Skill UI

This framework addresses the gap between academic benchmarks and real-world production performance for LLM agents. It teaches advanced quality engineering practices, such as behavioral contract testing, adversarial testing, and statistical analysis, ensuring agents maintain reliability and robustness when deployed. It helps developers move beyond simple pass/fail rates to comprehensive capability assessment.

This skill provides advanced, dual-use security techniques for analyzing protected binaries, including malware and proprietary software. It is strictly intended for authorized security professionals, such as those conducting penetration testing, malware analysis, or academic security research (CTFs). Users must exercise extreme caution, confirm explicit written authorization, and ensure all activities remain within defined legal and ethical scopes to prevent misuse and legal violations.

This skill provides advanced, dual-use security techniques for analyzing protected binaries, including malware and proprietary software. It is strictly intended for authorized security professionals, such as those conducting penetration testing, malware analysis, or academic security research (CTFs). Users must exercise extreme caution, confirm explicit written authorization, and ensure all activities remain within defined legal and ethical scopes to prevent misuse and legal violations.

Evaluates large language models across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag) with standardized prompts and metrics, making it easy to benchmark HuggingFace or API models, compare releases, and track training progress.

A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.

LitGPT provides clean, readable, and production-ready implementations for over 20 state-of-the-art LLMs (including Llama, Gemma, Phi, Mistral). It supports comprehensive workflows, including full fine-tuning, efficient LoRA/QLoRA adaptation, and pretraining from scratch. Ideal for developers needing academic understanding or robust, deployable model architectures.

Streamlines citation discovery via Google Scholar and PubMed, extracts complete metadata, validates references, and generates formatted BibTeX for accurate academic manuscripts or theses.

Guides researchers through creating conference-ready posters in LaTeX, covering layouts, visuals, AI-generated graphics, and overflow-safe design for academic communication.

Transforms LaTeX or PDF papers into interactive websites, narrated videos, and print-ready posters via the Paper2All pipeline, ideal for conference preparation, research promotion, and explorable academic showcases.

This skill runs the ScholarEval framework to score academic submissions across problem setting, methodology, data, analysis, writing, and references, providing structured strengths/weaknesses, numeric ratings, and guidance for visualizing the evaluation.

A comprehensive guide for systematic statistical analysis, designed for academic research. This skill assists in selecting the correct hypothesis tests (t-test, ANOVA, regression, chi-square), checking assumptions (normality, homogeneity), performing advanced analyses (Bayesian methods, power analysis), calculating effect sizes, and generating full APA-formatted reports for publication.

A robust Python client wrapper for interacting with the Zotero Web API v3. This skill allows users to programmatically manage academic references, including retrieving, creating, updating, and deleting items, collections, tags, and attachments. Ideal for academic researchers building automated workflows, bulk exporting citations (e.g., BibTeX), or integrating Zotero data into larger research applications.