Skill UI

This skill transforms an LLM into a disciplined wiki maintainer for Obsidian. It moves beyond simple RAG by incrementally ingesting sources (papers, notes, articles) to build a persistent, interlinked "Second Brain." The LLM manages cross-references, updates core concepts, and maintains an evolving knowledge graph, ensuring that knowledge compounds over time rather than being re-derived on every query. Ideal for deep research, personal knowledge management (PKM), and building comprehensive internal wikis.

This skill guides the identification and search for specialized crew members (such as production controllers, costume designers, music directors) in South Asian cinema. It is essential when a question focuses on technical roles rather than just the director or lead actors. By using specific search queries on reliable databases (like IMDb or Wikipedia) after identifying the film, users can efficiently locate detailed production credits.

A comprehensive guide detailing five validated architecture patterns for utilizing Notion as a powerful backend database. Use cases include: Headless CMS for blogging, task tracking for project management, building knowledge bases (wikis), handling form submissions, and serving as a data pipeline source. Includes schema design and code examples using TypeScript and Python.

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 skill builds a persistent knowledge base combining LLM wiki patterns with structured graphs. It ingests documents once to generate wiki pages and extract entities/relations, avoiding re-derivation. It supports agents with evidence-based querying, wiki search, and knowledge accumulation, ensuring cross-references are never lost.

This skill automatically enriches research wiki pages that are left as bare scaffolds after initial ingestion. It reads multiple external sources (like arXiv/alphaxiv) and fills in 10 structured `_TODO._` sections (e.g., Problem/Gap, Key Results, Open Questions) with detailed prose summaries. Use this skill to transform incomplete research scaffolds into a comprehensive, structured knowledge base.

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.

This comprehensive skill acts as a virtual Chief of Staff, guiding founders through a rigorous 12-phase interview process. It systematically gathers and structures every facet of a business—from foundation and strategy to legal and governance—into a compliant Open Knowledge Format (OKF) bundle. Ideal for creating comprehensive, machine-readable company documentation, internal wikis, or knowledge bases for AI agents.

A comprehensive tool designed to audit and ensure the consistency of brand entity data across critical online knowledge sources, including Wikidata, Google Knowledge Panel, and Wikipedia. It systematically checks key properties like founding date, HQ location, and official website against the brand's source of truth profile, flagging discrepancies to protect AI engine trust and maximize digital visibility. Essential for global brand managers and digital marketers.

This skill compiles durable, non-obvious findings into an interlinked markdown knowledge store using atomic files and wiki links. It ensures agents retain knowledge across sessions without relearning facts. It involves creating one fact per file with metadata like confidence and provenance, maintaining an index for easy retrieval. Ideal for research, competitive intel, or investigation results.

This workflow bundle facilitates comprehensive technical documentation generation for software projects. It covers creating API documentation, architecture diagrams, README files, code comments, and user guides. The process includes planning, generating OpenAPI specs, documenting code structures, and maintaining wikis. It ensures all documentation types are up-to-date and accurate for developers and users.

Maintain a review-first engineering wiki with provenance, citation-aware queries, explicit capture and promotion, and deterministic checks. Helps teams capture durable lessons and verify knowledge before turning it into rules.