Skill UI

Execute discrete, bounded coding, review, or verification tasks using the Codex CLI as an isolated subagent. This tool is ideal for tasks requiring explicit file ownership, such as isolated refactoring, feature implementation, or independent code verification, without relying on continuous conversational context. It runs in a safe sandbox environment.

A powerful tool for conversational time tracking. Users simply report time spent in plain language (e.g., "read papers 2h, gym 1h"), and the skill parses this into structured rows (Activity, Minutes, Date) within your Notion database. It ensures data integrity by flagging any uncertain details as 'To-confirm' rows and batch-asking questions, preventing data fabrication. Use it for logging daily activities or performing time reviews.

A comprehensive, human-guided onboarding skill designed for users new to AI coding agents and Power BI agentic development. It provides structured setup help, deep conceptual explanations, and conversational guidance, mimicking a mentor's session. Modes include concise setup assistance and deep conceptual learning. Use cases: Setting up a new agent environment, understanding core AI concepts (models, prompts, tools), or auditing existing agent configurations.

This guide outlines the essential CLI commands for managing the full task lifecycle within the LobeHub task system. It covers viewing task details, creating and managing subtasks with dependencies, handling task-related documents (workspace), and tracking conversational topics. Use `lh task` to ensure structured workflow execution and progress reporting.

This skill provides comprehensive guidance on adapting marketing strategies for modern, rapidly evolving digital channels. It covers deep dives into optimizing content for voice search (Alexa, Google), building social commerce flows (TikTok, Instagram), designing conversational AI funnels (WhatsApp), and developing strategies for new platforms like podcasts and visual search. Use this skill when evaluating new market entry points or adapting to major shifts in consumer behavior.

This skill facilitates the loading and application of relevant historical experience memories (OpenViking memories) before executing task actions. It guides the user through a rigorous process: querying memories, applying strict applicability and exclusion checks (gating), and prioritizing real-time facts over loaded guidance. Essential for complex, multi-intent conversational flows.

A comprehensive strategic guide for authors submitting to the SIGDIAL Conference on Discourse and Dialogue. It helps evaluate if a dialogue system manuscript is suitable for the venue, refining the paper's narrative, strengthening empirical evidence, and understanding the specific requirements for discourse and conversational AI research to maximize submission success.

This skill provides a simple, warm greeting experience. It is designed to say 'hello' to the user, providing a pleasant and friendly interaction point for initial engagement or routine check-ins. Ideal for onboarding flows or simple conversational prompts.

This skill provides natural and friendly greetings to users. It can respond contextually based on the time of day, and incorporate the user's name for a more personalized experience. Ideal for basic conversational AI setup and initial user engagement.

Expert French legal assistant for legal research, consultations, contract and document analysis, drafting, counter-arguments, reference verification and harmonization. Supports French, EU and European convention law and produces structured conversational answers or Word documents. Includes a strict anti-hallucination citation protocol.

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.