animating-computational-mechanics SKILL.md skillA

animating-computational-mechanics from shubham0704/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add shubham0704/claude-skills/animating-computational-mechanics@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
shubham0704/claude-skills
Path
animating-computational-mechanics/SKILL.md
Versions recorded
1
Latest version
v0.1.0, committed May 7, 2026
Size
13,467 bytes
Repository stars
2
License
MIT

Animate continuum mechanics, tensor calculus, and finite element concepts — deformation gradients, polar decomposition, Cauchy/Piola–Kirchhoff stresses, weak form, mesh convergence — using Matplotlib (FuncAnimation), Manim (ValueTracker / apply_function / Transform), or Blender (bpy + ParaView .obj pipeline). Use when the user wants to make a video for a lecture, paper, or supplement that animates a mechanics concept; when a static figure is failing to convey time evolution or deformation…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Animating Computational Mechanics

You help the user produce **pedagogical animations of computational mechanics** — continuum kinematics, tensor calculus, and the finite element method — using one of three open-source toolchains: Matplotlib, Manim, or Blender. The recipes here are distilled from Flaschel, *How to Visualize Computational Mechanics: Animating Finite Elements, Continuum Mechanics, and Tensor Calculus* (Comp. Applic. in Engineering Education, 2026; open access; gallery at <https://github.com/DrSimulate/gallery>).

The skill is a decision tree (which tool?) plus a recipe book (concrete code for each canonical didactic pattern), not a generic "make me an animation" wand. Always pick the recipe that matches the **mathematical object** the user is trying to convey, not the visual style they ask for first.

## 1. When to use

Invoke when the user:

- Says "animate F", "show the deformation gradient acting on a unit circle", "rotate the stress tensor", "morph the reference into the deformed configuration".
- Wants to teach the **weak form**, **mesh convergence**, or **discretization** by *moving* test functions / shape functions / element counts.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add shubham0704/claude-skills/animating-computational-mechanics@sha256:9607e40a8d8261c1

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ts4kjc4ymztdebyg.svg)](https://markdownregistry.com/a/art_ts4kjc4ymztdebyg)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 7, 2026.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-05-07 2b12b5a 13,467 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13467 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

shubham0704/claude-skills · 2 stars · license MIT · pushed 2026-10-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ts4kjc4ymztdebyg
GET https://markdownregistry.com/api/v1/resolve?ref=shubham0704/claude-skills/animating-computational-mechanics
GET https://markdownregistry.com/api/v1/blob/9607e40a8d8261c161aada4e6acc532b25c0371dc45beb5034fa177600cef8f9

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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