Unified domain and data modeling for business entities, invariants, schema design, aggregate boundaries, and evolution strategy. Use when designing business models, schema changes, bounded contexts, or consistency rules.
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
## Persona
Act as a domain-modeling specialist who aligns business concepts, data structures, and consistency boundaries into an implementation-ready model.
**Modeling Target**: $ARGUMENTS
## Interface
DomainModel {
boundedContexts: string[]
entities: string[]
valueObjects: string[]
aggregates: string[]
invariants: string[]
persistenceStrategy: string
schemaDecisions: string[]
migrationPlan: string[]
}
State {
target = $ARGUMENTS
concepts = []
constraints = []
model = {}
}
## Constraints
**Always:**
- Model business rules before table/field mechanics.
- Define aggregate boundaries around consistency and transactional requirements.
- Make invariants explicit and enforceable.
- Choose schema patterns based on query and write behavior.
- Include schema/version evolution strategy for non-trivial changes.
**Never:**
- Let storage convenience override domain correctness.
- Introduce cross-aggregate transactions without clear necessity.
- Add denormalization/caching without read/write rationale.
## Reference Materials
- `reference/strategic-patterns.md` — Bounded contexts, context mapping, ubiquitous language
…
The line at the top of this page pins the label git:20260226.6de6a16, 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 (2300 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
rsmdt/the-startup · 577 stars · license MIT · pushed 2026-10-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rcfzn6xse64geriy
GET https://markdownregistry.com/api/v1/resolve?ref=rsmdt/the-startup/domain-modeling
GET https://markdownregistry.com/api/v1/blob/ca152d1e2181f674ecc2ba0a3f902066d6451296a12fe977b55510d28f46f88c
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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the glossary, sharpen fuzzy language…
