Skill UI

Create a disciplined, developer-ready implementation plan whenever a multi-step spec arises; document every file, command, and bite-sized action with precise steps, tests, and commit guidance so any engineer can execute confidently with DRY/YAGNI/TDD practices.

Automates zero trust configuration support for advanced security operations, offering guidance, code/config generation, and validation whenever zero trust config helper topics arise during penetration testing, compliance, or threat modeling workflows.

Generates publication-ready clinical decision support documents for pharma and clinical research, covering biomarker-stratified cohort analysis, evidence-graded treatment recommendations, statistical comparisons, and regulatory-ready LaTeX/PDF outputs.

Seaborn is a powerful Python library for creating publication-quality statistical graphics. It is designed for dataset-oriented plotting, making it ideal for exploratory data analysis, multivariate analysis, and visualizing complex relationships, distributions, and comparisons with minimal code. It builds upon Matplotlib, offering high-level interfaces for functions like scatterplots, heatmaps, and pair plots.

Analyzes protein sequences to locate canonical N-glycosylation sequons, predict O-glycosylation hotspots, and mutate or design glycosylation sites for therapeutic proteins, vaccines, and biosimilar comparisons using curated glycoengineering resources.

A comprehensive guide to building production-grade evaluation systems for Large Language Models (LLMs). This skill covers advanced methodologies, including Direct Scoring and Pairwise Comparison, alongside critical techniques for mitigating systematic biases (e.g., Position Bias, Length Bias). Learn how to select appropriate metrics and structure prompts to ensure reliable, consistent, and objective quality assessment across various AI applications.

A comprehensive guide for creating high-value competitor comparison and alternative pages. Designed for SEO and sales enablement, this skill covers multiple formats (You vs Competitor, Competitor Alternatives, etc.), emphasizing deep research, trust-building content, and modular architecture to capture competitive search traffic and guide users toward conversion.

This framework teaches how to create "Grand Slam Offers"—packages so valuable that rejection feels foolish. It guides users to optimize the perceived value using the Value Equation (Dream Outcome, Likelihood, Time Delay, Effort). Learn how to strategically bundle core products with bonuses, guarantees, and scarcity mechanisms to eliminate price comparison and achieve market dominance.

This skill generates SEO-optimized competitor comparison and alternatives pages. It covers X vs Y layouts, feature matrices, schema markup, and conversion optimization strategies. Ideal for creating content targeting competitive intent keywords like alternatives to X or X vs Y. Includes guidelines for fairness, accuracy, and trust signals to improve search rankings and user conversion.

This tool analyzes ML experiment results from various paths (JSON/CSV). It computes comprehensive statistics, builds detailed comparison tables based on model types and hyperparameters, and generates actionable insights. Use it when you need to interpret raw experimental data, compare different model runs, or determine the next steps for research.

This skill provides a structured methodology and tools for investigating sophisticated supply chain attacks. It focuses on detecting trojanized software updates, compromised build pipelines, and hidden dependencies by performing deep binary comparison, code signing verification, and anomaly detection. Use it during incident response to map out intrusion vectors and assess the full scope of a security breach.

This skill details techniques for exploiting PHP's type juggling vulnerabilities, primarily caused by loose (==) comparison operators. It demonstrates how attackers can bypass authentication mechanisms, defeat magic hash function verifications, and manipulate application logic through controlled type coercion when testing web applications. Ideal for authorized security penetration testing.