ddd-refiner SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
ddd-refiner from techygarg/lattice is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add techygarg/lattice/ddd-refiner@git:20260903.6d09876Pins git:20260903.6d09876 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- techygarg/lattice
- Path
skills/ddd-refiner/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260903.6d09876, committed Sep 3, 2026
- Size
- 11,900 bytes
- Repository stars
- 206
- License
- MIT
Facilitate a structured conversation to define DDD guardrails for domain design within a repository. Produces a formal ddd-principles.md document that the domain-driven-design atom will use as its override. Use when setting up domain design principles, defining aggregate rules, or when the user says 'setup DDD', 'define domain rules', 'DDD principles', or 'help me define my domain patterns'.
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
# DDD Refiner ## What This Produces - **Output**: `.lattice/standards/ddd-principles.md` (or custom path from `.lattice/config.yaml` → `paths.ddd_principles`) - **Two modes**: - **Overlay** (`mode: overlay`): A slim document containing only sections that differ from the defaults. The domain-driven-design atom reads its embedded defaults first, then applies this document's sections on top. This is the expected common case. - **Override** (`mode: override`): A comprehensive standalone document that fully replaces the atom's embedded defaults. For teams with fundamentally different domain modeling principles. - **Default mode**: Overlay -- produces only what the user wants to change - **Config key**: `paths.ddd_principles` in `.lattice/config.yaml` - **Template**: Read `./assets/template.md` for the full document structure, default content, and interview guidance comments ## Scope Clarification …
Read the whole file at its exact version.
How to install
mdr add techygarg/lattice/ddd-refiner@sha256:cd5d9dd8f5c9a36eThe line at the top of this page pins the label git:20260903.6d09876, 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.
[](https://markdownregistry.com/a/art_lqubgnnn4whh22of)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 3, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11900 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
techygarg/lattice · 206 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lqubgnnn4whh22of GET https://markdownregistry.com/api/v1/resolve?ref=techygarg/lattice/ddd-refiner GET https://markdownregistry.com/api/v1/blob/cd5d9dd8f5c9a36e5f3b9f8421265b6228bc5577a75710b3e2c99db235a077ad
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.
More from techygarg/lattice
Every file in techygarg/lattice