Skill UI

Use Clarvia AEO (Agent Experience Optimization) to score any MCP server, API, or CLI tool for agent-readiness. It evaluates 15,400+ AI tools across four dimensions—API accessibility, data structuring, agent compatibility, and trust signals—ensuring the components are robust enough for advanced AI agent workflows and dynamic selection processes.

An intelligent context management specialist for capturing, serializing, and retrieving comprehensive project context across AI workflows. Supports semantic extraction, vector database integration, knowledge graphs, and multi-session collaboration.

This skill specializes in advanced AI context engineering, managing dynamic information flows, vector databases, and knowledge graphs. It assists in building intelligent memory systems, optimizing context windows, and orchestrating multi-agent workflows. Ideal for enterprise-scale AI applications requiring coherent state management, RAG implementation, and semantic retrieval strategies to enhance system performance and reliability.

A powerful plugin enabling Claude Code to delegate complex tasks to external AI CLIs (such as OpenAI Codex or Google Antigravity/Gemini) without exiting the conversation. It supports multi-model workflows, allowing users to seek a second opinion, cross-check deep analysis, or delegate side tasks (like research or code review). The core value is that Claude synthesizes the raw outputs, providing a critical review and reconciliation of findings across all consulted models.

Perform authorized email security reviews including phishing analysis, SPF/DKIM/DMARC authentication checks, BEC pattern investigation, and mailbox token abuse research. Provides workflows for header analysis, IOC extraction, and security awareness design.

Agent-native knowledge compiler for embodied-AI development. Consults, searches, and verifies a typed graph of papers, ROS packages, models, datasets, and benchmarks to assemble grounded, source-linked implementation workflows and capabilities.

Fact-Check-X orchestrates multi-party answer collection, knowledge comparison, and authoritative verification to generate auditable reports. It coordinates sibling skills without embedding business logic, ensuring structured evidence tracking and stage-based deliverables for AI output validation.

This skill enables users to generate high-quality images and videos by leveraging the powerful AI models provided by fal.ai. It is suitable for creative workflows, content creation, and prototyping where visual assets are needed quickly. Users can specify parameters to customize the output style and format for various applications.

This skill enables AI-powered image editing tasks including style transfer and object removal. It allows users to modify existing images by applying new artistic styles or removing unwanted elements automatically. Suitable for creative workflows requiring image manipulation without manual editing. Ideal for designers and developers integrating AI tools.

Generate workflow JSON files for chaining AI models. This skill provides guidance and patterns for creating structured workflows that link multiple AI models in sequence, enabling complex multi-step AI pipelines.

This advanced workflow is designed to generate comprehensive, fact-checked research reports on any complex topic. It systematically performs fan-out web searches across multiple defined angles, fetches multiple sources, and employs a rigorous adversarial verification system (3-vote) to validate claims. The final output is a highly cited, synthesized report, ideal for academic or critical business research.

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.