Skill UI

This comprehensive guide outlines the principles and technical implementation for creating highly accessible, high-contrast user interfaces. It ensures WCAG AAA compliance by specifying pure black/white color pairings, clear boundaries, and legible typography across web (CSS), iOS (SwiftUI), and Android (Flutter) platforms. Ideal for applications requiring maximum legibility and stark visual impact.

A comprehensive style guide and implementation toolkit for achieving authentic vintage aesthetics, inspired by 60s-80s retro design. It covers core principles like warm, muted color palettes, subtle noise textures, and classic typography pairings. Provides detailed code examples for Web (CSS), iOS (SwiftUI), and Android (Flutter) to recreate the analog, nostalgic feel in modern applications.

This library provides a comprehensive framework for managing bounded AI workflows (loops). Users can analyze existing codebases or work histories to discover opportunities for repeating, automated agent processes. It guides the user through finding published templates, auditing and repairing weak agents, adapting parameters, or crafting entirely new, robust automation designs, ensuring clear triggers, verification, and mandatory stopping conditions.

This skill guides the entire lifecycle of repeatable AI agent loops. Use it to discover recurring work patterns within codebases, find established solutions in a library, or interview users to craft bounded, effective loops. It supports auditing, repairing, running, and preparing AI workflows for publication, treating the loop as a robust feedback system.

This tool is designed to register a Cognitum Seed IoT device, establishing a secure agent bridge and fetching the device's identity. It resolves the specified or default endpoint for connectivity and handles initial trust level assignment. It is crucial for the initial setup, pairing, and status checking of IoT hardware deployments.

A comprehensive guide for revising complex multi-agent research papers for top-tier conferences. It emphasizes an 'interaction-first' approach, ensuring the unique contribution is highlighted on the first page. The guide mandates naming solution concepts, making the game legible, and rigorously pairing every major claim with a formal proof, self-play, or deployment experiment.

This guide provides comprehensive rules for authors revising technical papers for top AI/Statistics conferences like AISTATS. It emphasizes achieving statistical rigor, explicitly stating assumptions, pairing every claim with proof or evidence, ensuring conciseness (e.g., adhering to an 8-page limit), and maintaining double-blind academic style. Perfect for PhD students or researchers preparing manuscripts for highly technical review.

This comprehensive guide provides detailed instructions for revising academic papers, specifically in the field of learning theory, for the COLT conference. It teaches authors how to structure the argument rigorously, ensuring the model is unambiguous, mastering the informal-to-formal theorem pairing, and maintaining mathematical precision (quantifier and constant hygiene).

This guide provides stringent best practices for authors submitting papers to top database systems conferences (like EDBT). It emphasizes leading with a concrete data-management contribution, ensuring mechanisms are reproducible in prose, and pairing every claim with rigorous, real-world evidence. It also dictates how to manage scope and adhere to publishing constraints.

A comprehensive guide detailing the best practices for drafting and revising highly technical academic papers, specifically tailored for top-tier conferences like FOCS. It emphasizes front-loading key results within the first ten pages, pairing informal statements with formal theorems, and calibrating prose for a broad, non-specialist committee.

This guide provides stringent rules and structural advice for authors tackling academic papers, particularly in the domain of software maintenance and evolution. It emphasizes leading with the maintenance problem, stating research questions as contractual measurements, pairing every claim with proportional evidence, and rigorously discussing threats to validity. Use this when revising academic submissions to ensure maximum impact and technical rigor for the field.

A comprehensive guide for revising technical papers submitted to top-tier networking conferences (like INFOCOM). It emphasizes structural rigor, defensive writing techniques, pairing every claim with proportional evidence, and adhering strictly to page limitations to proactively address reviewer objections before the rebuttal phase.