Skill UI

Automates guidance for Attack Surface Analyzer within the Security Advanced domain, offering best practices, code snippets, and validation to help with penetration testing, compliance, and threat modeling workflows.

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.

Prepares codebases for Trail of Bits security reviews by setting goals, running static analysis, expanding test coverage, pruning dead code, documenting build scope/access, and generating flowcharts, user stories, glossaries, and other reviewer-ready artifacts.

Prepares codebases for Trail of Bits security reviews by setting goals, running static analysis, expanding test coverage, pruning dead code, documenting build scope/access, and generating flowcharts, user stories, glossaries, and other reviewer-ready artifacts.

Automates audit trail helper guidance within Enterprise Workflows, triggering when users ask about governance, compliance, project management, or integration patterns and delivering best-practice steps, code, and validation support.

Automates audit trail helper guidance within Enterprise Workflows, triggering when users ask about governance, compliance, project management, or integration patterns and delivering best-practice steps, code, and validation support.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

This comprehensive workflow automates the creation of C4 architectural documentation for any codebase. It utilizes a bottom-up analysis approach, starting by analyzing code details (Code Level), synthesizing them into logical components, mapping containers, and finally establishing the high-level system context. Ideal for documenting complex, existing systems and ensuring comprehensive technical knowledge transfer.