Python Executor
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
Create mathematical animations and explainer videos with Manim Community - code-driven animations for math, CS concepts, data visualization.
$ npx skills add AlexAI-MCP/hermes-CCC --skill manim-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC 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/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/manim-video .claude/skills/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 "manim-video" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/manim-video into .claude/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/AlexAI-MCP/hermes-CCC/tree/master/skills/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 AlexAI-MCP/hermes-CCC --skill manim-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC manim-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/manim-video .agents/skills/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 "manim-video" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/manim-video into .agents/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 AlexAI-MCP/hermes-CCC --skill manim-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC manim-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/manim-video .cursor/skills/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 "manim-video" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/manim-video into .cursor/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/AlexAI-MCP/hermes-CCC.git --path skills/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 AlexAI-MCP/hermes-CCC --skill manim-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC manim-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/manim-video .gemini/skills/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 "manim-video" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/manim-video into .gemini/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 AlexAI-MCP/hermes-CCC 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 AlexAI-MCP/hermes-CCC --skill manim-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/manim-video .github/skills/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 "manim-video" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/manim-video into .github/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 AlexAI-MCP/hermes-CCC --skill 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 AlexAI-MCP/hermes-CCC manim-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/manim-video .opencode/skills/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 "manim-video" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/manim-video into .opencode/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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.
manim-videoCreate mathematical animations and explainer videos with Manim Community - code-driven animations for math, CS concepts, data visualization.
Manim Video is an agent skill from AlexAI-MCP/hermes-CCC. Create mathematical animations and explainer videos with Manim Community - code-driven animations for math, CS concepts, data visualization.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Data visualization and Video production. It works with Manim. The repository describes itself as: Hermes Agent ported to Claude Code Channel — 46 native skills, no OAuth, no external process. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8107e89. 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.
Shell commands in SKILL.md call:
pipFrom 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 Video loads about 2.3k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 847 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); files beside SKILL.md are not scanned.
The full file from AlexAI-MCP/hermes-CCC at commit 8107e89, republished under its MIT licence (© AlexAI-MCP). 847 words, ~2,327 tokens.
.claude/skills/manim-video/SKILL.md (or your agent's skills folder).pip install manimmanim --version.from manim import *
class MyScene(Scene):
def construct(self):
text = Text("Hello, Manim")
self.play(Write(text))
self.wait()scene.py.manim -pql scene.py MyScene-pql means preview plus quality low.-pqh when you want a higher-quality render for export or sharing.CircleSquareTextMathTexAxesNumberPlaneArrowThese cover a large fraction of introductory math and CS explainer work.
from manim import *
class Shapes(Scene):
def construct(self):
circle = Circle(color=BLUE)
square = Square(color=GREEN).shift(RIGHT * 2)
arrow = Arrow(circle.get_right(), square.get_left(), color=YELLOW)
self.play(Create(circle), Create(square))
self.play(Create(arrow))
self.wait()Text for plain words, labels, titles, and UI-like annotations.MathTex for equations and symbolic math..next_to() and .to_edge().from manim import *
class Derivative(Scene):
def construct(self):
expr = MathTex(r"\frac{d}{dx} x^2 = 2x")
self.play(Write(expr))
self.wait()MathTex is one of Manim's highest-value primitives for educational video.from manim import *
class PlotExample(Scene):
def construct(self):
ax = Axes()
graph = ax.plot(lambda x: x**2, color=BLUE)
label = ax.get_graph_label(graph, label="x^2")
self.play(Create(ax))
self.play(Create(graph), FadeIn(label))
self.wait()Axes() for standard 2D coordinate systems.NumberPlane() when you want a visible grid..plot() for function graphs.from manim import *
class PlaneExample(Scene):
def construct(self):
plane = NumberPlane()
point = Dot(plane.c2p(2, 3), color=RED)
note = Text("Point (2, 3)").scale(0.5).next_to(point, UP)
self.play(Create(plane))
self.play(FadeIn(point), Write(note))
self.wait()CreateWriteTransformFadeInFadeOutMoveAlongPathThese are enough to build most educational sequences.
from manim import *
class AnimateBasics(Scene):
def construct(self):
circle = Circle(color=BLUE)
square = Square(color=GREEN)
self.play(Create(circle))
self.play(Transform(circle, square))
self.play(FadeOut(circle))from manim import *
class AlongPath(Scene):
def construct(self):
path = Circle(radius=2, color=WHITE)
dot = Dot(color=YELLOW).move_to(path.point_from_proportion(0))
self.add(path, dot)
self.play(MoveAlongPath(dot, path), run_time=3)
self.wait()MoveAlongPath is useful for state machines, orbital motion, and process flow visuals..shift().move_to().next_to().align_to().to_edge().to_corner()VGroup(...) for grouping and arrangementGood layout discipline saves time during revision.
REDBLUEGREENYELLOWWHITEORANGEPURPLETEALUse consistent semantic coloring across the scene.
WHITE or light tones for neutral reference geometry.from manim import *
class CameraExample(Scene):
def construct(self):
plane = NumberPlane()
self.add(plane)
self.play(self.camera.frame.animate.scale(0.5))
self.wait()media/videos/.media/ tree.self.wait() to hold the frame.run_time= on animation calls to tune pacing.This pattern works for algorithms, math derivations, and data stories.
Transformfrom manim import *
class My3DScene(ThreeDScene):
def construct(self):
axes = ThreeDAxes()
sphere = Sphere(radius=1, color=BLUE)
self.set_camera_orientation(phi=75 * DEGREES, theta=30 * DEGREES)
self.play(Create(axes), FadeIn(sphere))
self.begin_ambient_camera_rotation(rate=0.2)
self.wait(3)ThreeDScene for surfaces, vectors, and spatial intuition.-pql for fast feedback.pip install manim.class MyScene(Scene): def construct(self):.Circle, Square, Text, MathTex, Axes, NumberPlane, and Arrow.Create, Write, Transform, FadeIn, FadeOut, and MoveAlongPath.manim -pql scene.py MyScene and switch to -pqh for higher quality.MathTex(r"\\frac{d}{dx} x^2 = 2x") for math and Axes().plot(...) for graphs.self.camera.frame.animate.scale(0.5) when zooming improves comprehension.media/videos/.© AlexAI-MCP, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/manim-video of AlexAI-MCP/hermes-CCC.
Open the folder on GitHubat commit 8107e89
Manim Video 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 Video this skillAlexAI-MCP/hermes-CCC | 135 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Concept Visualization Generatormingchen666/Reviva | 244 | — | ~2.8k | Automated safety check: Pass | None | |
| Plotbeat Data VideosUnclecheng-li/AI_Animation | 1.5k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| D3 Vizcalesthio/OpenMontage | 66k | 3 repos | ~5.4k | Automated safety check: Pass | AGPL-3.0 |
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
mingchen666/Reviva
Design and generate concept-first learning artifacts: concept cards, visual explanations, diagrams, interactive HTML demos, Manim/math visualizations, matplotlib scientific plots, misconception…
Unclecheng-li/AI_Animation
Turns a local CSV or JSON file, or data fetched from an approved source, into an editable data-visualization video by adapting HyperFrames templates.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
calesthio/OpenMontage
Creating interactive data visualisations using d3.js. An agent skill from calesthio/OpenMontage.
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…
AlexAI-MCP/hermes-CCC
Review GitHub pull requests with a findings-first engineering mindset.
AlexAI-MCP/hermes-CCC
Run a disciplined GitHub pull request workflow from branch creation through merge.
AlexAI-MCP/hermes-CCC
Manage durable project memory for Claude Code. An agent skill from AlexAI-MCP/hermes-CCC.
AlexAI-MCP/hermes-CCC
Route Claude Code work by complexity, risk, and tool needs. An agent skill from AlexAI-MCP/hermes-CCC.
AlexAI-MCP/hermes-CCC
Create, improve, inventory, and audit Claude Code skills. An agent skill from AlexAI-MCP/hermes-CCC.
AlexAI-MCP/hermes-CCC
Capture Claude Code interaction trajectories in training-friendly formats.
Works with
Categories
Create mathematical animations and explainer videos with Manim Community - code-driven animations for math, CS concepts, data visualization. Manim Video is an agent skill from AlexAI-MCP/hermes-CCC. Create mathematical animations and explainer videos with Manim Community - code-driven animations for math, CS concepts, data visualization.
Manim Video fits situations like: tasks that involve Data visualization; tasks that involve Video production.
Run `npx skills add AlexAI-MCP/hermes-CCC --skill manim-video -a claude-code`. Or copy the skill folder (skills/manim-video in AlexAI-MCP/hermes-CCC) into .claude/skills/manim-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AlexAI-MCP/hermes-CCC --skill manim-video -a codex`. Or copy the skill folder (skills/manim-video in AlexAI-MCP/hermes-CCC) into .agents/skills/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 AlexAI-MCP/hermes-CCC --skill 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/manim-video, .gemini/skills/manim-video, .github/skills/manim-video and .opencode/skills/manim-video in your project.
Going by SKILL.md and its folder, Manim Video needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
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. Review the folder before installing.
Manim Video is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Manim Video: Python Executor (cortega26/chile-hub, 113 stars), Concept Visualization Generator (mingchen666/Reviva, 244 stars), Plotbeat Data Videos (Unclecheng-li/AI_Animation, 1.5k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AlexAI-MCP (a GitHub user) maintains it in AlexAI-MCP/hermes-CCC, which has 135 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on April 8, 2026.
Source: AlexAI-MCP/hermes-CCC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.