Skill UI

Resolve blank or mispositioned Markdown panes in cmux by opening fresh viewers correctly or closing conflicting panes first. Avoids the move-surface bug that causes blank rendering.

Audit and migrate existing Markdown renderers to Markstream while preserving custom renderers, security policy, streaming behavior, and explicit parity gaps. Use for replacing react-markdown, markdown-it, marked, or similar.

Integrate markstream-vue into Nuxt 3 or 4 with SSR-safe client boundaries, renderer modes, explicit CSS, and browser-only optional peers for streaming Markdown.

Integrate markstream-vue2 into Vue CLI or Webpack 4 projects with export-map-safe CSS, CDN worker fallbacks, and safe streaming markdown rendering defaults.

Integrate markstream-vue2 into a Vue 2 plus Vite project with bundled worker imports, CSS layer ordering, Composition API compatibility, and safe streaming markdown defaults for chat or history rendering.

Convert Markdown documents into narrated MP4 videos with synchronized visuals and speech. Generates Marp slides, Edge-TTS narration, and combines them into a presentation-style video. Ideal for tutorials, reports, and presentations.

This skill functions as an optional agent companion for MDPR, a deterministic Markdown-to-presentation runtime. It helps review presentation workflows by providing semantic hints, visual evidence reports, and high-level layout intentions. Crucially, it keeps agent output evidence-based while letting MDPR maintain control over final slide geometry, rendering details, and layout coordinates.

This powerful router analyzes complex document types (scanned, medical, table-heavy, etc.) and determines the optimal conversion pipeline (tools, flags, cleanup) to extract data into various formats like Markdown, JSON, or DOCX. It goes beyond simple text extraction by prioritizing the preservation of document structure, relational data, and high fidelity, ensuring the generated output is accurate for downstream machine processing.

Guides choosing the right output format (plain, markdown, djot, HTML, JSON, DocTags) and token-reduction level for Xberg document extraction, based on downstream consumers like LLMs, RAG systems, parsers, or human review.

A protocol enabling AI agents from different vendors to collaborate on long-running projects, route work to best-suited agents, and improve over time. Uses markdown files with no central server, featuring capability cards, contracts, chronicles, and self-amendment mechanisms for cross-vendor optimization and constitutional evolution.

Search and retrieve Remotion documentation using Algolia API and Markdown URLs. Helps developers find accurate API references and implementation guides for video creation tasks without memorizing details. Supports workflow for discovering current docs and fetching source code.

This skill scaffolds the necessary configurations for advanced engineering workflows. It guides the user through setting up the issue tracking system (GitHub, GitLab, or local markdown), defining the canonical triage label vocabulary, and establishing the domain documentation context (single or multi-context). It must be run once to initialize the repository for subsequent agent-driven development skills.