Manim Video Production
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
Produces 3Blue1Brown-style explainer animations with Manim Community Edition for math, algorithms, equations and architecture diagrams, with planning and rendering references.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-manim-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-manim-video .claude/skills/prismer-manim-video && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prismer-manim-video" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-manim-video into .claude/skills/prismer-manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-manim-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-manim-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-manim-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-manim-video .agents/skills/prismer-manim-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prismer-manim-video" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-manim-video into .agents/skills/prismer-manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-manim-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-manim-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-manim-video .cursor/skills/prismer-manim-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prismer-manim-video" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-manim-video into .cursor/skills/prismer-manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-manim-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Prismer-AI/PrismerCloud.git --path sdk/cloud/catalog/skills/prismer-manim-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-manim-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-manim-video .gemini/skills/prismer-manim-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prismer-manim-video" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-manim-video into .gemini/skills/prismer-manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-manim-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Prismer-AI/PrismerCloud prismer-manim-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .github/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-manim-video .github/skills/prismer-manim-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prismer-manim-video" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-manim-video into .github/skills/prismer-manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-manim-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-manim-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-manim-video .opencode/skills/prismer-manim-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prismer-manim-video" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-manim-video into .opencode/skills/prismer-manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-manim-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
prismer-manim-videoProduces 3Blue1Brown-style explainer animations with Manim Community Edition for math, algorithms, equations and architecture diagrams, with planning and rendering references.
This skill treats animation as teaching. Before any code, the agent writes down the narrative arc: what misconception the video corrects, where the moment of insight comes and how the viewer moves from confusion to understanding. Its standards include showing geometry before algebra, layering opacity so primary elements sit at 1.0, context at 0.4 and structure such as axes at 0.15, pausing with self.wait() after each animation, and keeping colors, type sizes and speeds consistent across scenes.
Setup runs scripts/setup.sh to check Python 3.10 or newer, Manim Community Edition 0.20 or later, LaTeX and ffmpeg, with docs tested against 0.20.1. A mode table maps input types to outputs and reference files, and the reference folder is large: scene planning, animations, equations, camera and 3D, graphs and data, mobjects, updaters, visual design, production quality, rendering, a paper explainer guide and troubleshooting. The excerpt is cut off in the modes table.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0d240dd. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
ffmpegpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Manim Explainer Videos loads about 3.1k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 18 tokens; SKILL.md has 1,086 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from Prismer-AI/PrismerCloud at commit 0d240dd, republished under its MIT licence (© Prismer-AI). 1,086 words, ~3,056 tokens.
.claude/skills/prismer-manim-video/SKILL.md (or your agent's skills folder). This skill also uses 20 other files; get the full folder from GitHub.Use when users request: animated explanations, math animations, concept visualizations, algorithm walkthroughs, technical explainers, 3Blue1Brown style videos, or any programmatic animation with geometric/mathematical content. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories using Manim Community Edition.
This is educational cinema. Every frame teaches. Every animation reveals structure.
Before writing a single line of code, articulate the narrative arc. What misconception does this correct? What is the "aha moment"? What visual story takes the viewer from confusion to understanding? The user's prompt is a starting point — interpret it with pedagogical ambition.
Geometry before algebra. Show the shape first, the equation second. Visual memory encodes faster than symbolic memory. When the viewer sees the geometric pattern before the formula, the equation feels earned.
First-render excellence is non-negotiable. The output must be visually clear and aesthetically cohesive without revision rounds. If something looks cluttered, poorly timed, or like "AI-generated slides," it is wrong.
Opacity layering directs attention. Never show everything at full brightness. Primary elements at 1.0, contextual elements at 0.4, structural elements (axes, grids) at 0.15. The brain processes visual salience in layers.
Breathing room. Every animation needs self.wait() after it. The viewer needs time to absorb what just appeared. Never rush from one animation to the next. A 2-second pause after a key reveal is never wasted.
Cohesive visual language. All scenes share a color palette, consistent typography sizing, matching animation speeds. A technically correct video where every scene uses random different colors is an aesthetic failure.
Run scripts/setup.sh to verify all dependencies. Requires: Python 3.10+, Manim Community Edition v0.20+ (pip install manim), LaTeX (texlive-full on Linux, mactex on macOS), and ffmpeg. Reference docs tested against Manim CE v0.20.1.
| Mode | Input | Output | Reference |
|---|---|---|---|
| Concept explainer | Topic/concept | Animated explanation with geometric intuition | references/scene-planning.md |
| Equation derivation | Math expressions | Step-by-step animated proof | references/equations.md |
| Algorithm visualization | Algorithm description | Step-by-step execution with data structures | references/graphs-and-data.md |
| Data story | Data/metrics | Animated charts, comparisons, counters | references/graphs-and-data.md |
| Architecture diagram | System description | Components building up with connections | references/mobjects.md |
| Paper explainer | Research paper | Key findings and methods animated | references/scene-planning.md |
| 3D visualization | 3D concept | Rotating surfaces, parametric curves, spatial geometry | references/camera-and-3d.md |
Single Python script per project. No browser, no Node.js, no GPU required.
| Layer | Tool | Purpose |
|---|---|---|
| Core | Manim Community Edition | Scene rendering, animation engine |
| Math | LaTeX (texlive/MiKTeX) | Equation rendering via MathTex |
| Video I/O | ffmpeg | Scene stitching, format conversion, audio muxing |
| TTS | ElevenLabs / Qwen3-TTS (optional) | Narration voiceover |
PLAN --> CODE --> RENDER --> STITCH --> AUDIO (optional) --> REVIEWplan.md with narrative arc, scene list, visual elements, color palette, voiceover scriptscript.py with one class per scene, each independently renderablemanim -ql script.py Scene1 Scene2 ... for draft, -qh for productionfinal.mp4references/rendering.mdproject-name/
plan.md # Narrative arc, scene breakdown
script.py # All scenes in one file
concat.txt # ffmpeg scene list
final.mp4 # Stitched output
media/ # Auto-generated by Manim
videos/script/480p15/| Palette | Background | Primary | Secondary | Accent | Use case |
|---|---|---|---|---|---|
| Classic 3B1B | #1C1C1C | #58C4DD (BLUE) | #83C167 (GREEN) | #FFFF00 (YELLOW) | General math/CS |
| Warm academic | #2D2B55 | #FF6B6B | #FFD93D | #6BCB77 | Approachable |
| Neon tech | #0A0A0A | #00F5FF | #FF00FF | #39FF14 | Systems, architecture |
| Monochrome | #1A1A2E | #EAEAEA | #888888 | #FFFFFF | Minimalist |
| Context | run_time | self.wait() after |
|---|---|---|
| Title/intro appear | 1.5s | 1.0s |
| Key equation reveal | 2.0s | 2.0s |
| Transform/morph | 1.5s | 1.5s |
| Supporting label | 0.8s | 0.5s |
| FadeOut cleanup | 0.5s | 0.3s |
| "Aha moment" reveal | 2.5s | 3.0s |
| Role | Font size | Usage |
|---|---|---|
| Title | 48 | Scene titles, opening text |
| Heading | 36 | Section headers within a scene |
| Body | 30 | Explanatory text |
| Label | 24 | Annotations, axis labels |
| Caption | 20 | Subtitles, fine print |
Use monospace fonts for all text. Manim's Pango renderer produces broken kerning with proportional fonts at all sizes. See references/visual-design.md for full recommendations.
MONO = "Menlo" # define once at top of file
Text("Fourier Series", font_size=48, font=MONO, weight=BOLD) # titles
Text("n=1: sin(x)", font_size=20, font=MONO) # labels
MathTex(r"\nabla L") # math (uses LaTeX)Minimum font_size=18 for readability.
Never use identical config for all scenes. For each scene:
Before any code, write plan.md. See references/scene-planning.md for the comprehensive template.
One class per scene. Every scene is independently renderable.
from manim import *
BG = "#1C1C1C"
PRIMARY = "#58C4DD"
SECONDARY = "#83C167"
ACCENT = "#FFFF00"
MONO = "Menlo"
class Scene1_Introduction(Scene):
def construct(self):
self.camera.background_color = BG
title = Text("Why Does This Work?", font_size=48, color=PRIMARY, weight=BOLD, font=MONO)
self.add_subcaption("Why does this work?", duration=2)
self.play(Write(title), run_time=1.5)
self.wait(1.0)
self.play(FadeOut(title), run_time=0.5)Key patterns:
self.add_subcaption("text", duration=N) or subcaption="text" on self.play()self.camera.background_color set in every sceneself.play(FadeOut(Group(*self.mobjects)))manim -ql script.py Scene1_Introduction Scene2_CoreConcept # draft
manim -qh script.py Scene1_Introduction Scene2_CoreConcept # productioncat > concat.txt << 'EOF'
file 'media/videos/script/480p15/Scene1_Introduction.mp4'
file 'media/videos/script/480p15/Scene2_CoreConcept.mp4'
EOF
ffmpeg -y -f concat -safe 0 -i concat.txt -c copy final.mp4manim -ql --format=png -s script.py Scene2_CoreConcept # preview still# WRONG: MathTex("\frac{1}{2}")
# RIGHT:
MathTex(r"\frac{1}{2}")label.to_edge(DOWN, buff=0.5) # never < 0.5self.play(ReplacementTransform(note1, note2)) # not Write(note2) on topself.play(Create(circle)) # must add first
self.play(circle.animate.set_color(RED)) # then animate| Quality | Resolution | FPS | Speed |
|---|---|---|---|
-ql (draft) | 854x480 | 15 | 5-15s/scene |
-qm (medium) | 1280x720 | 30 | 15-60s/scene |
-qh (production) | 1920x1080 | 60 | 30-120s/scene |
Always iterate at -ql. Only render -qh for final output.
| File | Contents |
|---|---|
references/animations.md | Core animations, rate functions, composition, .animate syntax, timing patterns |
references/mobjects.md | Text, shapes, VGroup/Group, positioning, styling, custom mobjects |
references/visual-design.md | 12 design principles, opacity layering, layout templates, color palettes |
references/equations.md | LaTeX in Manim, TransformMatchingTex, derivation patterns |
references/graphs-and-data.md | Axes, plotting, BarChart, animated data, algorithm visualization |
references/camera-and-3d.md | MovingCameraScene, ThreeDScene, 3D surfaces, camera control |
references/scene-planning.md | Narrative arcs, layout templates, scene transitions, planning template |
references/rendering.md | CLI reference, quality presets, ffmpeg, voiceover workflow, GIF export |
references/troubleshooting.md | LaTeX errors, animation errors, common mistakes, debugging |
references/animation-design-thinking.md | When to animate vs show static, decomposition, pacing, narration sync |
references/updaters-and-trackers.md | ValueTracker, add_updater, always_redraw, time-based updaters, patterns |
references/paper-explainer.md | Turning research papers into animations — workflow, templates, domain patterns |
references/decorations.md | SurroundingRectangle, Brace, arrows, DashedLine, Angle, annotation lifecycle |
references/production-quality.md | Pre-code, pre-render, post-render checklists, spatial layout, color, tempo |
If the user asks for creative, experimental, or unconventional explanatory approaches, select a strategy and reason through it BEFORE designing the animation.
Take a standard mathematical/technical visualization and transform it:
© Prismer-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 20 other files (scripts, references) in sdk/cloud/catalog/skills/prismer-manim-video of Prismer-AI/PrismerCloud.
Open the folder on GitHubat commit 0d240dd
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Prismer-AI/PrismerCloud, which our catalogue first saw on October 7, 2026.
Manim Explainer Videos next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Manim Explainer Videos this skillPrismer-AI/PrismerCloud | 1.6k | 2 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Hand-Drawn Explainer Video Makerhi-nikola/hand-drawn-explainer-video-nikola | 374 | — | ~904 | Automated safety check: Pass | Apache-2.0 | |
| Qiaomu Cutjoeseesun/qiaomu-cut-skill | 372 | — | ~6.8k | Automated safety check: Notes | MIT | |
| ShowtimeFavioVazquez/showtime | 220 | — | ~3k | Automated safety check: Pass | MIT | |
| Day in My Life Agent Filmheygen-com/hyperframes-community-skills | 187 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 |
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
hi-nikola/hand-drawn-explainer-video-nikola
Produces Chinese hand-drawn explainer videos with voiceover, subtitles, timeline, editable project and a real MP4, by stroke-by-stroke story animation or programmatic animation.
joeseesun/qiaomu-cut-skill
把一句话需求转成可复现、可验收视频工程的乔木智能剪辑导演。Use when the user asks to create, plan, edit, remix, explain, narrate, subtitle, animate, composite, or render a video—including one-line requests such as “制作一个科普视频:介绍…
FavioVazquez/showtime
A skill your agent uses when the user wants a video made, edited or finished: a launch or promo, product demo, explainer, trailer or teaser, tutorial or walkthrough, a screen recording turned into a…
heygen-com/hyperframes-community-skills
Turns your local Claude Code session history into a 60 to 75 second hand-drawn ink film about a day with your agent, with a string score and your approval of every line.
Anil-matcha/vox-ai-motion-graphics-generator
Turn ONE topic, talking-head video, or photo into a finished Vox-style paper-collage explainer / ad video on the MuAPI platform (api.muapi.ai) + local ffmpeg — script, collage keyframes, motion…
Prismer-AI/PrismerCloud
Gives an agent account-scoped access to Gmail, Calendar, Drive, Contacts, Docs and Sheets through the gws CLI or a bundled Python client.
Prismer-AI/PrismerCloud
Walks an agent through creating, importing, editing, validating, testing and publishing Prismer Skills with a fixed workflow and bundled scripts.
Prismer-AI/PrismerCloud
Operates a mailbox from the terminal with the external Himalaya CLI over IMAP, SMTP, Notmuch or Sendmail, separate from any built-in email gateway adapter.
Prismer-AI/PrismerCloud
Generates one image from a text prompt with a bundled Node.js helper and delivers it once as the attachment to the current Prismer reply.
Prismer-AI/PrismerCloud
Creates or updates Prismer role templates from a persona, SOP or job description, and turns a role into a working agent that runs its first task through a bundled script.
Prismer-AI/PrismerCloud
Fetches a YouTube transcript with a helper script and reshapes it into chapters, summaries, X threads, blog posts or timestamped quotes.
Categories
Produces 3Blue1Brown-style explainer animations with Manim Community Edition for math, algorithms, equations and architecture diagrams, with planning and rendering references. This skill treats animation as teaching. Before any code, the agent writes down the narrative arc: what misconception the video corrects, where the moment of insight comes and how the viewer moves from confusion to understanding.
Manim Explainer Videos fits situations like: making an animated explanation of a math or computer science concept; visualizing how an algorithm runs step by step; animating an equation derivation with geometric intuition; turning a research paper's main idea into a short explainer video.
Run `npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a claude-code`. Or copy the skill folder (sdk/cloud/catalog/skills/prismer-manim-video in Prismer-AI/PrismerCloud) into .claude/skills/prismer-manim-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a codex`. Or copy the skill folder (sdk/cloud/catalog/skills/prismer-manim-video in Prismer-AI/PrismerCloud) into .agents/skills/prismer-manim-video in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Prismer-AI/PrismerCloud --skill prismer-manim-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prismer-manim-video, .gemini/skills/prismer-manim-video, .github/skills/prismer-manim-video and .opencode/skills/prismer-manim-video in your project.
Going by SKILL.md and its folder, Manim Explainer Videos needs the command-line tools its instructions call (ffmpeg and pip). Our summary lists: Python 3.10 or newer; Manim Community Edition (`pip install manim`); A LaTeX installation; ffmpeg.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Manim Explainer Videos is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 22k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Manim Explainer Videos: Manim Video Production (browser-use/video-use, 29k stars), Hand-Drawn Explainer Video Maker (hi-nikola/hand-drawn-explainer-video-nikola, 374 stars), Qiaomu Cut (joeseesun/qiaomu-cut-skill, 372 stars) and Showtime (FavioVazquez/showtime, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Prismer-AI (a GitHub organization) maintains it in Prismer-AI/PrismerCloud, which has 1,555 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on October 11, 2026.
Source: Prismer-AI/PrismerCloud on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.