Skill UI

Expert guidance for building successful AI wrapper products that solve specific problems and generate revenue. Covers product strategy, prompt engineering, cost optimization, model selection, AI UX, and usage metering. Ideal for developers and entrepreneurs creating AI-powered SaaS tools.

Enables agents to perform authorized security assessments, blue team exercises, and penetration testing on AI products, agents, and infrastructure. Uses first-principles reasoning to identify vulnerabilities like prompt injection and tool abuse, generating evidence-based security reports without relying solely on payload libraries.

AKF is the native metadata format specifically designed for tracking AI-generated or AI-modified content. It allows users to stamp files (including DOCX, PDF, images, and code) with detailed trust scores, source provenance, and compliance metadata. This tool is essential for professional workflows requiring strict auditing, compliance assurance, and verifiable data lineage, especially concerning regulations like the EU AI Act, HIPAA, and SOX.

This skill enables AI agents to detect and resist user pressure, manufactured urgency, and authority appeals before responding. It separates evidence from persuasion, states uncertainty, and ensures honest behavior by invoking an integrity scaffold tool. It prevents sycophantic collapse and confidently-wrong answers, enhancing decision integrity.

This skill enables users to generate images and videos using the Atlas Cloud asynchronous media API. It includes model discovery, schema validation, task submission, and safe polling for results. Requires an API key and HTTPS calls. Suitable for workflows needing media generation without bundling SDKs.

This skill enables independent auditing of AI agent, gateway, or automation workflow runs. It reconstructs events from traces, checkpoints, and tool calls to verify success claims without trusting self-reports. Users establish contracts, build claim ledgers, normalize evidence, rank witnesses, and assign verdicts like proven or contradicted. It ensures integrity in multi-step automation and separates autonomous success from human-assisted outcomes.

Autonomous agents are AI systems capable of independent goal decomposition, action planning, tool execution, and self-correction without constant human guidance. This skill focuses on ensuring reliability in agent loops like ReAct and Plan-Execute, managing context usage, and handling compounding error rates. It emphasizes building constrained, domain-specific agents for production reliability rather than unrestricted autonomy.

Python SDK for Azure AI Content Understanding service. Enables multimodal content extraction from documents, images, audio, and video files. Supports prebuilt analyzers for RAG and custom field extraction for automated workflows. Ideal for developers building AI-driven applications.

Extract text, tables, and structured data from documents using the Azure AI Document Intelligence .NET SDK with prebuilt and custom models.

Extract text, tables, and structured data from documents using Azure AI Document Intelligence REST SDK for TypeScript. Supports prebuilt models for invoices, receipts, ID documents, and custom model training.

Azure AI Document Translation SDK for Python enables batch translation of documents with format preservation. Supports Word, PDF, Excel, PowerPoint, and more. Use for scalable document translation with multi-language targets, glossaries, and status tracking.

This skill systematically probes an AI model's core behavioral patterns across six critical dimensions, including reasoning, refusal, formatting, and grounding. It generates a comprehensive, styled HTML report with radar charts and actionable insights, allowing users to understand a model's true capabilities, compare different models, or perform compliance and red-team assessments without needing an external API key.