Skills ubiquitous-language
📦

ubiquitous-language

Content revision r2 Safe ⚙️ External commands

Build a Consistent Domain Language

Teams lose clarity when one concept has several names or one term has several meanings. This skill creates a canonical DDD glossary from your conversation.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "ubiquitous-language" from https://skillstore.io/skills/mattpocock-ubiquitous-language.md and its manifest at https://skillstore.io/api/skills/mattpocock-ubiquitous-language/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/mattpocock-ubiquitous-language.md Signed manifest GET /api/skills/mattpocock-ubiquitous-language/manifest Signed lockfile GET /api/skills/mattpocock-ubiquitous-language/lockfile

Test it

Using "ubiquitous-language". We call organizations customers or accounts, while login identities are also called accounts.

Expected outcome:

  • Customer: An organization that purchases services. Avoid account.
  • User: An authentication identity. Avoid login and account.
  • Flagged ambiguity: Account refers to both Customer and User. Use the canonical terms instead.

Using "ubiquitous-language". An order can ship in parts, and each completed shipment creates an invoice.

Expected outcome:

  • Order: A customer request to purchase one or more items.
  • Shipment: A dispatched group of items from one Order.
  • Invoice: A payment request created for a completed Shipment.
  • Relationship: One Order can produce multiple Shipments and multiple Invoices.

Using "ubiquitous-language". Update our glossary after deciding that cancellation happens before dispatch, while return happens after delivery.

Expected outcome:

  • Cancellation: Termination of an Order or Shipment before dispatch.
  • Return: Movement of delivered goods back from the Customer.
  • Boundary: Use Cancellation before dispatch and Return after delivery.

Security Audit

Safe
v5 • 7/23/2026 Open versioned report

All seven static findings are false positives caused by inline code formatting, fenced Markdown, and table text in SKILL.md. The skill contains no shell execution or system reconnaissance instructions, and no semantic security concerns were found.

1
Files scanned
94
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (5)
SKILL.md:19 SKILL.md:24 SKILL.md:26-58 SKILL.md:58-81 SKILL.md:81
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

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https://skillstore.io/skills/mattpocock-ubiquitous-language/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

mattpocock. (2026). ubiquitous-language security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/mattpocock-ubiquitous-language/audits/5

BibTeX citation

@techreport{mattpocock-mattpocock-ubiquitous-language-2026, author = {mattpocock}, title = {ubiquitous-language security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/mattpocock-ubiquitous-language/audits/5}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "ubiquitous-language security audit report (audit version 5)" version: "unspecified" type: report authors: - name: "mattpocock" date-released: "2026-07-23" url: "https://skillstore.io/skills/mattpocock-ubiquitous-language/audits/5" identifiers: - type: other value: "skillstore:mattpocock-ubiquitous-language:audit:5" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium
55
Architecture
85
Maintainability
87
Content
67
Community
91
Spec Compliance

What You Can Build

Align a Product Team

Convert planning discussions into shared definitions and flag terms that product, design, and engineering use differently.

Clarify a Domain Model

Document entities, lifecycle terms, relationships, and aliases before implementing a domain model.

Maintain Project Terminology

Update an existing glossary as requirements discussions introduce new concepts or refine previous definitions.

Try These Prompts

Create a Basic Glossary 
Create a ubiquitous language glossary from this conversation. Define each important domain term and list aliases to avoid.
Resolve Ambiguous Terms 
Review our discussion for ambiguous or overloaded terms. Choose canonical names, explain each distinction, and update the ubiquitous language glossary.
Map Domain Relationships 
Extract our domain language and group terms by subdomain or lifecycle. Document relationships and cardinality where the conversation provides enough evidence.
Evolve an Existing Glossary 
Read the existing UBIQUITOUS_LANGUAGE.md and incorporate this discussion. Revise changed definitions, add new terms, and recheck all flagged ambiguities.

Best Practices

  • Include enough conversation context for definitions and boundaries to be evidence-based.
  • Ask domain experts to review canonical terms before the team adopts them.
  • Rerun the skill when requirements change or new ambiguities appear.

Avoid

  • Do not treat the generated glossary as verified domain authority.
  • Do not include generic programming terms unless they carry domain-specific meaning.
  • Do not preserve multiple synonyms when the team needs one canonical term.

Frequently Asked Questions

What does this skill create?
It creates UBIQUITOUS_LANGUAGE.md with definitions, aliases, relationships, example dialogue, and flagged ambiguities.
What information does it analyze?
It analyzes the current conversation and reads an existing UBIQUITOUS_LANGUAGE.md file during later runs.
Does it choose canonical terminology?
Yes. It selects preferred terms and lists conflicting synonyms as aliases to avoid.
Can it organize terms by subdomain?
Yes. It creates separate groups when the conversation reveals clear subdomains, lifecycles, or actor categories.
Will it update an existing glossary?
Yes. A later run can add terms, revise definitions, identify new ambiguities, and rewrite the example dialogue.
Does it validate definitions with external sources?
No. It relies on conversation context, so domain experts should review important definitions and relationships.

Developer Details

Author

mattpocock

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Repository

https://github.com/mattpocock/skills/tree/main/skills/deprecated/ubiquitous-language/

Ref

ebdfe608f5de2b66ff37ab4af12af8ac4f5e8006

Maintenance freshness

7/25/2026

Usage

7 downloads · 0 views

File structure

📄 SKILL.md