Skill UI

A command-line interface skill for radare2, enabling binary reconnaissance, disassembly, analysis, function locating, and lightweight patching without a GUI. Supports various formats like exe, dll, elf, and apk. Ideal for scripting automation and quick terminal-based reverse engineering tasks using r2, rabin2, rasm2, and radiff2.

Execute exactly one explicitly assigned YYLO Ledger task through the Ralph loop to a validated, queued commit using the yy CLI. Handles task admission, preflight and finish while never pushing, deploying, merging or releasing.

Implement proven methodologies and tool workflows from top security researchers for effective reconnaissance, vulnerability discovery, and bug bounty hunting. Automate common tasks while maintaining thorough coverage of attack surfaces.

Search and retrieve Remotion documentation using Algolia API and Markdown URLs. Helps developers find accurate API references and implementation guides for video creation tasks without memorizing details. Supports workflow for discovering current docs and fetching source code.

Create repository-based execution contracts for multi-session implementation work, with stable task IDs, evidence gates, checkpoints, and exact resume state for fresh agents.

Automate browser and Windows desktop application interactions using Playwright and OpenReverse for reverse engineering, evidence collection, and UI-driven workflows. Supports network observation and structured UI operations for security analysis tasks.

Review supervisor, swarm, planner-worker and parallel agent workflows as distributed state machines: task ownership, shared state, branch joins, retries, cancellation, context handoffs, budgets, deadlocks and human escalation before rollout.

This skill addresses vague or ambiguous user requests by initiating a structured, multi-round questioning process. Instead of making assumptions, it systematically clarifies dimensions like audience, scope, tone, and format across several rounds (up to three). This structured approach ensures the resulting output is highly accurate and requires minimal revision cycles.

This skill provides best practices for structuring Makepad applications using the Robius framework. It covers async backend integration, Tokio runtime integration, and communication patterns between UI and worker tasks. Suitable for building production-ready applications with complex sync/async requirements.

This skill executes the DeepSWE benchmark, a comprehensive coding-agent evaluation suite. It uses OpenRouter and mini-swe-agent to score various Large Language Models (LLMs) on 113 tasks, providing reproducible results for model comparison, development assessment, and research benchmarking. Use this when a standardized, deep evaluation of LLM coding capabilities is required.

The RunAPI CLI serves as the dedicated execution layer for interacting with RunAPI's suite of advanced AI models. It allows developers to programmatically generate multimodal content, including images, videos, and music/audio, directly from the terminal or CI/CD pipeline. Users can submit one-off jobs, manage asynchronous tasks, and pass complex JSON request bodies to various services like Suno, Claude, and Gemini, making it essential for robust AI automation workflows.

Create effective operational runbooks, standard operating procedures, and troubleshooting guides for on-call engineers. Includes templates for service documentation, recovery procedures, and automation scripts for common tasks like database failover and health checks.