Tech Article Diagram

Article Explainer Video transforms long-form technical content into 5–8 minute narrated videos with multiple layout styles, AI-generated illustrations, and synchronized subtitles. Choose between warm (cozy handdrawn) or midnight (tech-forward) visual themes, then let the pipeline handle storyboarding, illustration generation, text-to-speech, and MP4 rendering.

This execution layer routes image generation requests to four different API providers—MuleRun Nano Banana 2, APImart GPT Image 2, Atlas Cloud GPT Image 2, and Agnes Image 2.1 Flash—switchable via the `--provider` parameter. It supports both pure text-to-image generation and reference-image-based editing in single or batch modes, designed to be called by other skills rather than used directly.

Agnes AI Skill brings multimodal generation—text, images, and video—to your terminal through the agnes-ai-cli. It wraps Agnes's models (text-to-image, image-to-image, image-to-video, and keyframe video) in a streamlined CLI interface, handling auth, file uploads, and polling automatically. Use it for prototyping, creative iteration, or agent-driven content workflows.

Short Video Cover creates platform-optimized 3:4 vertical thumbnails for short-form video platforms by analyzing your video script and producing covers with bold typography, host imagery, and UI elements that drive engagement. Choose from 11 visual styles—from dark tech to split-screen narrative—or use the default deep-tech look, then let the skill generate and self-check your cover before delivery.

This integrated skill bundles six specialized capabilities for producing teaching media: image generation, technical article illustrations, subject infographics, animated lessons with voiceover, short-form video covers, and article-to-video conversion. Route requests to the appropriate sub-skill, or chain multiple capabilities into complete production pipelines for knowledge points or long-form content.

Edu Subject Infographic transforms any topic into a vertical teaching graphic by automatically identifying the subject, breaking down 3–5 core concepts, assigning a cohesive color scheme, and generating illustrated descriptions for each section. The skill includes dual-layer accuracy verification—checking prompts against subject-specific guidelines before generation, then visually reviewing the rendered PNG for text clarity, formulas, and diagram logic. Batch generation lets you create multiple infographics at once with consistent styling but distinct color palettes.