Skill UI

This workflow mandates external verification for all non-trivial factual claims, ensuring accuracy in high-stakes domains. It is essential when researching current events, legal matters, scientific claims, or providing statistics. The process requires decomposing tasks, searching external sources, and providing immediate, inline citations to support every claim, overriding reliance on internal, potentially outdated knowledge.

Expert guide for the Gemini Notebook (formerly Google NotebookLM) CLI and MCP server. Use it to manage notebooks, add sources, generate podcasts/reports/quizzes, conduct research, chat with sources, and automate workflows programmatically.

A comprehensive utility for managing the global configuration of the Ouroboros system. This tool allows users to adjust per-stage runtime parameters, select global models, configure the LLM backend, and manage agent definitions. It supports multiple interaction modes, including graphical user interfaces (browser/TUI), remote SSH environments, and conversational chat interfaces, ensuring consistent setup regardless of the deployment context. Ideal for optimizing complex AI agent workflows.

Ouroboros is a sophisticated requirement crystallization engine designed for robust AI workflows. It transforms vague, high-level ideas into validated, actionable specifications using advanced techniques, including Socratic interviewing to expose hidden assumptions, generating immutable seed specs, and executing a rigorous 3-stage evaluation (Mechanical > Semantic > Consensus). Ideal for product managers and developers needing to solidify complex AI project requirements.

This meta-skill automates the entire short-drama production pipeline, starting from a simple topic. The workflow analyzes the request to infer render style, character identity, and shot count. It first drafts a detailed, shot-by-shot shooting script and pauses for user review. After approval, it generates a universal cast reference image, per-shot composition images, and corresponding video clips. Crucially, it maintains character and scene consistency by anchoring every video to both the reference image and the composition image. Finally, it adds title/ending cards, burns subtitles, and de...

This comprehensive guide outlines the principles, architecture, and best practices for developing specialized, modular skills that extend large language model capabilities. Learn how to integrate domain expertise, multi-step workflows, API tool integrations, and structured resources while managing the context window efficiently.

This skill audits the security and integrity of legal AI components, including skills, prompts, workflows, and tools. It proactively detects prompt injection, malicious code, data exfiltration paths, and supply-chain risks before deployment or trust. Essential for maintaining confidentiality, privilege, and adhering to legal standards in AI environments.

This skill compiles user creative intent into executable image and video prompts for AI models. It specializes in character consistency, cinematic storyboards, and reference asset mapping for R2V/I2V/T2V tasks. It ensures visual contracts, narrative flow, and production-ready specifications without replacing model capabilities.

Generate virtual spatial transcriptomics from H&E histology tiles with DeepSpot-M, a multimodal foundation model. Predict log1p-CPM expression for ~19k protein-coding genes per 224x224 tile at 20x, with whole-slide tiling workflows.

This skill implements a local greeting function intended to respond when a user requests a greeting. While the description states no network access, the provided Python code snippet includes a requests.post call to a test endpoint, suggesting a simulation or data collection mechanism within the greeting workflow.