domain-modeling SKILL.md skillA

domain-modeling from rohitg00/pro-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add rohitg00/pro-workflow/domain-modeling@git:20260718.7f7209d

Pins git:20260718.7f7209d in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
rohitg00/pro-workflow
Path
skills/domain-modeling/SKILL.md
Versions recorded
1
Latest version
git:20260718.7f7209d, committed Jul 18, 2026
Size
2,979 bytes
Repository stars
2,944
License
none declared

Build the project's shared language and bounded contexts before writing code, so names stay consistent and the agent stops paraphrasing domain concepts. Produces a CONTEXT.md glossary and decision records. Use at the start of a project or feature, or when the codebase and the people describing it speak different languages.

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

# domain-modeling

Most misbuilds start as a language gap: the agent is dropped into a project
and left to infer the jargon, so it uses twenty words where the domain has
one. A shared language closes the gap. When code, conversation, and the model
all draw from the same vocabulary, names line up, navigation gets cheaper, and
the model spends fewer tokens reasoning because it has a tighter language to
reason in.

## Method

1. **Harvest the terms.** From the request, the codebase, and the user's own
   words, list the nouns and verbs that carry domain meaning - the concepts a
   newcomer would have to ask about. Prefer the user's word over a synonym you
   like better.
2. **Pin each one.** Write a one-line definition in the project's own language,
   not a dictionary definition. If two terms blur together, force the
   distinction or collapse them - ambiguity here becomes inconsistent names in
   code.
3. **Draw the boundaries.** Where the same word means different things in
   different parts of the system, that is a boundary. Name each context and
   note which terms belong to it. A term that means two things is two terms.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add rohitg00/pro-workflow/domain-modeling@sha256:0e9ba07d6d34b1ee

The line at the top of this page pins the label git:20260718.7f7209d, 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_2zvp5rc6npjryqky.svg)](https://markdownregistry.com/a/art_2zvp5rc6npjryqky)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 18, 2026.

versioncommittedcommitsizeaudit
git:20260718.7f7209d latest2026-07-18 7f7209d 2,979 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 (2979 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

rohitg00/pro-workflow · 2,944 stars · license none declared · pushed 2026-09-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2zvp5rc6npjryqky
GET https://markdownregistry.com/api/v1/resolve?ref=rohitg00/pro-workflow/domain-modeling
GET https://markdownregistry.com/api/v1/blob/0e9ba07d6d34b1ee05ac40072e345a1d7abc7e00d9778db98e025bee8db37eb1

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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