Skill UI

Learn how to build complex, multi-step AI agents using Cohere's Chat API v2. This skill demonstrates defining external tools (like weather APIs or database searches) and implementing the full agent loop: model calls tool -> execute tool -> feed result back -> final answer. Ideal for creating autonomous, tool-using workflows that interact with external systems.

This skill integrates with the Runway ML platform, enabling developers to programmatically generate high-quality video and edit images using the official Python SDK. Use this when your workflow requires advanced creative AI features, such as converting text prompts into videos, or managing complex creative tasks within a CI/CD pipeline. The skill provides necessary patterns and error handling for successful API calls.

This skill guides the user through setting up the OpenViking long-term memory plugin for OpenClaw. It automatically captures critical facts and important context from conversations and recalls relevant information across sessions, enabling advanced RAG capabilities. The process is fully wizard-driven, requiring no CLI knowledge from the user.

This skill utilizes the Gemini Nano Banana Pro model to generate and edit high-quality images. It is ideal for users needing to create visuals, generate product mockups, design logos, or perform complex photo editing tasks based on text prompts. Supports file-based API calls for robust operation.

This skill uses Python and boto3 to analyze AWS CloudTrail logs. It establishes statistical baselines of normal API activity and detects various anomalies, such as unusual event sources, first-time API usage, geographic IP deviations, and high-frequency calls. This is critical for identifying credential compromise, privilege escalation, and unauthorized resource access in a security incident.