Skill UI

Scans YouTube, Reddit, and Wikipedia mentions to assess how AI systems recognize brands, generating a Brand Authority Score with platform-specific recommendations.

Creates new Feishu Cloud Docs from Lark-flavored Markdown, letting you optionally target folders, wiki nodes, or knowledge spaces while ensuring structured, rich, and visually varied content.

Fetches Feishu cloud document content as Lark-flavored Markdown, extracts media tokens, and guides invoking feishu_doc_media to download images, files, and whiteboards while handling wiki token resolution.

A comprehensive skill for managing, reading, creating, and editing content within Feishu Cloud Docs, Wiki, and Docx formats. It supports the full lifecycle of document interaction, including summarizing, translating, reviewing, and restructuring content. Crucially, it can extract and process embedded elements such as electronic spreadsheets, multi-dimensional tables, and visual whiteboards, ensuring deep interaction with complex knowledge bases.

Comprehensive utility for managing files and folders within Lark Drive (Cloud Space). This includes uploading, downloading, creating structures, handling metadata, managing comments, and controlling permissions. Crucially, it supports importing local formats (Word, Excel, Base, Markdown) into native cloud documents, and features advanced logic to resolve complex Wiki links and resource tokens for reliable automation.

A comprehensive tool for managing the entire lifecycle of the Feishu Wiki knowledge base. It allows users to create, query, and organize knowledge spaces, manage node structures, and handle comprehensive member access control (add/remove/list). Ideal for enterprise users requiring robust knowledge retention and collaborative document management.

Creates and edits Obsidian Flavored Markdown, covering frontmatter, wikilinks, embeds, callouts, math, diagrams, and other vault-specific syntax so notes render correctly when working in Obsidian or referencing its features.

This tool functions as a persistent, structured knowledge base for the entire research lifecycle. It accumulates and maps all core research entities—including published papers, generated ideas, experiments, and testable claims—along with their complex relationships (e.g., contradiction, support, inspiration). Inspired by LLM Wiki patterns, it ensures that knowledge is compounded and perpetually queryable, moving beyond single-use literature reviews.

This skill manages a persistent, structured personal knowledge base (Wiki). It provides core operations for ingesting external articles, synthesizing insights from conversations, and querying stored knowledge. By maintaining structured files, index lists, and cross-references, it helps build a comprehensive knowledge graph, ensuring all insights are captured and easily retrievable.

This guide details strategies for finding the full legal birth names of European actors, particularly those from French and Eastern European backgrounds. When English sources or IMDb only list stage names, this technique emphasizes using regional resources like French Wikipedia and specific cultural identifiers (e.g., "People's Artist" USSR) to perform deep, targeted searches, ensuring the retrieval of accurate birth details.

Use this skill to comprehensively verify all constraints related to a candidate cricket player. By cross-referencing structured data from sources like Wikipedia or Cricinfo, you can confirm details such as birth date, debut match specifics (format, opponent, score), career records, and teams played for. It is crucial for establishing factual accuracy, especially when distinguishing between different formats like ODI, T20I, and Test matches.

A persistent memory kit designed for Claude AI agents. It maintains deep context across multiple sessions and projects using a two-layer architecture (hot cache and knowledge wiki). Features include safety hooks, multi-project context isolation, and a /close-day command for daily synthesis, ensuring agents remember complex information and continuously learn.