Skill UI

This comprehensive skill assists authors in evaluating the suitability and optimal framing of their computer science manuscript for the International Conference on Discovery Science. It provides deep, venue-specific guidance on required evidence, scope vocabulary (e.g., automated discovery, explainable patterns), and structural adjustments needed to emphasize the scientific discovery process, rather than just predictive results. Essential for optimizing high-level conference submission strategy.

This tool serves as a pre-flight safety check for legal prompts before submission to third-party AI surfaces (e.g., ChatGPT, Claude). It assesses whether the content risks compromising attorney-client privilege or work-product protection. The output provides a structured safety band (SAFE/CAUTION/STOP), detailed triggered risk factors, a discovery impact summary, and a legally safe, redacted rewrite.

Discover Japanese NLP resources including existing ones in awesome-japanese-nlp-resources and new unlisted resources. Mines bundled datasets and expands via web research across GitHub and Hugging Face. Find alternatives, equivalents, or prepare contributions for Japanese NLP tools and models.

Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review. Deliver justified decisions, verification methods, PDF reports, and visualizations.

Coordinates discovery, matching, and workflow orchestration across agent ecosystems, automatically scanning SKILL.md, ranking relevant skills, and executing multi-step plans for complex requests.

Comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing. Covers vulnerability discovery, authentication bypass, IDOR exploitation, injection attacks, and API-specific vectors.

This skill enables users to generate images and videos using the Atlas Cloud asynchronous media API. It includes model discovery, schema validation, task submission, and safe polling for results. Requires an API key and HTTPS calls. Suitable for workflows needing media generation without bundling SDKs.

Manage AI agent context by offloading data to files for just-in-time loading. Reduces context window bloat and enables dynamic discovery of relevant information. Supports scratch pads, plan persistence, and sub-agent communication to optimize long-term tasks and reduce token costs.

A cross-protocol platform for discovering and searching 18,000+ MCP servers and AI agents across six or more registries. It allows users to find the necessary endpoint for specific tasks (like database access or file conversion) by searching across MCP, A2A, and agents.txt protocols simultaneously.

This skill enables AI assistants to interact with the Hugging Face Hub via Model Context Protocol (MCP). Users can search for models, datasets, and papers, retrieve repository details, fetch documentation, and execute compute jobs on GPU or CPU. It also allows leveraging Gradio Spaces as functional AI tools. Ideal for developers and researchers needing direct access to the HF ecosystem for model discovery, training, and deployment workflows.

This advanced skill is a multi-agent research framework designed for executing deep, extensive research in parallel. It orchestrates a team of 10 specialized agents to gather, synthesize, and analyze information simultaneously. It is ideal for complex topics that require rapid, broad, and battle-tested investigation across multiple dimensions, significantly accelerating the knowledge discovery process.

Generate images and videos using MuAPI's schema-driven asynchronous API. This skill handles model discovery, request preparation, secure submission, and polling for results, ensuring key protection and efficient media generation workflows.