ubiquitous-language
Skill9 starsChanged 48 days agoApache-2.0View on GitHub
Builds a project glossary that maps everyday wording to canonical terms, repository actions, and reusable engineering rules. Use when a user asks "what does X mean here?", "define our terms", "standardize this naming", "turn this phrase into a repo action", "grill the domain language", or whether a local correction should apply to similar code.
63 other projects use a version of this.
Adopted by
Most recently taken up by
- aegntic/compound-engineeringtheir own version, first seen Nov 8, 2026
- chrislacey89/skillstheir own version, first seen Nov 4, 2026
- Boom-Vitt/skills-thaitheir own version, first seen Nov 1, 2026
- kishan-ict/skillstheir own version, first seen Nov 1, 2026
- Future-CX/AI-Architecture-Toolkittheir own version, first seen Nov 1, 2026
- hmjBill/skillstheir own version, first seen Oct 29, 2026
Used with
Projects with it also use request-refactor-plan, edit-article and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
simo97Skillrequest-refactor-plan
Use this skill when user wants to create a refactor plan.
Also in 40 projects that use this
simo97Skilledit-article
The user will invoke this skill to help them edit an article.
Also in 34 projects that use this
AnasX7Skillscaffold-exercises
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Also in 29 projects that use this
HK-hubSkillprd-to-plan
Turn a PRD into a multi-phase implementation plan using tracer-bullet vertical slices, saved as a local Markdown file in ./plans/. Use when user wants to break down a PRD, create an implementation plan, plan phases from a PRD, or mentions "tracer bullets".
Also in 9 projects that use this
boyingliu01Skillbatch-grill-me
A relentless interview that asks every frontier question at once, round by round. Thin alias of `grilling` (#540) — upstream mattpocock/skills absorbed this protocol into grilling; XP-Gate keeps this name as the sprint-flow Phase 2 entry point so orchestration docs stay stable.
Also in 5 projects that use this
AnasX7Skillsetup-pre-commit
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
Also in 37 projects that use this
- +4 more from simo97
Other versions63 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 63
- karlomikus/bar-assistant★ 1.1ksame name
- amazingloft999-droid/mattpocock-skills★ 422same name
- InditexTech/weavejs★ 266same name
- loulanyue/skills★ 231same name
- ayoubben18/ab-method★ 192same name
- CodeAlive-AI/ai-driven-development★ 169same name
- aurorasoft2/Matt_Pocock_Skills★ 133same name
- VisualxIntelligence/mattpocok-skills★ 55same name
- jan-bogaerts/md2★ 42same name
- metrogg/AgentHub★ 19same name
53 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository93 other files it gives its agents.
- AGENTS.mdAGENTS.md
- artifacts/AGENTS.mdAGENTS.md
- Docs/AGENTS.mdAGENTS.md
- Infrastructure/AGENTS.mdAGENTS.md
- logs/AGENTS.mdAGENTS.md
- Plugins/AGENTS.mdAGENTS.md
- Skills/AGENTS.mdAGENTS.md
- skills-system/AGENTS.mdAGENTS.md
- Wiki/AGENTS.mdAGENTS.md
- SKILL.mdSkill
- agents-mdSkill
- alignment-checkpointSkill
- autofixSkill
- autoresearchSkill
- autoreviewSkill
- bash-hygieneSkill
- biome-lintingSkill
- bootstrapSkill
- code-fixes-triageSkill
- codex-agent-creatorSkill
- codex-automation-architectSkill
- codex-environment-creatorSkill
- codex-hooks-builderSkill
- codex-reviewSkill
- coding-harnessSkill
- context7Skill
- decide-build-primitiveSkill
- diagram-cliSkill
- elixir-proSkill
- evals-routerSkill
- fix-miseSkill
- frontend-designSkill
- goal-governorSkill
- goSkill
- improve-agent-nativeSkill
- improve-codebase-architectureSkill
- insight-reportSkill
- javascript-proSkill
- keep-codex-fastSkill
- npm-releaseSkill
- pnpm-managerSkill
- prek-proSkill
- pr-green-sweepSkill
- production-deploymentSkill
- project-brainSkill
- rust-proSkill
- sdk-scenario-generatorSkill
- session-workflow-minerSkill
- simplifySkill
- skill-pr-deliverySkill
- technical-writerSkill
- testingSkill
- tomlSkill
- triageSkill
- typescriptSkill
- unslopifySkill
- user-documentationSkill
- uv-python-project-setupSkill
- valeSkill
- verification-before-completionSkill
- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
25 rules. 0 are common, 23 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 59 edited versions we read keep these.
23
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Create or update a project vocabulary so users, domain experts, and agents mean the same thing without forcing the user to know specialist …
- Distinctive: line 24
Read any existing glossary first and preserve intentional choices.
- Distinctive: line 26
When the input is corrective feedback, run Corrective Feedback Mode before choosing scope.
- Distinctive: line 28
Write or update the active ubiquitous-language file.
- Distinctive: line 29
Add a concise pointer in the nearest active agent instruction surface.
- Distinctive: line 34
Use this mode when the user corrects a specific line, function, file, command, API, workflow, or implementation detail and the correction …
- Distinctive: line 38
Treat the visible example as evidence, not as the presumed scope boundary.
- Distinctive: line 41
Run a bounded Pattern Sweep across structurally similar implementations, glossary entries, prompt translations, validators, schemas, tests, …
- Distinctive: line 89
Use this mode when the user asks to be grilled, challenged, interviewed deeply, or stress-tested against the project domain model.
- Very specific: line 95
Use the output template for new single-context or multi-context glossaries.
- Distinctive: line 104
Keep definitions tight: one or two sentences, defining what the term is rather than what it does.
- Distinctive: line 108
Write an example dialogue between a developer and a domain expert that demonstrates how terms interact and clarifies boundaries between …
- Distinctive: line 113
Do not copy raw private transcripts, secrets, tokens, or unnecessary personal data.
- Distinctive: line 114
Do not overwrite an existing glossary wholesale.
- Distinctive: line 115
Ask before finalizing a material policy or scope decision that cannot be inferred.
- Distinctive: line 120
Read only the current conversation, active instruction files, existing ubiquitous-language files, and directly relevant project docs unless …
- Distinctive: line 121
Write only the active ubiquitous-language file, context map, and the smallest necessary agent-instruction pointer.
- Distinctive: line 122
Do not run network commands, publish artifacts, change runtime projections, or edit unrelated docs for a terminology-only update.
- Distinctive: line 123
Do not infer domain authority from generic code symbols.
- Distinctive: line 124
Do not use this skill for ordinary symbol renaming, generic copyediting, or broad documentation rewrites without reusable terminology.
- Very specific: line 125
Do not create ADRs, Linear notes, .harness/decisions/, or architecture artifacts from this skill.
- Distinctive: line 131
If the scope, source glossary, or authority for a terminology change is unclear, stop with one missing input rather than rewriting …
- Distinctive: line 147
Never drop required context for brevity.
- Distinctive: line 156
Use this skill when a named concept, boundary, or domain term is ambiguous across source, tests, interfaces, or operator language and a …
- Distinctive: line 164
Do not turn one naming preference into a global rule without an independent pattern sweep.
“Common” is measured: kept by at least 6 in 10 of the 59 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Ubiquitous Language
Create or update a project vocabulary so users, domain experts, and agents mean the same thing without forcing the user to know specialist terms.
Outputs
Produce canonical terms, aliases, relationships, ambiguities, sources, and
prompt translations. When corrective feedback is the source, also produce its
intent radius, generalized rule, pattern sweep, dispositions, and enforcement
handoff. Use schema_version: 1 when automation consumes the output.
Workflow
- Determine scope and output path.
- Resolve the active glossary with the output-format routing; ask only when multiple contexts remain ambiguous.
- Read any existing glossary first and preserve intentional choices.
- Extract domain nouns, workflow verbs, actor names, lifecycle states, aliases, and overloaded phrases.
- When the input is corrective feedback, run Corrective Feedback Mode before choosing scope.
- Choose canonical terms that improve execution; keep natural-language aliases when useful.
- Write or update the active ubiquitous-language file.
- Add a concise pointer in the nearest active agent instruction surface.
- Report the highest-value terms, prompt translations, sources, pattern-sweep dispositions, enforcement handoffs, and skipped evidence.
Corrective Feedback Mode
Use this mode when the user corrects a specific line, function, file, command, API, workflow, or implementation detail and the correction may express wider engineering intent.
- Treat the visible example as evidence, not as the presumed scope boundary.
- Classify the Feedback Intent Radius as
line,function,file,package,repository,architecture_rule, ordurable_memory. - Run a bounded Pattern Sweep across structurally similar implementations, glossary entries, prompt translations, validators, schemas, tests, and policy surfaces. Do not equate textual similarity with equivalent semantics.
- State the Generalized Feedback Rule without the incidental identifier, path, function, error, or example that exposed it.
- Give every relevant sibling a Similar-Case Disposition: align now, different semantics, defer with reason, or not applicable.
- Decide whether language alone is sufficient. When recurrence needs mechanical prevention, route the rule to the owning validator, lint rule, schema, reusable abstraction, shared utility, repository convention, style rule, CI check, or architecture policy.
- Preserve authority boundaries. Systemic intent justifies broader inspection, not unrelated or cross-repository mutation; record or hand off out-of-scope enforcement work explicitly.
Worked Corrective-Feedback Output
Input: "This parser fix is not doing what I want; do not patch only this function."
Feedback Intent Radius: repository
Generalized Feedback Rule: Parse failures use typed results; callers never infer failure from missing values.
Pattern Sweep: parsers/** and their direct callers
Similar-Case Dispositions: 3 aligned now; 1 different semantics; 1 deferred to another owner
Enforcement: schema constraint plus parser-contract regression testWorked Glossary Output
Input: "What does 'make it available' mean in this repository?"
**Installed Runtime Copy**:
The selected checked package version installed through the authorised runtime route.
_Avoid_: copied source, approval inferred from a holding directory
## Prompt Translations
| User phrase | Canonical action |
| --- | --- |
| "make it available" | Resolve the active repository's installation policy and authority. For this lifecycle, select the SDK-checked private Tessl version or verified OpenAI-provider exemption, then prove installed identity and discovery. Report a missing route rather than defaulting to workspace or user sync. |This is a translation, not authority to install, relink or change runtime files. Recheck the active repository's glossary before reusing an example elsewhere.
Domain Grill Mode
Use this mode when the user asks to be grilled, challenged, interviewed deeply, or stress-tested against the project domain model. Follow the focused domain-grill procedure.
Output Format
Use the output template for new single-context or
multi-context glossaries. Preserve UBIQUITOUS_LANGUAGE.md when an existing
repository contract consumes that filename. Translate external CONTEXT.md
wording to the active local glossary surface before writing.
Term Rules
- Be opinionated. When multiple words exist for the same concept, pick one canonical term and list the others as aliases to avoid.
- Flag conflicts explicitly. If a term is ambiguous, add it to
Flagged Ambiguitieswith a clear resolution. - Keep definitions tight: one or two sentences, defining what the term is rather than what it does.
- Show relationships. Use bold term names and express cardinality where obvious.
- Include only concepts specific to this project's context. General programming concepts do not belong just because the project uses them.
- Group terms under subheadings when natural clusters emerge. Use a flat list when all terms belong to one cohesive area.
- Write an example dialogue between a developer and a domain expert that demonstrates how terms interact and clarifies boundaries between related concepts.
- Preserve the principle behind corrective feedback independently of the local example that revealed it.
Safety
- Do not copy raw private transcripts, secrets, tokens, or unnecessary personal data.
- Do not overwrite an existing glossary wholesale.
- Ask before finalizing a material policy or scope decision that cannot be inferred.
- Mark low-confidence terminology choices.
Execution Boundaries
- Read only the current conversation, active instruction files, existing ubiquitous-language files, and directly relevant project docs unless the user asks for history-backed vocabulary.
- Write only the active ubiquitous-language file, context map, and the smallest necessary agent-instruction pointer.
- Do not run network commands, publish artifacts, change runtime projections, or edit unrelated docs for a terminology-only update.
- Do not infer domain authority from generic code symbols; require project-specific source evidence or user wording before adding a term.
- Do not use this skill for ordinary symbol renaming, generic copyediting, or broad documentation rewrites without reusable terminology.
- Do not create ADRs, Linear notes,
.harness/decisions/**, or architecture artifacts from this skill. Hand off to the repo's decision-record or architecture workflow after the terminology question is resolved.
Failure Mode
If the scope, source glossary, or authority for a terminology change is unclear, stop with one missing input rather than rewriting vocabulary by guesswork.
Validation
Confirm the active glossary exists, every canonical term has a one- or two-sentence definition, aliases to avoid are listed for terms with competing names, flagged ambiguities include a resolution, prompt translations include at least one user phrase when informal wording exists, and the agent instruction pointer references the active ubiquitous-language file. For corrective feedback, also confirm the intent radius, generalized rule, searched scope, similar-case dispositions, and enforcement decision are explicit; a local-only result must be supported by the pattern sweep rather than assumed from the named example. Fail fast: stop at the first failed gate and do not proceed until the blocker is fixed.
References
Never drop required context for brevity; move it into references or deferred context and link it here.
- Local contract, evals, and task profile:
references/ - Output template: references/output-format.md
- Domain-grill procedure: references/domain-grill.md
- Archived long-form workflow:
Infrastructure/references/deferred-skill-context/agent-ops-ubiquitous-language/
When to use
Use this skill when a named concept, boundary, or domain term is ambiguous across source, tests, interfaces, or operator language and a governed vocabulary decision is required.
Required Inputs
Provide the target repository or product surface, the terminology under review, authoritative sources where available, and the intended consumer of the resulting vocabulary decision.
Gotchas
Do not turn one naming preference into a global rule without an independent pattern sweep. Keep generated text, retrospective evidence, and user terminology distinct from canonical domain authority, and stop when ownership or approval is missing.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

