Skill UI

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 comprehensive guide provides step-by-step instructions for upgrading Snowflake drivers (Node.js and Python) and managing complex data warehouse migrations. It covers prerequisite checks, reviewing release notes, handling common API breaking changes (e.g., cursor types, async connections), and performing post-migration validation to ensure application stability during platform or edition upgrades.

This powerful compiler ingests heterogeneous research inputs, including PDF papers, code repositories, experiment logs, and raw notes. It transforms this diverse data into a comprehensive, structured Agent-Native Research Artifact (ARA). The system extracts core knowledge atoms, builds cognitive maps (claims, concepts, heuristics), and generates a verifiable, executable knowledge package for advanced AI consumption and research iteration.

This skill generates a comprehensive, structured meeting notes page in HTML format. It captures all essential meeting elements, including attendees, a detailed agenda checklist, key decisions, and a trackable action items table (with owners and due dates). Ideal for documenting meeting minutes, 1:1 recaps, or all-hands summaries to ensure clear follow-up and accountability.

Generates a low-fidelity, hand-drawn wireframe sketch perfect for communicating early design concepts. It meticulously mimics the look of marker drawings, sticky notes, and whiteboard scribbles on graph paper, ensuring the output reads like a preliminary ideation sketch rather than a finished UI. Ideal for use when the brief specifies 'lo-fi,' 'sketch,' or 'whiteboard.'

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

A professional methodology for writing penetration test and red team reports, covering executive summaries, technical findings, CVSS scoring, evidence handling, remediation tracking, retest notes, and delivery formats for clients and internal teams.

This end-to-end pipeline automates the conversion of a completed academic research paper into a full conference talk artifact. It generates a slide outline, Beamer source, editable PPTX, speaker notes, full script, and polished visuals. Critically, it includes rigorous assurance checks (citation, claim, anonymity) to ensure academic integrity, making the output suitable for top-tier conferences like NeurIPS or ICML. Use this when you need the complete, polished presentation package, not just a draft deck.

This minimal example demonstrates the structure of an MDA source file, including advanced frontmatter fields (metadata) and how to properly implement relationship-graph footnotes. It serves as a crucial reference fixture for users learning the MDA source format.

A comprehensive skill for handling PowerPoint (.pptx) files. This includes text extraction, deep content analysis via raw XML access (comments, notes, layouts, themes), and programmatic creation of new presentations from scratch. It guides users through design principles, color theory, and structured document generation workflows.

Generates single-file horizontal page-flip web PPTs with WebGL backgrounds, presenter view, audience sync, speaker notes, chapter covers, data highlight and image grid templates. Supports magazine-inspired electronic ink style and Swiss International typographic style for talks, demos and product launches.

A self-hosted, semantic memory service designed for AI agents. It allows agents to save worklogs, decisions, and notes, and recall this knowledge across sessions based on meaning rather than exact keywords. Using pgvector and structured workspaces, it maintains persistent, context-aware knowledge bases, making it ideal for collaborative AI projects.