Skill UI

This advanced skill details dual-use security techniques for analyzing protected binaries, conducting malware analysis, and performing authorized penetration testing. It strictly mandates that users confirm explicit written authorization, adhere to defined scope, and ensure legal compliance (e.g., CFAA, DMCA). Use cases include CTF competitions, academic research, and internal security auditing, emphasizing defensive recommendations and evidence preservation.

This advanced skill details dual-use security techniques for analyzing protected binaries, conducting malware analysis, and performing authorized penetration testing. It strictly mandates that users confirm explicit written authorization, adhere to defined scope, and ensure legal compliance (e.g., CFAA, DMCA). Use cases include CTF competitions, academic research, and internal security auditing, emphasizing defensive recommendations and evidence preservation.

This skill provides comprehensive guidance and established patterns for conducting rigorous scientific research and complex data analysis. It helps users structure their thinking process, ensuring a systematic and methodical approach to scholarly inquiry. Ideal for academic projects, literature reviews, and complex data interpretation.

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.

This advanced workflow extends beyond basic search capabilities. It allows users to discover pages semantically similar to a given URL, retrieve detailed content, highlights, and summaries from known URLs (batch processing), and generate comprehensive, cited answers using AI. Ideal for deep academic research, competitive intelligence, and content enrichment pipelines.

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.

A comprehensive workflow for systematically reviewing medical evidence. It allows users to search databases for clinical studies, build curated citation collections, grade evidence using established frameworks like GRADE, and generate professionally formatted, structured reports in academic citation styles (e.g., AMA). Ideal for conducting literature reviews and supporting clinical research. This tool helps transform raw medical data into actionable, structured knowledge.

A comprehensive workflow utilizing the Perplexity Sonar API for advanced, multi-turn research. It systematically decomposes broad topics into focused sub-queries, executes batch queries while maintaining context continuity, deduplicates citations, and synthesizes all findings into a structured, comprehensive research document. Ideal for academic research, market analysis, and generating detailed investment or industry briefs.

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.