Skill UI

This comprehensive guide provides strict structural and technical guidelines for authors submitting papers to ACM SoCC. It mandates focusing on cloud-scale problems recognized by operators, emphasizing contributions at the intersection of systems and data. Key requirements include reporting tail latency (p95/p99) and concrete cost models, grounding every claim in measured, real-world evidence, and explicitly stating external limitations.

This comprehensive guide helps researchers defend their complex study designs—whether they involve lab experiments, large-scale surveys, or qualitative observations—against rigorous methodological critique. It emphasizes establishing a clear, credible link between theoretical mechanisms and empirical evidence, focusing specifically on the structure-individual link. It covers advanced inference techniques, identifying potential confounding variables, and articulating the design's limitations.

A comprehensive guide for authors targeting The Astrophysical Journal (ApJ) or its Letters companion (ApJL). It helps determine manuscript fit, ensures methodological rigor, and outlines house style requirements, covering everything from data availability and systematic uncertainty analysis to article length limitations. This tool assists in structuring high-quality, archival-grade astrophysics research papers.

A comprehensive guide for authors submitting to academic conferences, addressing strict page limitations where appendices count against the core budget. It details best practices for distributing supplementary evidence across three external homes: the main paper, dedicated arXiv technical reports, and artifact repositories. The guide emphasizes maintaining self-containment, managing version discipline, and strategically cutting content to ensure the core claims are reviewable.

This guide provides detailed stylistic advice for authors submitting papers to WSDM. It emphasizes structuring work around observed user and web behaviors, adopting a self-contained voice that preemptively addresses reviewer objections, and ensuring technical precision in all sections, including ethics and limitations. It transforms raw research into a publication-ready, principle-grounded narrative.

This skill automates the creation of comprehensive Model Cards for OpenMed clinical NER or de-identification models. It gathers data from various OpenMed evaluation reports (e.g., `GateReport`, `fairness_report`, `error_report`) to structure critical governance information, including intended use, quantitative performance metrics, subgroup analysis, limitations, and required medical-device disclaimers. It ensures documentation is reproducible and compliant for clinical AI deployment.

This robust methodology guides users to strip away assumed constraints, industry conventions, or historical precedents. By isolating only the fundamental, independently supported primitives (like physics, core math, or measured needs), it enables the rebuilding of the simplest, most robust solution that genuinely satisfies real-world constraints, bypassing artificial or arbitrary limitations.

A comprehensive guide for creating and maintaining an atomic, index-driven knowledge base (KB) using Markdown. This method enables AI agents to bypass traditional vector search limitations by reading a central index file (INDEX.md) and opening only the most relevant, highly signaled notes, drastically improving context efficiency.

A comprehensive skill for conducting rigorous sanctions screening and export control compliance analysis. It covers individual designations, sectoral restrictions (energy, finance), dual-use goods, international payment systems (SWIFT/USD/EUR), and complex extraterritorial regimes (OFAC, EAR, ITAR, Chinese ECL). The skill enforces strict legal due diligence, requiring real-time source verification and explicitly flagging all potential risks and limitations to prevent legal hallucinations in global transactions.

Run optional practical diagnostics against available implementation and artifacts within Spec-Driven Development. Inspect code, run tests, build and type checks, and report findings, limitations, and next steps without mutating code.

Turns articles, books, PDFs, and web pages into evidence-first reading reports. Five modes (quick, deep, map, feynman, book) separate claims, evidence, data, assumptions, counterarguments, and limitations, with knowledge maps, confidence tags, and Feynman recall checks.

Master Firebase backend services including Authentication, Firestore, Realtime Database, Cloud Functions, Storage, and Hosting. Learn security rules, data modeling for read-heavy workloads, and cost optimization to avoid pitfalls like expensive reads and query limitations.