Skill UI

This guide details the functionalities for interacting with Lark Instant Messaging (IM). It covers core concepts like message types, threads, reactions, and flags, and provides methods for managing chat history, creating/managing groups, and handling various message resources (images, files, videos). It is essential for applications needing robust chat communication capabilities.

Guides agents through researching Microsoft technologies via Learn MCP docs, then scaffolds hybrid skills that store essential knowledge locally while enabling dynamic lookups for depth.

This skill allows agents to ingest external resources (local files, URLs, repositories) using `ov add-resource`, and to create long-lasting searchable memories from conversations using `ov add-memory`. It is essential for building a comprehensive, persistent knowledge base for the OpenViking context database, ensuring that learned insights and external data remain available across sessions and interactions. Use when external knowledge injection or context persistence is required.

A comprehensive guide for deploying, configuring, and maintaining the OpenViking server in production environments. It covers service configuration management, environment setup using `uv` for virtual environments, reliable startup procedures using `nohup`, graceful shutdown methods, and critical data cleanup workflows. This resource is essential for DevOps engineers and system administrators managing OpenViking services.

This skill guides the use of Patrol for writing robust End-to-End (E2E) and integration tests in Flutter. It is essential for validating complex user flows, interactions with native APIs (like permissions or deep links), and ensuring cross-platform consistency across Android, iOS, and Web. It helps capture UI regressions and validates the entire application state.

A comprehensive guide for improving application speed across the entire stack, including frontend rendering, backend logic, and database queries. It outlines the crucial workflow—Measure, Identify, Fix, Verify—and addresses common bottlenecks like N+1 queries, Core Web Vitals improvements (LCP, INP, CLS), and large data handling.

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.

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.

This tool generates highly standardized and ultra-compressed commit messages following the Conventional Commits specification. It ensures that commits are concise, professional, and adhere to strict formats (e.g., type(scope): summary). It intelligently generates a body only when the context (like breaking changes or complex reasoning) requires it, significantly reducing noise and maintaining a clean, clear project history.

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.

Enables structured cloud penetration testing across Azure, AWS, and GCP by guiding reconnaissance, authentication, enumeration, exploitation, and persistence workflows for authorized assessments.

This utility compresses natural language documents (notes, preferences, memory files) into a highly condensed, 'caveman-speak' format. Its primary function is drastically reducing input tokens for efficiency while meticulously preserving all technical substance, including code blocks, URLs, file paths, and markdown structure. Ideal for optimizing memory consumption when interacting with AI models.