parametric-modeling SKILL.md skillB

parametric-modeling from marcinfinitesimal533/claude-skills-for-computational-designers is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add marcinfinitesimal533/claude-skills-for-computational-designers/parametric-modeling@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
marcinfinitesimal533/claude-skills-for-computational-designers
Path
skills/parametric-modeling/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Mar 26, 2026
Size
40,468 bytes
Repository stars
3
License
MIT

Parametric design methodology, data structures, constraint systems, Grasshopper and Dynamo patterns, parameter space exploration, and associative geometry for AEC computational design.

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

# Parametric Modeling for AEC Computational Design

This skill provides a complete reference for parametric design methodology as applied to architecture, engineering, and construction. It covers the intellectual framework, data structures, constraint logic, tool-specific taxonomies for Grasshopper and Dynamo, associative geometry patterns, and professional best practices.

---

## 1. Parametric Thinking Methodology

### 1.1 What Makes Design Parametric vs. Static

A static design is a fixed artifact — a single geometric configuration with hard-coded dimensions. Changing one element requires manually adjusting every dependent element. A parametric design is a system of relationships: a directed graph of inputs, transformations, and outputs where modifying any input propagates changes through the entire dependency chain automatically.

The distinction is not merely about sliders. Parametric thinking means encoding **design intent** rather than design outcome. The designer authors a set of rules that describe a family of possible designs, not a single instance.

**Key characteristics of parametric models:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add marcinfinitesimal533/claude-skills-for-computational-designers/parametric-modeling@sha256:c691f8766d8fe6e4

The line at the top of this page pins the label v1.0.0, 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_hs4djbbkfzvu4e3c.svg)](https://markdownregistry.com/a/art_hs4djbbkfzvu4e3c)

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

Versions

The registry has recorded 1 version of this file, committed on Mar 26, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-03-26 6dff3d2 40,468 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: Frontmatter declares a name
  • pass: Frontmatter block present
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (40468 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

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

marcinfinitesimal533/claude-skills-for-computational-designers · 3 stars · license MIT · pushed 2026-10-13 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hs4djbbkfzvu4e3c
GET https://markdownregistry.com/api/v1/resolve?ref=marcinfinitesimal533/claude-skills-for-computational-designers/parametric-modeling
GET https://markdownregistry.com/api/v1/blob/c691f8766d8fe6e45bfc428a05609438bb04f1621a24d38f8f7668030c10d872

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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