Skill UI

Assists ML Training workflows by automatically activating on confusion matrix generator requests, offering structured guidance, best-practice checks, and ready-to-use code snippets.

This guide provides a comprehensive technical deep dive for developers migrating image generation workflows from services like DALL-E, Midjourney, and Stable Diffusion to Ideogram. It covers API parameter mapping, architectural patterns (like the Adapter pattern), and provides code examples to ensure a stable, gradual, and feature-rich transition to Ideogram's platform.

An expert guide and framework for building production-grade, sophisticated AI agent systems. This skill specializes in utilizing the latest LangChain 0.1+ and LangGraph APIs to implement multi-agent orchestration, advanced Retrieval-Augmented Generation (RAG) pipelines (e.g., RAG Fusion, HyDE), and complex state management. It covers comprehensive topics from architectural design (Plan-and-Execute, ReAct Agents) to production deployment (FastAPI streaming, LangSmith observability, caching, and robust error handling).

This skill simulates a complete, multi-agent software development lifecycle following the principles of Agile and Scrum. It guides the project through six distinct, iterative phases: Architectural Planning, Parallel Implementation, Comprehensive Testing (Unit/E2E), Review, and Finalization. The process uses a convergent diffusion model, refining specifications and resolving conflicts across multiple specialized agents until the project converges and is deemed complete.

A comprehensive guide to leveraging Stable Diffusion models via the HuggingFace Diffusers library. This skill facilitates state-of-the-art image creation, including Text-to-Image generation from prompts, Image-to-Image translation, inpainting, outpainting, and advanced workflow building. Supports various models like SDXL and SD 3.0, ideal for professional creative and computational vision tasks.

Programmatic access to the COSMIC cancer mutation database for downloading mutations, Cancer Gene Census, mutational signatures, fusions, copy number, expression, and resistance data to fuel oncology research or bioinformatics pipelines after authentication.

DiffDock uses diffusion-based deep learning to predict protein-ligand binding poses, confidence, and batch virtual screening workflows for structure-based drug design.

This framework provides a systematic guide for evaluating and improving user interface usability based on established heuristic principles. It covers core concepts like 'Don't Make Me Think' and 'Get Rid of Half the Words,' helping users conduct detailed usability audits, analyze navigation flow, and optimize copy. Use this when reviewing a product's user experience, addressing user confusion, or performing a formal UX review to enhance clarity and efficiency.

A robust security auditing tool designed to scan CI/CD pipeline configurations, such as GitHub Actions YAML, for critical supply chain vulnerabilities. It automatically detects issues like unpinned dependencies, script injection risks, secrets exposure, and dependency confusion, helping teams harden their build systems and maintain secure software development lifecycles.

This skill demonstrates how to exploit vulnerabilities in JWT implementations, specifically algorithm confusion. It targets APIs that fail to strictly enforce the signing algorithm, allowing attackers to downgrade signatures (e.g., RS256 to HS256) or bypass signature verification entirely (alg:none). Use this for authorized penetration testing of API security and cryptographic integrity.

This guide details the exploitation chain for noPac, combining CVE-2021-42278 (sAMAccountName spoofing) and CVE-2021-42287 (KDC PAC confusion). It demonstrates how an attacker can escalate from a standard domain user to Domain Admin by manipulating Active Directory tickets and performing DCSync. Primarily used in authorized red-teaming and penetration testing to validate domain security.

This skill provides comprehensive implementation for secure JWT (RFC 7519) signing and verification using multiple algorithms (HMAC-SHA256, RSA-PSS, ES256, EdDSA). It covers token expiration, claims validation, and crucial defenses against common attacks like algorithm confusion and 'none' algorithm bypass, essential for hardening web application authentication systems.