Skill UI

Use the OpenViking CLI to search memories, skills, and resources with semantic and literal queries across directories, surfacing context-aware results whenever agents need stored knowledge or documentation.

This skill acts as an advanced extension layer, implementing a self-evolution protocol, maintaining session state continuity (Compaction), and providing KPI-style performance summaries. It allows users to simulate continuous professional development, track metrics, and master complex role-playing and interaction skills across multiple sessions, ensuring performance baselines are continuously adjusted and internalized.

This skill enables users to create new AI skills from scratch, modify existing ones, and optimize performance through evaluation and benchmarking. It supports iterative development loops, including drafting, testing with prompts, quantitative analysis, and refining descriptions for better triggering accuracy. Ideal for developers building custom agent workflows.

Automatically orchestrates 1-3 available skills into a cohesive, emotionally resonant deliverable whenever the user asks for “surprise me,” inspiration, or something unexpected, prioritizing visual flair and playful storytelling.

This meta-skill helps discover and apply the right engineering workflow skill for your current task. It organizes skills by development phase and guides you through processes like planning, implementation, testing, and deployment. It enforces core behaviors like surfacing assumptions, managing confusion, and verifying work to prevent common engineering mistakes and ensure quality.

Guides users through the Skills CLI to search for, present, and install open agent skills when they ask how to do specialized tasks or extend capability quickly.

An insightful guide detailing the patterns observed in a long-term, deep partnership between an AI and a principal engineer. It covers critical soft skills for high-energy creative work, such as building trust through honesty, matching rapid pace, providing constructive disagreement, and supporting human ownership of breakthroughs. Ideal for professionals who need to collaborate with highly capable, fast-moving human partners or build advanced AI systems that mirror nuanced human interaction.

A comprehensive workflow for discovering, integrating, and utilizing third-party APIs and SDKs. This skill guides the process by first detecting the project language, ensuring necessary guidelines and skills are present, systematically fetching API details, and providing structured guidance on authentication, model usage, and endpoint implementation. It tracks integration progress by recording specific development milestones (e.g., SDK setup, first call made).

This comprehensive guide provides a detailed framework for authoring effective and structured SKILL.md files for AI coding agents. It covers best practices for structuring content, including frontmatter fields, defining natural language triggers, establishing core principles, and incorporating advanced elements like decision trees and verification checklists, ensuring agents receive clear, actionable, and consistent technical guidance.

Guides teams through creating a complete GitHub Copilot configuration by outlining required instructions, reusable skills, and agent/workflow files tailored to the chosen tech stack and workflow preferences.

A comprehensive meta-skill template designed for developers to scaffold, structure, and define specialized Agent Skills for AI platforms like GitHub Copilot. It guides users through mandatory requirements, including folder naming conventions, YAML frontmatter best practices (name, description), and structuring the skill body with detailed workflows and documentation sections. Use this when building complex, specialized AI capabilities.

Use terminal commands to discover, list, create, edit, move, copy, enable/disable, and delete AI agent skills across 11 tools, handling format conversions and scope overrides between global and project configurations.