Skill UI

This skill guides researchers through the rigorous process of determining if a scientific finding meets the 'Importance' and 'Broad Interest' criteria required for top-tier physics journals, such as Physical Review Letters (PRL). It diagnoses venue fit, helping authors frame their work to maximize visibility and impact, without altering the core scientific result. Useful for optimizing manuscript submissions and developing a clear narrative for non-specialist audiences.

Provides a structured framework for vetting potential review topics for high-impact educational journals. It guides researchers through four critical fit tests—educational importance, literature maturity, current need for synthesis, and scope tractability—before committing to a full search or writing a protocol, ensuring the proposal genuinely advances academic understanding.

A comprehensive guide for authors submitting to top systems conferences (e.g., SenSys, MobiCom). It details how to structure the Related Work section by sweeping multiple literature lanes (IoT, embedded AI, networking), proving citation venues, and most importantly, distinguishing your novel mechanism from the single nearest prior system with concrete, measurable differences. Essential for academic publication rigor.

This guide details the rigorous academic review process for ACM Symposium on Cloud Computing (SoCC) submissions. It explains the dual-anonymous, two-round review structure, the importance of incorporating both systems performance and data measurement rigor (including tail latency and cost), and how the rebuttal period functions. Essential reading for authors aiming to publish in top-tier cloud computing venues.

A comprehensive audit guide for authors submitting papers to the ACM Symposium on Theory of Computing (STOC). This guide details the critical requirements, including the single-column 11-point format, the double-blind anonymity rules, the importance of the abstract, table of contents, and the first twelve pages (the 'reading contract'). It covers formatting, publication policies, and the submission workflow to maximize review impact.

The Azure CLI command group for managing Azure Container Registry (ACR). This tool allows users to perform the entire ACR lifecycle, including creating registries, authenticating credentials, building and pushing container images (using cloud builds), importing images from other sources, and configuring advanced features like geo-replication, private endpoints, and webhooks. Essential for CI/CD pipelines and container deployment workflows in Azure.

This stub file is automatically generated by tooling (e.g., missing import scanners). It serves as a placeholder where actual functional code should be implemented. It does not contain active logic and requires manual development.

This specialized skill traces the complete lifecycle of an uploaded or imported file through complex backend systems. It maps the sequence from ingress to final consumer, tracking every derived artifact, archive extraction, format conversion, parser invocation, and deserialization step. It is crucial for security analysis, vulnerability research, and understanding how a file reaches a decisive backend effect after initial sandbox assumptions are made.

Internal helper skill for generating and verifying local PDF reports in Power Apps mobile apps using expo-print. Creates PDF file URIs from app data like records, evidence, certificates, receipts, or summaries. Does not install packages or directly import native PDF viewers. Only invokes when expo-print is already present in package.json.

Analyze binaries in Binary Ninja using HLIL/MLIL/LLIL, strings, imports/exports, cross-references, types, patching, and Python API or MCP HTTP automation for authorized reverse engineering.

Assists with U.S. customs and trade-law research: HTS classification, CROSS ruling search, CIT/CAFC decision summaries, duty calculation, country-of-origin and FTA analysis, Section 301/232/201 screening, and import compliance review. Generates draft work product with official-source evidence and legal disclaimers for attorney review.

Determines an organization's role under the EU AI Act—provider, deployer, importer, distributor, or quasi-provider—and assesses Article 25 substantial modification risk. Useful for AI Act role questions, value-chain responsibilities, German terminology (Anbieter/Betreiber), and finetuning implications.