Find the perfect skill

Data & AI

Validate references in an academic PDF by extracting text, parsing citations, and verifying each via web search and arXiv ID checks.

Testing

Controls Android and iOS devices through the MobAI HTTP API. Supports screenshots, taps, text input, swipes, and app launching. Uses specialized sub-agents (native-runner for native apps, web-runner for web pages) to break down complex automation tasks hierarchically.

Data & AI

Deep research and decision analysis for car purchases. Runs a 6-phase pipeline and outputs actionable recommendations.

Testing

Helps investigate bugs, perform root cause analysis, and generate fixes using systematic debugging methods. Leverages log analysis, debuggers, and techniques like 5 Whys to resolve logic errors, memory leaks, and performance issues. Best used when debugging or troubleshooting code issues.

Development

Create or edit Claude Code skills with expert guidance on structure and best practices.

Development

Emergency halt an active game session, mark it as stopped, and clean up state files. Use this command to stop a running game, cancel a playtest, or purge game state.

Development

Reviews code and design against criteria such as completeness, code style compliance, consistency, clean architecture, best practices, simplicity, and test coverage. Helps ensure high-quality implementations by providing structured feedback with severity-ranked issues and recommendations.

Productivity

Recall relevant long-term memories extracted by OpenViking Session memory. Use when context about past decisions, fixes, or historical context is needed.

Development

The Atlassian MCP Server enables coding agents like Cursor and Claude Code to interact directly with JIRA and Confluence. It provides tools for viewing, creating, updating, and searching JIRA issues, as well as managing comments and Confluence pages. Useful for developers who need to access Atlassian data without leaving their coding environment.

Development

Set up a local development environment for tekton-pruner, covering kind, ko, Tekton Pipelines, and observability stack.

Documentation

Review a skill folder for clarity, trigger quality, and maintainability.

Data & AI

Provides expert guidance on quantum kernel methods for machine learning, including fidelity and projected quantum kernels, kernel matrix computation via circuit execution, and integration with classical SVM solvers. Supports feature map design, kernel alignment optimization, and bandwidth tuning for improved classification performance. Helps leverage high-dimensional Hilbert spaces for potential quantum advantage in kernel-based machine learning tasks.