Skill UI

This comprehensive pipeline guides users from a vague research concept to a fully structured, testable academic proposal. It first refines the core methodology (research-refine) to establish a stable thesis, and then generates a detailed, claim-driven experiment roadmap (experiment-plan). This end-to-end workflow ensures that the final academic output is both elegant and empirically validated.

This skill provides a multi-round, deep critical review of research proposals, papers, or experimental results by simulating the perspective of a senior ML reviewer (e.g., NeurIPS/ICML level). It guides the user through identifying logical gaps, missing experiments, and narrative weaknesses, ensuring high fidelity and iterative refinement of technical work.

This tool guides users through professional customer research methodologies. It enables the analysis of existing assets (transcripts, surveys, support tickets, reviews) to extract deep insights like Jobs to Be Done, pain points, and emotional triggers. It also guides the gathering of new intelligence from online sources (Reddit, forums, reviews) to ensure all product, marketing, and copy decisions are grounded in verifiable customer reality, minimizing assumption bias.

This advanced skill transforms validated research concepts and literature into structured, reviewer-ready grant proposals. It supports major international and national funding bodies, including KAKENHI, NSF, ERC, and NSFC. By managing narrative arc, structural requirements, and budget justification, it guides users through the entire funding application pipeline.

A comprehensive tool and API wrapper for accessing, parsing, and analyzing research papers published on Hugging Face and arXiv. Users can input various URLs or IDs (e.g., arXiv ID) to retrieve structured metadata, full markdown content, and automatically link associated resources such as models, datasets, and application spaces. Ideal for researchers and developers needing structured access to cutting-edge AI knowledge.

A comprehensive collection of agent skills for rigorously auditing digital interfaces and user flows. It evaluates designs against 168 research-backed UX/UI principles, detects common design antipatterns, and provides specialized review for AI-powered interfaces, ensuring adherence to modern best practices.

This skill applies the Jobs To Be Done (JTBD) framework from behavioral economics. Instead of merely listing features, it helps uncover the underlying functional, emotional, and social progress a customer is trying to achieve when they 'hire' a product or service. It is essential for deep user research, defining product messaging, optimizing the user journey, and understanding the triggers that cause a customer to switch solutions.

This skill analyzes accumulated usage logs within the ARIS research harness. It proposes structural optimizations to skill definitions (SKILL.md), default parameters, prompts, and workflow sequencing. It acts as an outer-loop mechanism, observing user interaction patterns to improve the core research framework itself, ensuring continuous and data-driven refinement of the entire development process.

This skill generates a comprehensive keyword strategy by identifying high-value SEO and AEO question queries for any given topic. It structures keywords into three difficulty tiers (T1, T2, T3), performs cannibalization checks to prevent content overlap, and builds a complete content map, guiding users on content type and production order for maximum search engine visibility.

This is an advanced, structured workflow designed to conduct deep, multi-source investigations. It synthesizes current public evidence with user-provided context to generate highly structured reports. The workflow explicitly differentiates between verifiable facts, user-supplied evidence, logical inferences, and actionable recommendations, making it ideal for complex comparative analysis or continuous monitoring tasks.

A guide for security researchers focused on finding exploitable, remote-reachable vulnerabilities for bug bounties or responsible disclosure. It emphasizes high-signal flaws such as SSRF, RCE, and SQL injection, while guiding users through the professional triage and PoC creation process for penetration testing.

Generates structured peer-review quality critiques of academic papers, covering summaries, methodology scrutiny, contribution evaluation, literature positioning, and recommendations across domains whenever a user requests reviews, analyses, or summaries of research publications.