Plan and render Manim CE videos from narrative prompts.
npx skills add https://github.com/xiaoquqi/hermes-agent-skills --skill manim-video-xiaoquqi
Please help me install this Agent Skill. Skill: manim-video Source: https://github.com/xiaoquqi/hermes-agent-skills/tree/main/creative/manim-video Command: npx skills add https://github.com/xiaoquqi/hermes-agent-skills --skill manim-video-xiaoquqi
Building and delivering polished education videos is time-consuming: planning, scripting, rendering, and editing require multiple tools and manual coordination.
Plan your video in plan.md, implement scenes in script.py, render with Manim CE, and stitch the clips into a final video.
High-intent search queries and answers about installing and using this skill.
You can generate explainer videos by writing a narrative arc in plan.md and implementing scenes in script.py. The pipeline plans the narrative, generates Manim scene code, renders the clips, and stitches them into a final video.
You need Python 3.10+, Manim Community Edition, pdflatex, and ffmpeg installed. These tools handle scene rendering, LaTeX-based text rendering, and video stitching to produce the final output.
Yes, Manim is suitable for algorithm demonstrations, math visualizations, equation derivations, and data stories. The pipeline supports narrative-driven production with one scene per concept, ensuring consistent visual language and pacing.
No, the pipeline consolidates planning, scene code generation, rendering, and stitching into a single workflow. You define narrative arcs in plan.md and implement scenes in script.py, eliminating the need for manual coordination across multiple tools.
Structure your video by placing the narrative arc in plan.md and implementing one scene per concept in script.py. This approach maintains consistent visual language and pacing throughout educational explanations and data stories.
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