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Domain reconnaissance coordinator that orchestrates subdomain discovery and port scanning to build comprehensive domain attack surface inventory

Penetration testing orchestrator that coordinates specialized attack agents. Provides attack indexes, methodology frameworks, and documentation. Execution delegated to specialized agents (SQL Injection, XSS, SSRF, etc.). Use for engagement planning and attack coordination.

USE WHEN starting work in a project that lacks a claude-leverage AGENTS.md (no `claude-leverage:` marker blocks at git root), or when user asks to set up the stack here. Drops AGENTS.md + `.gitignore` patterns + optional language-specific logging template + optional CLAUDE.md routing snippets. Interactive, idempotent via markers.

Generates Domain Entities following DDD principles with factory methods, private setters, domain events, and proper encapsulation. Supports aggregate roots, child entities, and value objects.

USE WHEN inheriting a legacy repo, when user asks "what's missing for AI-first work here?", "is this repo agent-ready?", "audit my repo", "is anything out of sync with the code?", or when the bare-repo-nudge / cheatsheet hook suggests a checkup. Read-only AI-readiness audit — scores ~20 dimensions across Foundation (AGENTS.md / CLAUDE.md / per-dir AGENTS.md), Why (ADRs + session logs), What (GLOSS

Generates Entity Framework Core configurations using Fluent API. Maps domain entities to database tables with proper relationships, constraints, and conventions.

Crie PDFs de guias de viagem com designs elegantes a partir de itinerários. O fluxo de trabalho completo, da pesquisa à exportação de PDF, apresenta ícones Tabler, decorações SVG e a estética de pergaminho do Claude, sem imagens geradas por IA.

Generates unit tests for command and query handlers using xUnit and NSubstitute. Implements Arrange-Act-Assert pattern with comprehensive test coverage for success and failure scenarios.

Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.

Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.

Comprehensive Go backend code review with optional parallel agents

Instruction dispatch pipeline for routing work items to available agents. Implements a 7-stage fetch-allocate-prepare-hook-store-launch-confirm pipeline with batch convoy mode, formula expansion, idempotent dispatch, and crash recovery.