Skill UI

This skill enables the generation of high-quality, cinematic videos using a highly structured prompt format (JSON). Users define detailed cinematic elements—including background, characters, camera movements, dialogue, and audio—and can optionally provide a reference image to guide the visual style or content of the final output. It automates the complex AIGC video generation workflow.

Provides step-by-step techniques for assessing AWS security, covering IAM enumeration, privilege escalation, SSRF metadata attacks, S3/Lambda exploitation, and red-team persistence workflows with recommended tools and commands.

Streamlines the process of providing code review feedback by enforcing a highly structured, ultra-compressed format. It guides users to cut through noise and deliver actionable, single-line comments (Location: Problem. Fix.) while maintaining critical context like severity and technical rationale. Ideal for team settings prioritizing efficiency and high code quality.

Provides quick reference to penetration testing commands for network scanning, exploitation, password cracking, and web testing workflows, helping security professionals run tools like Nmap, Metasploit, Nikto, and SQLMap during assessments.

This skill provides robust mechanisms to verify the integrity of AI agent plugins, tools, and dependencies. It generates deterministic SHA-256 manifests (INTEGRITY.json) for all components, allowing users to detect unauthorized modifications, track provenance, and ensure that deployed assets match their published versions. Use this during CI/CD pipelines, code review, and pre-production promotion to secure the entire agent ecosystem.

This comprehensive tool provides robust automation capabilities for Airtable using the Rube MCP framework. It allows users to perform full CRUD operations (Create, Read, Update, Delete) on records, bases, and tables. Key workflows include searching and filtering records using complex formulas, managing field schemas, and handling comments, significantly streamlining data management and workflow automation.

This expert system is designed to act as an Arch Linux specialist, diagnosing and resolving complex system issues using best practices for rolling-release distributions. It guides users through step-by-step triage plans, leveraging native tools like pacman, systemctl, and journalctl. It provides actionable, copy-paste-ready commands for remediation, verification, and cleanup, ensuring stable system recovery.

This skill provides comprehensive management for annotation schemas (configs) and human review workflows (queues) within the Arize platform. It supports defining categorical, continuous, and freeform label types. Users can programmatically apply these annotations to project spans and datasets using the Python SDK, facilitating structured human feedback loops and improving model monitoring.

This toolset provides comprehensive automation for Cal.com scheduling operations through Rube MCP. It enables users to manage the entire booking lifecycle, including listing and creating bookings, checking real-time availability and finding open slots, configuring and managing webhooks for event triggers, and managing organizational teams. It is essential for integrating scheduling workflows into larger automation processes.

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.

This comprehensive guide provides detailed procedural steps for configuring and executing CodeQL code scanning. It covers both implementing automated workflows using GitHub Actions (`codeql.yml`) and running scans via the CodeQL CLI. Users will learn how to manage language matrices, set build modes, interpret SARIF outputs, handle monorepo structures, and troubleshoot complex security analysis setups across multiple languages (e.g., Python, Java, C++).

This comprehensive template and guide facilitate the containerization of ASP.NET Core applications. It provides a structured prompt and checklist to ensure that the resulting Dockerfile adheres to industry best practices for performance, security, and maintainability when running on Linux containers. It covers all necessary aspects, including dependency management, port exposure, build stages, and custom configuration.