding specific code patterns, tracing function calls, understanding code structure, or locating bugs. Handles semantic search, grep patterns, AST analysis.

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

2-layer parallel agent hierarchy. Layer 1 deploys 3-50+ agents, each with independent context. Layer 2 adds 2+ sub-agents per member. No upper limit on either layer.

Dynamic application security testing (DAST) using OWASP ZAP (Zed Attack Proxy) with passive and active scanning, API testing, and OWASP Top 10 vulnerability detection. Use when: (1) Performing runtime security testing of web applications and APIs, (2) Detecting vulnerabilities like XSS, SQL injection, and authentication flaws in deployed applications, (3) Automating security scans in CI/CD pipelin