Skill UI

Automates creating Google Drive folder structures and relocating files into their intended locations using the gws drive command set, so project assets stay organized and easy to find.

Automates creating a post-mortem doc, scheduling a review meeting, and notifying the team via Google Chat so incident reviews are centralized and timely.

Master advanced state management using Riverpod in Flutter and Dart. This guide covers setting up providers, defining different provider types (Future, Stream), utilizing reactive reading (ref.watch) and one-time access (ref.read), handling lifecycles, combining providers, and implementing proper testing strategies. Learn best practices for building scalable and maintainable Flutter applications.

This meta-skill set provides a structured framework covering the entire software development lifecycle (SDLC). It guides developers through every phase, from initial concept refinement and requirement specification to incremental implementation, testing, code review, and deployment. It enforces critical professional behaviors like surfacing assumptions, managing ambiguity, and maintaining scope discipline to ensure high-quality, robust engineering outcomes.

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.

Guides configuring HTTP/HTTPS, SNMP, and SMB services plus verification and log review for penetration testing labs using Windows or Linux hosts.

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 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 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 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.

Comprehensive automation toolkit for managing all aspects of the Close CRM platform. Easily create and manage leads, log detailed calls, send SMS messages, set follow-up tasks, and record notes. It ensures seamless, automated tracking of customer interactions and pipeline management.

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++).