Skill UI

A utility for interacting with the Lark/Feishu communication directory. It allows users to search for employees by name or email to obtain an open_id, or use an open_id to retrieve comprehensive profile data, including department, contact details, status, and signature. Ideal for preparing information before sending messages or scheduling events. Note that department tree traversal and organizational structure mapping require native OpenAPI calls.

A CLI tool for managing Lark Drive files and folders. Supports uploading, downloading, importing local documents (Excel, Markdown, PPTX) to online formats, managing permissions, and handling comments.

Guides developers to wrap Feishu API calls into reusable lark-cli skills, covering API research, command templates, and best practices for authentication, permissions, and orchestration.

Search historical Lark video conferences, retrieve meeting minutes, AI summaries, action items, transcripts, and query participant snapshots for completed meetings.

This comprehensive workflow automatically retrieves and synthesizes your day's schedule (meetings and events) and uncompleted to-do tasks. It generates a structured 'Standup Report' or daily briefing, featuring conflict detection, time zone conversion, and a clear overview of all commitments and pending items. Ideal for morning standups or checking daily readiness.

Provides OpenClaw agents with local persistent memory via MemOS, managing installation, configuration, upgrades, and a memory viewer for secure offline workflows.

Describes how to use the MemOS local memory toolkit to recall past conversations, search shared histories, and choose the right memory tool when automatic recall is insufficient.

Guides agents through researching Microsoft technologies via Learn MCP docs, then scaffolds hybrid skills that store essential knowledge locally while enabling dynamic lookups for depth.

Build interconnected Excel financial models (income statement, balance sheet, cash flow, DCF, cap table, scenarios) driven by an assumptions sheet so each output updates automatically from provided inputs.

Generates polished investor and sales pitch decks as a single .pptx with gradient backgrounds, charts, tables, stat callouts, and speaker notes on every content slide for fundraising, product launches, or enterprise proposals.

This guide details the OpenViking long-term memory plugin, which enhances conversational AI by automatically capturing key facts and preferences from past interactions. It utilizes auto-capture modes (semantic or keyword) to store memories and automatically recalls relevant context before generating a response, ensuring continuity and personalization across long conversations. Provides tools for retrieval, manual storage, and memory deletion.

This skill allows agents to ingest external resources (local files, URLs, repositories) using `ov add-resource`, and to create long-lasting searchable memories from conversations using `ov add-memory`. It is essential for building a comprehensive, persistent knowledge base for the OpenViking context database, ensuring that learned insights and external data remain available across sessions and interactions. Use when external knowledge injection or context persistence is required.