Apply DDD tactical patterns when working with domain code, and validate proposed domain models before approval (design mode). Enforces aggregate design, value objects over primitives, entity identity rules, and bounded context boundaries. Use when creating or modifying domain models, designing aggregates, working in the domain layer, or when the user mentions 'domain', 'aggregate', 'value object', 'entity', 'bounded context', or 'DDD'.
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-Driven Design
## Config Resolution
The skill supports project-custom principles. Resolution:
1. Look for `.lattice/config.yaml` in the repo root.
2. If found, check `paths.ddd_principles` for a custom doc path.
3. If a custom document exists at that path, read it and check its YAML frontmatter `mode`:
- **`mode: override`**: the custom doc has full precedence.
Use it instead of the embedded default. It must be comprehensive -- sole reference.
- **`mode: overlay`** (or no mode): read the embedded `./references/defaults.md` first, then apply
the custom doc on top. A custom section replaces the matching default
section (matched by heading); new sections append after the defaults.
4. If a custom path is configured but no document exists at it → tell the user which configured path is missing, then read `./references/defaults.md`.
5. If there is no config file or no `paths.ddd_principles` key → read `./references/defaults.md`.
…
The line at the top of this page pins the label git:20260903.83fa756, 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.
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 (7574 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
techygarg/lattice · 206 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_db7l352vibczjvv2
GET https://markdownregistry.com/api/v1/resolve?ref=techygarg/lattice/domain-driven-design
GET https://markdownregistry.com/api/v1/blob/a0d3996244fb86489eb3a1b2c0f0c40e3fefbb2c7b3b69b54883d9bf2eeda65e
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.
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techygarg/lattice · skills/domain-driven-design/SKILL.md · Apply DDD tactical patterns when working with domain code, and validate proposed domain models before approval (design…
