Skill UI

This skill deploys Remote Browser Isolation (RBI) as a core component of a Zero Trust security architecture. It implements sophisticated isolation policies utilizing URL categorization, risk-based routing, and Content Disarming and Reconstruction (CDR) for file sanitization. It provides robust data loss prevention controls, effectively mitigating zero-day exploits, phishing, and data exfiltration across isolated web sessions, and integrating with SWG and ZTNA platforms.

This comprehensive tool manages all aspects of a brand's identity, including voice, visual standards, messaging frameworks, and asset management. It helps teams maintain brand integrity by synchronizing guidelines (e.g., markdown) into actionable digital tokens (JSON/CSS) and validating assets, ensuring all content and designs adhere to established rules and standards.

This skill outlines the implementation of advanced runtime defenses for production Large Language Model (LLM) applications. It covers using multiple industry-leading guardrail systems—including Llama Guard, NeMo Guardrails, and LLM Guard—to detect and block adversarial attacks such as prompt injection, jailbreaks, and toxic content. It provides a comprehensive defense-in-depth strategy for ensuring model safety and output integrity in real-world deployments.

A comprehensive security tool designed to detect and defend against subtle prompt injection attacks hidden within untrusted multi-modal content, such as web pages, PDFs, and images. It scans for obfuscated payloads (e.g., hidden CSS, metadata, zero-width characters) by combining content normalization, heuristic analysis, and dedicated ML detectors, ensuring that LLM agents only consume sanitized, trustworthy input.

This skill utilizes NVIDIA's open-source garak framework to conduct comprehensive red-teaming assessments on Large Language Models (LLMs). It tests for critical vulnerabilities such as prompt injection, jailbreaks, data leakage, and toxic content generation by sending thousands of adversarial probes. Ideal for pre-deployment security validation, API guardrail testing, and generating defensible evidence for AI risk assessments.

This skill guides the creation of high-converting, honest comparison and alternative pages for developer tools. It teaches how to structure content that ranks for competitive SEO terms (e.g., "[Competitor] alternatives," "[Product] vs [Competitor]"), capturing high-intent traffic by addressing user pain points and providing clear technical differentiation.

A comprehensive framework for systematically analyzing and monitoring competitors in the developer tools space. Users can track product features, pricing models, content strategies, developer sentiment, and market positioning. This skill is essential for product managers, marketing teams, and sales teams needing accurate competitive intelligence to build battlecards and identify market gaps.

This guide details advanced strategies for publishing technical content across major developer platforms like Dev.to and Hashnode. It covers cross-posting best practices, canonical URL management for optimal SEO, and platform-specific optimization (e.g., tagging, content performance) to maximize reach and build authority.

This skill provides a comprehensive framework for creating, writing, and optimizing newsletters tailored for developer audiences. It covers content strategy (e.g., 70-20-10 rule), defining newsletter types (curated links, product updates), crafting engaging subject lines, and structuring technical emails for maximum readability and engagement.

This skill guides the implementation of advanced SEO strategies tailored specifically for technical audiences and developers. It covers specialized techniques such as optimizing for error messages, researching high-intent technical long-tail keywords, creating structured how-to guides, and developing objective tool comparison content. Use this when targeting developers who search with precise technical intent, needing solutions that go beyond standard documentation.

This comprehensive skill guides the creation of high-quality technical content specifically tailored for developers. It covers the entire devrel content lifecycle: from researching topic validation (community signals, competitor gaps) to selecting the ideal content type (tutorial, guide, case study). The framework emphasizes deep technical accuracy, structured outlines (Hook, Meat, CTA), and writing runnable, copy-paste ready code examples to build trust and drive adoption.

This skill is designed to accurately convert complex, Hugo-managed documentation sites and content into standard Markdown format. It goes beyond generic knowledge by inspecting the entire local Hugo repository structure, including `hugo.toml`, custom shortcodes, layouts, and content files. It preserves the original content's semantic meaning while materializing Hugo-specific constructs into clean Markdown.