Skill UI

A critical security tool for detecting typosquatted, brandjacked, or misspelled packages across major registries (npm, PyPI, crates.io). It uses advanced techniques like edit-distance and corpus matching to proactively screen dependency names before installation. Ideal for implementing CI/CD gates, auditing lockfile diffs, or reviewing dependency lists sourced from AI models to mitigate supply chain attacks.

This comprehensive guide covers the process of creating, analyzing, and securing Software Bills of Materials (SBOMs). It utilizes Syft to generate standards-compliant SBOMs (CycloneDX or SPDX) from container images and filesystems. The workflow details correlating these SBOMs with known CVEs using Grype for vulnerability analysis, and subsequently signing the artifacts with Cosign. This process is crucial for establishing supply chain trust, ensuring dependency visibility, and integrating vulnerability gating into CI/CD pipelines.

This skill provides methods to verify artifact signatures and SLSA provenance using tools like cosign and slsa-verifier. It is crucial for building secure CI/CD pipelines, detecting supply-chain attacks (e.g., tampering, compromised builds), and ensuring that deployed artifacts originate from trusted sources and build environments. Key features include enforcing keyless OIDC identity pinning and validating SLSA Build Levels.

A comprehensive skill set for senior transportation managers overseeing a large, multi-modal carrier portfolio. It covers the full lifecycle of carrier engagement, including sourcing, compliance checks (FMCSA SAFER), executing complex RFPs, negotiating granular rate components (linehaul, FSC, accessorials), and establishing performance scorecards. Use this skill to optimize logistics costs, mitigate supply chain risks, and ensure consistent service quality across varied freight types.

A comprehensive resource providing codified expertise for managing complex energy portfolios for large commercial and industrial (C&I) consumers. Covers electricity and gas procurement, tariff structure analysis (TOU, RTP), demand charge mitigation, PPA evaluation, and multi-site energy strategy development. Ideal for optimizing utility spending, understanding complex utility bills, and building resilient, sustainable energy supply chains.

A comprehensive framework for optimizing inventory levels and planning replenishment in multi-location retail environments. It covers advanced demand forecasting techniques (e.g., Holt-Winters, ML models), calculating safety stock based on variability, estimating promotional uplift, and generating actionable purchase orders while minimizing stockouts and excess inventory. Ideal for professionals managing complex SKU portfolios across various supply chain systems.

This module is designed to manage and resolve unexpected operational exceptions within the supply chain or logistics process. It helps maintain business continuity and ensures that deviations are handled efficiently, optimizing the overall flow from sourcing to delivery.

This guide provides a framework for authors to strategically position their empirical research within the ongoing academic debates of Operations and Supply Chain Management (OM/SCM). It teaches authors to move beyond merely identifying knowledge gaps by problematizing shared assumptions, explicitly distinguishing empirical observation from analytical modeling, and aligning the contribution with the target department's specific mission.

This guide helps researchers rigorously evaluate whether their operations management or supply chain research topic is suitable for the Journal of Operations Management (JOM). It employs a four-screen test to ensure the topic meets academic criteria: operations must be the core phenomenon, the study must be empirically grounded, it must advance theory, and it must maintain practical relevance for managers.

This comprehensive skill guides researchers through assessing whether their operations and supply chain manuscript meets the rigorous standards of the Journal of Operations Management (JOM). It covers key areas including theoretical framing, empirical rigor (e.g., common-method bias, identification), structural best practices, and common desk-reject triggers, helping authors refine their work for high-impact academic publishing.

This guide instructs authors on how to strategically position their research manuscript within the established body of Operations Management (OM) literature. Instead of claiming an unstudied 'void,' the focus is on joining and advancing specific 'operational conversations' within canonical OM streams (e.g., queueing, supply chain, revenue management). It emphasizes differentiating contributions based on novel operational mechanisms or decision levers, ensuring the paper's fit is clear to expert reviewers and editors.

This comprehensive guide helps researchers determine if their specialized findings—across agronomy, nutrition, or supply chains—possess the requisite 'food-systems significance' for a high-impact journal. It outlines the required scope, transdisciplinary framing, evidence standards, and structural requirements necessary to shift a specialized result into a broad, systemic narrative suitable for Nature Food.