Skill UI

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 provides a comprehensive framework for optimizing operational costs within the Glean enterprise search platform. It details best practices for content governance, including filtering stale drafts and limiting document sizes, optimizing data source connectors, and implementing incremental indexing strategies. Implementing these measures helps minimize indexing volume and usage fees, maximizing search value while maintaining cost efficiency.

A comprehensive guide and workflow for managing a personal knowledge vault using Obsidian. It details best practices for structuring notes in a flat file system, utilizing index notes, and leveraging wikilinking syntax ([[wikilinks]]) for robust connectivity. Includes command-line methods (grep/find) for efficient searching, note creation, and finding related backlinks across the entire vault, ensuring organized, interconnected learning.

This tool accesses a persistent FTS5 knowledge base containing previously indexed project documentation, local content, and session memory. Instead of feeding entire raw sources into the conversation context, it allows users to perform targeted, efficient searches using specific queries and source scoping. This is ideal for quickly retrieving technical details, project specifications, or historical context without lengthy re-reading.

This skill enables the creation and maintenance of highly structured, configurable research wikis. It manages source provenance, compiling raw source materials into organized concept pages, index maps, and derived artifacts. Ideal for systematically documenting complex knowledge bases, such as research notes, product documentation, or domain studies, ensuring full traceability and consistency.

A comprehensive guide for creating and maintaining an atomic, index-driven knowledge base (KB) using Markdown. This method enables AI agents to bypass traditional vector search limitations by reading a central index file (INDEX.md) and opening only the most relevant, highly signaled notes, drastically improving context efficiency.

Documents manifest locations for an example skill, guiding users to use the manifest index in README.md to locate related documentation.