Skill UI

This skill provides comprehensive security hardening guidelines for serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions. It covers essential security pillars including enforcing least privilege IAM roles, integrating robust secrets management (e.g., AWS Secrets Manager), automating dependency vulnerability scanning within CI/CD pipelines, and implementing strict input validation to mitigate risks such as injection and credential theft. Ideal for DevSecOps practitioners and security architects.

Assesses organizational readiness for migrating cryptographic systems to post-quantum standards (PQC), aligning with NIST guidelines. The tool performs comprehensive cryptographic inventory scanning to identify quantum-vulnerable algorithms (RSA, ECDH, ECDSA) and evaluates the feasibility of implementing hybrid TLS configurations using standards like ML-KEM and ML-DSA. Essential for implementing crypto-agility across enterprise infrastructure.

This skill provides guidelines and mechanics for managing multi-tenant environments within KubeSphere. It focuses on the controlled creation and configuration of core resources—including workspaces, projects, and users—while strictly adhering to least privilege principles. It details the proper use of RBAC roles (Viewer, Regular, Admin) and guides users through the process of setting up organizational boundaries and access controls for secure, scalable deployment.

Provides comprehensive guidelines for authors submitting papers to Acta Automatica Sinica (AAS). It details how to organize and present anonymous, reproducible code, data, and experimental artifacts to enhance the credibility and rigor of research in control, automation, and pattern recognition, supporting the double-blind review process.

This comprehensive skill provides in-depth guidance for authors targeting Advanced Materials. It covers journal positioning, scope fit (e.g., soft matter, 2D materials, energy), the required depth of evidence (methodology and characterization), and specific house style rules. Use this to re-frame your manuscript and ensure it meets the high standards for performance claims and scientific rigor expected by top-tier materials journals.

This comprehensive guide provides rigorous standards for advanced materials manuscripts. It mandates that structure–property claims must be validated through multiple, complementary characterization techniques (triangulation). It also details best practices for benchmarking against the state-of-the-art, ensuring reproducibility, and correctly partitioning core information between the main text and supplementary materials.

This guide provides expert principles for designing and auditing system-level experiments in computer architecture (e.g., for ASPLOS-level conferences). It details the proper usage of various instruments—from real silicon and FPGAs to cycle-level simulators and analytical models—ensuring that every claim is matched to a valid, stated error model. It emphasizes workload selection, establishing strong baselines, performing rigorous ablation studies, and honestly reporting measurement noise and limitations to maintain scientific credibility.

This guide outlines the rigorous standards for evaluating systems research, particularly for top-tier conferences like ATC. It provides detailed instructions on designing reproducible experiments, establishing fair baselines, utilizing realistic workloads, and reporting critical metrics such as tail latency, variance, and resource cost, ensuring the highest level of scientific rigor.

A comprehensive guide for authors targeting high-impact chemical engineering venues. It helps authors re-frame their work from simple material synthesis to demonstrating an applied advance with clear mechanistic insight. Focus areas include catalysis, separation, functional materials, and performance benchmarking under realistic process conditions.

Provides rigorous guidelines for conducting robust, verifiable, and reproducible evaluations in networking research. It emphasizes moving beyond simple simulations by demanding the use of real target platforms, documenting full system provenance (traces and configs), establishing honestly tuned baselines, and reporting detailed measurement statistics and uncertainty. Essential for authors aiming for top-tier conference submissions.

A comprehensive guide for drafting the Related Work section for top-tier networking conferences (e.g., CoNEXT, SIGCOMM). It emphasizes moving beyond simple literature summaries to create a 'delta argument'—clearly defining what the paper contributes over the closest prior work. Guidelines cover covering specific networking 'lanes' (like IMC, NSDI, SIGMETRICS), maintaining double-anonymous citations, and ensuring the contribution is concrete and testable.

Provides guidelines for creating robust, verifiable, and reusable Electronic Design Automation (EDA) artifacts for submission to academic conferences like DAC. The focus shifts from chasing conference badges to ensuring community trust and scientific reproducibility. Key elements include pinning the toolchain, using standard benchmarks, providing clear setup instructions, and archiving the release in a DOI-issuing repository.