Skill UI

Provides expert-level tooling and workflows for Atlassian Confluence. Capabilities include designing comprehensive documentation architectures, setting up permission hierarchies, creating standardized page templates, and managing content governance. Ideal for restructuring knowledge bases, standardizing documentation practices, or integrating Jira reports into spaces.

This workflow helps standardize and enhance meeting documentation by utilizing customizable templates, predefined recipes, and pre-meeting context. It is ideal for ensuring consistent, high-quality meeting notes across sales calls, standups, 1:1 check-ins, and strategic planning sessions, improving organizational knowledge capture.

Enhances screenshots and digital photos by analyzing quality, upscaling resolution, sharpening edges, and reducing artifacts so they stay presentation-ready for docs, slides, or social media.

Automates capturing chat insights into structured Notion pages by extracting key concepts, organizing content by type, and linking newly created entries into the right wikis and databases for easy discovery.

This deep-dive tool automates the complex process of migrating notes and knowledge bases from various platforms (such as Notion, Evernote, Roam, etc.) into Obsidian. It handles critical conversions like stripping platform-specific UUIDs, converting internal links to optimized Obsidian wikilinks ([[...]]), and correctly formatting attachments and YAML frontmatter, ensuring a seamless transition and preserving the structural integrity of your knowledge base.

This comprehensive workflow automates the entire meeting documentation process. It handles live or recorded audio input, performing accurate transcription with speaker diarization. Subsequently, it leverages advanced AI models to generate detailed summaries, extract key action items, draft follow-up emails, and create structured meeting minutes, significantly enhancing organizational knowledge retention and operational efficiency.

This skill guides users through transcribing live meetings (Zoom, Meet, Teams) or voice memos using advanced AI. It provides full transcriptions with timestamps, and advanced AI processing to automatically generate structured meeting summaries, prioritized action items with assignees, and key discussion points. It is essential for meeting accountability, knowledge capture, and project follow-up.

Captures coding session learnings by extracting corrections, successes, and anti-patterns with confidence scoring so teams can track, reinforce, and reuse technical knowledge across projects.

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.

Use the OpenViking CLI to search memories, skills, and resources with semantic and literal queries across directories, surfacing context-aware results whenever agents need stored knowledge or documentation.

Create, update, and connect nodes/edges inside Obsidian .canvas files, enabling structured mind maps, flowcharts, and visual canvases by validating IDs, spacing, and JSON integrity.

This skill guides the creation and editing of Obsidian Bases (.base files). It enables users to build dynamic, database-like views of notes by applying complex filters (AND, OR, NOT), defining computed properties using formulas, and configuring multiple views (table, cards, list). Use this when you need to aggregate, filter, or summarize information across multiple notes in a structured way, simulating a lightweight, navigable knowledge database.