Skill UI

This skill automates the entire phishing incident response lifecycle using the Splunk SOAR REST API. It processes reported emails, extracts indicators of compromise (IOCs) like URLs and IPs, creates incident containers, attaches artifacts, and triggers automated playbooks for deep analysis and reporting. It is essential for security operations teams needing robust, programmatic incident handling and compliance alignment.

In-toto is a CNCF standard project used to verify the integrity of software supply chains. It generates cryptographically signed attestations (link metadata) at every stage of the CI/CD pipeline, proving exactly what artifacts were produced and who authorized the process. This is crucial for securing container builds and ensuring compliance against tampering.

This skill provides a comprehensive workflow for analyzing malicious software to extract actionable Indicators of Compromise (IOCs). It covers static analysis (PE parsing, hashing, string extraction) and dynamic analysis techniques. Users learn how to identify file hashes, network indicators (C2 IPs, domains), registry modifications, and behavioral artifacts, ultimately formatting the findings into standard STIX 2.1 formats for sharing and incident response.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.

repo-scan is a powerful tool designed to audit large, complex, cross-stack codebases (C++, Java, iOS, Web). It classifies every file into project code, third-party dependencies, or build artifacts. Key features include detecting embedded libraries (e.g., FFmpeg, OpenSSL) and providing a practical 4-stage assessment (Core Asset / Extract / Refactor / Deprecate) via an interactive HTML report. Essential for managing monorepos and planning major refactoring efforts.

Deploy applications or static sites to Vercel instantly via a script that packages your project, auto-detects frameworks, uploads artifacts, and returns preview and claim URLs without requiring authentication.

This skill generates deep, clickable URLs to various resources within the Arize monitoring UI. It supports linking to specific traces, spans, sessions, datasets, evaluators, and annotation configurations. It is essential for sharing specific debugging artifacts or navigating directly to key data points within the MLOps platform by requiring precise resource IDs and time ranges.

This advanced prompt simulates a Senior Project Manager and DevOps specialist. It takes comprehensive feature artifacts (PRD, technical breakdowns, testing plans) and generates a structured, automated GitHub project plan. It enforces Agile best practices (Epic > Feature > Story > Enabler > Task) and includes templates for issue creation, dependency management, risk assessment, and Definition of Done, ensuring robust project tracking within GitHub.

This toolkit provides comprehensive automated control over CircleCI CI/CD pipelines via Rube MCP. Users can trigger new builds, monitor workflow and job statuses, retrieve detailed job information, download build artifacts, and extract detailed test metadata. It streamlines complex DevOps operations by managing the entire CI/CD lifecycle.

A comprehensive guide and checklist for identifying potential risks when migrating database applications from Oracle to PostgreSQL. It systematically cross-references code and migration artifacts against known behavioral differences, covering issues such as empty string handling, refcursors, type coercion, sorting logic, and timestamp semantics. Use this tool during the planning phase to proactively mitigate risks, or during validation to ensure comprehensive integration test coverage for the new PostgreSQL environment.

This comprehensive CLI tool enables users to manage all core resources within Azure DevOps from a command line interface. It provides full control over CI/CD pipelines, source code repositories (Git), work items (Boards), artifacts, and service connections. Ideal for scripting, advanced automation workflows, and integrating DevOps processes into larger continuous delivery systems.

Guides an AI pair to document application needs, access patterns, and scaling concerns while producing Azure Cosmos DB NoSQL requirements and data model artifacts using established best practices in a structured workflow.