glossary

name	glossary
description	Project glossary for consistent domain terminology. Invoke whenever task involves creating, updating, or referencing a glossary, defining domain terms, establishing ubiquitous language, or when inconsistent naming causes confusion in code or planning artifacts.

Glossary

A glossary prevents naming drift on the small set of terms where drift is likely. It is not a project dictionary — not every domain concept belongs. The highest-leverage element of each entry is the rationale on the Avoid line: what plausible-but-wrong name would a reviewer or agent reach for, and why is it a trap? Without that rationale, the entry teaches nothing.

LLMs are amplifiers — give them a clear vocabulary and they generate coherent structure; give them a codebase where the same concept has four names, and they'll invent a fifth. The glossary makes the choice for them.

A glossary's real failure mode is disuse. If it isn't the document a reviewer reaches for during naming disagreements, no amount of format polish saves it. Every rule below — the trap test, rationale-bearing Avoid lines, the CLAUDE.md pointer — exists to make the glossary worth opening.

Scope

Decide how many glossaries the project needs:

• Single glossary — one domain, one team, no terms with double meanings across the codebase.
• Per-bounded-context — the same word means different things in different parts of the system (e.g., Order in billing vs fulfillment). In DDD terms, each bounded context speaks its own dialect of the ubiquitous language; one glossary per dialect. Create one file per context; name each context explicitly.

Context map (multiple contexts only)

A per-context glossary defines terms within its dialect, but the relationships between contexts — which context emits an event another consumes, which value types they share — live in no single glossary. When a project has several context glossaries, an optional docs/ubiquitous-language/context-map.md names each context with a one-line purpose and the directional flows between them:

## Contexts

- **Ordering** — places and tracks customer orders.
- **Fulfillment** — picks, packs, ships.

## Relationships

- Ordering emits `OrderPlaced`; Fulfillment consumes it.
- Ordering and Billing share `CustomerId` and `Money`.

Add it only when multiple contexts genuinely exist and the cross-talk is not obvious from the names. It is prose, not a table, and it complements — does not replace — a context-map diagram (see the diagramming skill).

Selecting Terms — the trap test

For each candidate term, apply the trap test: would a reviewer or agent plausibly reach for a wrong name here? If the only name anyone would use is the canonical one, omit the entry. The glossary's job is naming-drift prevention, not domain documentation.

Where to look — discovery is evidence-driven, not enumeration-driven:

• Naming disagreements in this conversation or recent code review.
• Mismatches between code identifiers and how the team speaks ("we call it the sync worker; the code says gerrit-events-consumer").
• Library or SDK terms that bleed into local code with a different meaning (third-party Job vs project Task).
• Words used for two distinct concepts in the same discussion (live overload).
• Discovery or alignment artifacts (when invoked inside the DRAFT pipeline).
• Postmortems or incident reports mentioning "we thought X meant Y" or "the rename caused…".

"Find every entity, event, and value object" reliably produces overcollection — most candidates won't pass the trap test anyway. Start from evidence of confusion, then filter.

Worth including:

• Terms with multiple plausible names where the wrong one is genuinely tempting.
• Canonical names that conflict with a stronger natural name — the system says Source, but everyone says Gerrit.
• Concepts that look like another concept — the system's Re-release reads as Retry to anyone not steeped in it.
• Overloaded primitives — a single event type routed to two different domain buckets, where the routing logic is non-obvious from the name.
• Aliases that exist in upstream APIs or libraries and bleed into local code (e.g., a third-party SDK calls it Job, the project calls it Task).

Worth omitting:

• Terms with one obvious name and no synonym pressure — no plausible wrong name → no trap → no entry.
• Implementation details — config field names, struct names, internal helpers. These belong in code documentation, not the glossary.
• External services with one canonical name in the company.
• Generic programming concepts (array, function, endpoint) unless they have a project-specific meaning.

The selectivity rule is load-bearing. A glossary that lists everything trains the next pass to add more "for completeness," and the bloat compounds. Restraint at creation defends against bloat at maintenance.

Required intro paragraph

Every glossary opens with a 2–3 sentence scope statement. This deflects "why isn't X here?" from readers and calibrates the Avoid criterion for downstream consumers:

# [Project] Glossary

Project vocabulary. Only entries with a real risk of being mis-named are listed; everything else is in
[CLAUDE.md](../CLAUDE.md). For each term, **Avoid** lists the synonyms that are realistic naming traps — names a
reviewer or agent would plausibly reach for and get wrong.

The intro is not boilerplate — it is the contract between the glossary and its readers. Adapt the wording to the project, but keep the two contractual statements: (1) the selectivity criterion, and (2) what Avoid means.

Per-entry format

### TermName

1–3 sentences defining what the term **is**, not what it does. Carry nuance — three kinds, four phases, an "and not"
clarification. No need to compress to one line.
**Avoid:** WrongName₁ (one-phrase rationale — what trap this name sets); WrongName₂ (rationale).

Definition rules:

• Define what it is, not what it does. "An aggregated bucket of atomic events for a (source, chat, project, actor) tuple" — not "the thing created when events are aggregated."
• Carry the nuance a one-liner would lose. Multi-clause definitions are fine; the heading format is chosen for exactly this.
• Do not list "see also" or "related terms" inline. They produce a low-value reference web. If cardinality matters, use the optional Relationships section.

Avoid rules:

• Each entry on the Avoid line must carry rationale in parentheses. Bare synonym lists ("Purchase, Transaction, Sale") rarely teach — the reader still doesn't know which trap is worth worrying about. With rationale ("Retry — implies error recovery, which this is not"), the entry becomes a calibration anchor.
• If a term has no realistic naming trap (no candidate Avoid entries), question whether the term belongs in the glossary at all. Most "no-trap" entries should be deleted, not entered without Avoid.

Optional sections

Include only when the project genuinely benefits. Each one earns its place; don't bolt them on by default.

Grouping by subdomain

When entries cluster naturally — Pipeline Concepts, Subscription Model, External Boundaries — use H2 headings to group them. A flat list works for small glossaries. Don't force groupings on five entries.

Flagged ambiguities

When the conversation or codebase actually uses one word for two concepts, call it out:

## Flagged ambiguities

- "Account" is used in code for both **Customer** (places orders) and **User** (auth identity). These are distinct
  concepts; new code should not introduce `Account` without a disambiguating suffix.

Include only when a live conflict exists. Do not add an empty section as a placeholder.

Relationships

For terms with non-obvious cardinality:

## Relationships

- An **Invoice** belongs to exactly one **Customer**.
- A single **Order** can produce many **Invoices** — one per **Shipment**.

Narrative sentences, not a column. Skip when relationships are obvious from the entries themselves.

Example usage

A short dialogue or 2–4 sentence narrative showing terms in natural use. Calibrates the register and exposes boundary cases the definitions missed — especially useful when two concepts could plausibly be confused:

## Example usage

> **Reviewer:** Why is this job re-released on every loop?
> **Author:** That's the **aggregation gate**. **Re-release** is the mechanism — not a retry. The bucket stays open
> while the gate says new events are still arriving.
> **Reviewer:** So flush only happens after `MaxAccumulationTime`?
> **Author:** Or after `ReReleaseInterval` of silence — both conditions matter.

Placement

• Single glossary: docs/glossary.md or docs/ubiquitous-language/glossary.md
• Per-context: docs/ubiquitous-language/{context}-glossary.md (e.g., billing-glossary.md)
• Context map (multiple contexts): docs/ubiquitous-language/context-map.md
• Reference from CLAUDE.md early — primacy attention reduces naming violations significantly. Do not inline the glossary in CLAUDE.md; use progressive disclosure:

## Domain Vocabulary

See `docs/glossary.md` for project terminology and prohibited aliases.

Referencing a glossary

When applying terminology (not creating or updating):

1. Locate the glossary — check docs/glossary.md, docs/ubiquitous-language/, or ask the user.
2. Read it and find the relevant term(s).
3. Use the canonical name; actively avoid the listed Avoid entries.
4. If the concept isn't in the glossary, run the trap test before adding it. Not every absent term belongs. Most project nouns are not naming traps and should stay out.

Updating a glossary

Maintenance is event-driven, not scheduled:

• Naming mistake — yours, the model's, or a reviewer's: add or update the term immediately. The mistake is both the trigger and the source of the Avoid rationale — write down which name was reached for, and why it's wrong.
• New domain concept emerges: add during discovery or alignment, but only if it passes the trap test.
• Meaning shifts: update the definition in place. Don't keep a changelog — the glossary is current truth.
• Term renamed but legacy code still uses the old name: keep the entry; add **Deprecated:** prefer [NewName] — [one-phrase reason] at the top of the definition. Delete the entry once the codebase is clean. This is the one acceptable exception to the no-changelog rule — the marker is operational, not historical.
• Entry has no live trap anymore: delete it. Stale "obvious" entries normalize bloat and dilute the signal of the remaining entries.

Edit in place. The glossary is single source of truth, not a versioned document.

Re-running

When invoked again on the same project:

1. Read the existing glossary file in full.
2. Incorporate new terms surfaced since last invocation.
3. Update definitions whose understanding has evolved.
4. Re-flag any new ambiguities; remove ambiguities that have been resolved.
5. Delete entries that no longer pass the trap test.

A re-run is not an append. It is a re-derivation that may shrink the glossary as well as grow it.

Rules

• Heading per term, never tables. Tables collapse multi-line definitions and rationale-bearing Avoid lines. Each entry is independent; KV/heading is the right primitive.
• Trap test before inclusion. If no plausible-but-wrong name exists, the entry doesn't exist.
• Avoid lines carry rationale. Synonyms without "why it's a trap" rarely teach.
• Required intro paragraph. Every glossary states its selectivity contract up front.
• Separate file, not inline. Lives in the project filesystem; humans and agents reference the same file.
• One glossary per bounded context. Same word, different meanings → split into separate files.
• Living artifact, not a changelog. Edit in place. Delete entries that stop earning their place.
• Consumable by humans and agents. Markdown headings + prose work in any editor and parser. Avoid YAML/JSON unless the project needs machine parsing.

Worked example

A well-formed glossary fragment for a Gerrit-event → chat-message notifier:

# Notifier Glossary

Project vocabulary. Only entries with a real risk of being mis-named are listed; everything else is in
[CLAUDE.md](../CLAUDE.md). For each term, **Avoid** lists the synonyms that are realistic naming traps.

## Pipeline Concepts

### Source

A _named_ Gerrit instance — the key under `gerrit.sources` in config. Embedded in the webhook URL and in every cache
key. Multi-tenant isolation is load-bearing: never collapse this axis because "we only have one Gerrit."
**Avoid:** Gerrit (ambiguous with the product — the _instance_ is one of potentially many); Backend (suggests a
storage/persistence layer it isn't).

### Atomic Event

A single Gerrit webhook event carried as one queue job. Lives only long enough to be parsed, matched to subscribers,
and pushed into a Logical Event cache. The atomic/logical split is not optional — collapsing them collapses the
aggregation window.
**Avoid:** Raw event (sounds like an unparsed payload — but it's already parsed); Gerrit event (Gerrit emits many
event _types_; "atomic" names the unit, not the source).

### Re-release

Returning a beanstalkd job to its tube so it is reserved again later. In this project it is the **normal aggregation
mechanism**, not an error path — atomic-job re-releases enforce the per-job delay cycle; logical-job re-releases keep
the bucket open.
**Avoid:** Retry (implies error recovery — the most common and most damaging misnomer here); Requeue (suggests a
separate queue when it's the same tube).
```

Notice what is not in this fragment: MultiClient, EventSampler, BeanstalkJobDelay, Workbench. They are config or implementation details documented in code and have no plausible-wrong name. They fail the trap test.

Related Skills

• discovery — loads this glossary at the start so questions are framed in the project's language; surfaces term conflicts in Phase 1 and lists flagged ambiguities in the brief. Discovery never updates the glossary itself.
• alignment — creates this glossary on the first iteration (when none exists); updates it on subsequent iterations to resolve ambiguities discovery flagged and add new entries that pass the trap test. Glossary maintenance happens here, not in discovery.
• diagramming — domain models and context maps complement the glossary visually.