mattpocock-ubiquitous-language
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms.
Skill by hedysom
Chalk Labs
Need help deploying mattpocock-ubiquitous-language?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hedysom-mattpocock-ubiquitous-language
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/mattpocock-ubiquitous-language
What's inside
- Skill name
mattpocock-ubiquitous-language- Description
- Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
- License
- MIT
- Instructions
- 89 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Ubiquitous Language Extract and formalize domain terminology from the current conversation into a consistent glossary, saved to a local file. ## Process 1. **Scan the conversation** for domain-relevant nouns, verbs, and concepts 2. **Identify problems**: - Same word used for different concepts (ambiguity) - Different words used for the same concept (synonyms) - Vague or overloaded terms 3. **Propose a canonical glossary** with opinionated term choices 4. **Write to `UBIQUITOUS_LANGUAGE.md`** in the working directory using the format below 5. **Output a summary** inline in the conversation ## Output Format Write a `UBIQUITOUS_LANGUAGE.md` file with this structure: ```md # Ubiquitous Language ## Order lifecycle | Term | Definition | Aliases to avoid | | ----------- | ------------------------------------------------------- | --------------------- | | **Order** | A customer's request to purchase one or more items | Purchase, transaction | | **Invoice** | A request for payment sent to a customer after delivery | Bill, payment request | ## People | Term | Definition | Aliases to avoid | | ------------ | ------------------------------------------- | ---------------------- | | **Customer** | A person or organization that places orders | Client, buyer, account | | **User** | An authentication identity in the system | Login, account | ## Relationships - An **Invoice** belongs to exactly one **Customer** - An **Order** produces one or more **Invoices** ## Example dialogue > **Dev:** "When a **Customer** places an **Order**, do we create the **Invoice** immediately?" > **Domain expert:** "No — an **Invoice** is only generated once a **Fulfillment** is confirmed. A single **Order** can produce multiple **Invoices** if items ship in separate **Shipments**." > **Dev:** "So if a **Shipment** is cancelled before dispatch, no **Invoice** exists for it?" > **Domain expert:** "Exactly. The **Invoice** lifecycle is tied to the **Fulfillment**, not the **Order**." ## Flagged ambiguities - "account" was used to mean both **Customer** and **User** — these are distinct concepts: a **Customer** places orders, while a **User** is an authentication identity that may or may not represent a **Customer**. ``` ## Rules - **Be opinionated.** When multiple words exist for the same concept, pick the best one and list the others as aliases to avoid. - **Flag conflicts explicitly.** If a term is used ambiguously in the conversation, call it out in the "Flagged ambiguities" section with a clear recommendation. - **Only include terms relevant for domain experts.** Skip the names of modules or classes unless they have meaning in the domain language. - **Keep definitions tight.** One sentence max. Define what it IS, not what it does. - **Show relationships.** Use bold term names and express cardinality where obvious. - **Only include domain terms.** Skip generic programming concepts (array, function, endpoint) unless they have domain-specific meaning. - **Group terms into multiple tables** when natural clusters emerge (e.g. by subdomain, lifecycle, or actor). Each group gets its own heading and table. If all terms belong to a single cohesive domain, one table is fine — don't force groupings. - **Write an example dialogue.** A short conversation (3-5 exchanges) between a dev and a domain expert that demonstrates how the terms interact naturally. The dialogue should clarify boundaries between related concepts and show terms being used precisely. <example> ## Example dialogue > **Dev:** "How do I test the **sync service** without Docker?" > **Domain expert:** "Provide the **filesystem layer** instead of the **Docker layer**. It implements the same **Sandbox service** interface but uses a local directory as the **sandbox**." > **Dev:** "So **sync-in** still creates a **bundle** and unpacks it?" > **Domain expert:** "Exactly. The **sync service** doesn't know which layer it's talking to. It calls `exec` and `copyIn` — the **filesystem layer** just runs those as local shell commands." </example> ## Re-running When invoked again in the same conversation: 1. Read the existing `UBIQUITOUS_LANGUAGE.md` 2. Incorporate any new terms from subsequent discussion 3. Update definitions if understanding has evolved 4. Re-flag any new ambiguities 5. Rewrite the example dialogue to incorporate new terms
From hedysom/pi-mattpocock-skills, MIT.
More from hedysom/pi-mattpocock-skills
- 0.474score
mattpocock-obsidian-vault
hedysom
Search, create, and manage notes in the Obsidian vault with wikilinks and index notes.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-scaffold-exercises
hedysom
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-setup-pre-commit
hedysom
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-diagnose
hedysom
Disciplined diagnosis loop for hard bugs and performance regressions.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-git-guardrails-claude-code
hedysom
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-request-refactor-plan
hedysom
Create a detailed refactor plan with tiny commits via user interview, then file it as a GitHub issue.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-setup-matt-pocock-skills
hedysom
Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local…
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-caveman
hedysom
Ultra-compressed communication mode.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-grill-with-docs
hedysom
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as…
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-improve-codebase-architecture
hedysom
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-migrate-to-shoehorn
hedysom
Migrate test files from `as` type assertions to @total-typescript/shoehorn.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-qa
hedysom
Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Apr 28, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hedysom/pi-mattpocock-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from hedysom
- 0.474score
mattpocock-obsidian-vault
hedysom
Search, create, and manage notes in the Obsidian vault with wikilinks and index notes.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-scaffold-exercises
hedysom
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-setup-pre-commit
hedysom
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-diagnose
hedysom
Disciplined diagnosis loop for hard bugs and performance regressions.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-git-guardrails-claude-code
hedysom
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-design-an-interface
hedysom
Generate multiple radically different interface designs for a module using parallel sub-agents.
SkillCFreshness: CClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get mattpocock-ubiquitous-language running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
mattpocock-ubiquitous-language skill. Agent Mart. https://agentmart.dev/skills/hedysom-mattpocock-ubiquitous-language (last updated 2026-10-24)