Skill UI

This specialized skill acts as an expert AI auditor for Food Safety Modernization Act (FSMA) compliance. It is designed to review critical records, including HACCP plans, Preventive Controls, and Supply Chain documentation for food processing facilities. Use it to simulate FDA inspections, identify compliance gaps (such as missing CCPs or inadequate corrective actions), and receive actionable guidance to ensure the highest standards of food safety.

Establishes a repeatable, structured operational process for managing Microsoft Patch Tuesday security updates. The workflow guides users through advisory review, vulnerability triaging (including zero-days), phased testing, and deployment across major platforms (Windows, Azure, Office). Ideal for maturing patch management programs and defining risk-based remediation SLAs.

A structured guide for conducting blameless post-mortem reviews after any security incident. This process helps identify root causes using techniques like the 5 Whys, calculates critical metrics (MTTD, MTTR), and generates actionable recommendations to continuously improve incident response playbooks and procedures.

This skill analyzes accumulated usage logs from a complex research harness (ARIS) to propose structural optimizations. It identifies areas for improvement in SKILL scripts, default parameters, workflow ordering, and reviewer prompts. It is designed to automate the meta-level engineering process, ensuring that system efficiency is continuously improved based on real-world usage data.

This skill activates the P7 Senior Engineer mode, designed for rigorous, solution-driven execution under P8 supervision. It is used when the user explicitly requests 'P7模式' or when invoked as a sub-task executor by P8. The process involves three key stages: designing a detailed implementation plan and impact analysis, executing the core coding, and finally, completing a mandatory three-question self-review, ensuring high quality and comprehensive verification.

This skill structures raw invention ideas into formal invention disclosures suitable for patent applications. It applies the Problem-Solution-Advantage framework to define technical problems, solutions, and advantages. The process includes invention decomposition into core, supporting, and optional features, identifying claimable subject matter, and planning technical drawings. It validates the structure using external reviewer models to ensure patent readiness and proper claim hierarchy.

This skill guides the planning and review process for complex home or small-lab network changes. It covers creating staged migration plans for VLAN segmentation, implementing local DNS resolvers (like Pi-hole), setting up secure VPN access, and ensuring network safety through detailed inventory checks and rollback procedures. It emphasizes security best practices and trust zoning.

This guide provides comprehensive details on the OpenPitrix application management system within KubeSphere. It covers the entire application lifecycle, including managing app repositories (Repo), uploading and versioning templates (Application/ApplicationVersion), conducting review processes, and finally deploying/upgrading applications (ApplicationRelease). Use this skill when troubleshooting App Store interactions, understanding KubeSphere's backend APIs, or managing deployed workloads.

This tool automates the OAuth 2.0 scope minimization review process. It identifies over-permissioned third-party application integrations, excessive API scopes, and risky OAuth consent patterns across identity providers. It is crucial for security audits, compliance (GDPR, SOC 2), and enforcing the least-privilege principle for cross-boundary data access.

This skill guides the planning and review process for complex home or small-lab network changes. It covers creating staged migration plans for VLAN segmentation, implementing local DNS resolvers (like Pi-hole), setting up secure VPN access, and ensuring network safety through detailed inventory checks and rollback procedures. It emphasizes security best practices and trust zoning.

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 guide details the process of packaging and evaluating academic artifacts for ACM CCS conferences. It outlines the criteria for earning specific ACM badges (e.g., Functional, Reusable, Results Reproduced) by ensuring that supporting evidence—such as exploits, defenses, and measurement pipelines—is turnkey, reproducible, and rigorously documented for the review committee. It covers best practices for artifact planning, handling sensitive material, and justifying any withheld components.