glossary
Skill41 starsChanged 7 months agoMITView on GitHub
Build or update a CONTEXT.md domain glossary for the current project. Establishes shared vocabulary with term definitions, avoid-aliases, and relationships so agents use consistent, concise language. This skill should be used when starting a new project, when domain terminology is inconsistent across sessions, when the user says "build a glossary", "define our terms", "shared vocabulary", or "domain language", or when an existing CONTEXT.md needs updating after new domain concepts emerge.
We split this skill into the rules it gives an agent
8 rules. 0 are common, 3 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
If no CONTEXT.md exists at the project root, run an elicitation session to discover domain terms:
- Distinctive: line 17
Ask about ambiguities: "Is [term] the same as [similar term], or are they distinct?" Surface these early because unresolved synonyms are …
- Very specific: line 18
Write CONTEXT.md following the format in references/context-format.md.
- Very specific: line 22
If CONTEXT.md already exists, read it first.
- Distinctive: line 25
Check whether it fits an existing term (update the definition) or is genuinely new (add it).
- Distinctive: line 26
If the new concept conflicts with an existing term, add it to "Flagged ambiguities" with a clear resolution.
- Very specific: line 31
When exploring or modifying code in a project that has a CONTEXT.md:
- Very specific: line 33
Read CONTEXT.md before starting work.
“Common” is measured: kept by at least 6 in 10 of the 14 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
Glossary — Domain Language Builder
Build or update a CONTEXT.md at the project root that captures the project's domain language. A shared vocabulary between user and agent reduces verbosity (agents stop using 20 words where 1 domain term suffices), enforces consistent naming in code, and prevents terminology drift across sessions.
Creating a new CONTEXT.md
If no CONTEXT.md exists at the project root, run an elicitation session to discover domain terms:
- Explore the codebase to identify domain-specific naming patterns—types, modules, key abstractions, recurring nouns in variable names and comments.
- Present findings to the user: "I found these domain concepts in the code: [list]. Which are worth defining? Are any named inconsistently?"
- For each confirmed term, resolve four fields: the canonical name, a one-sentence definition, aliases to avoid, and relationships to other terms. These four fields are the minimum needed for an agent to use the term correctly and consistently—fewer leads to ambiguity, more adds noise.
- Ask about ambiguities: "Is [term] the same as [similar term], or are they distinct?" Surface these early because unresolved synonyms are the primary source of naming inconsistency in agent-generated code.
- Write
CONTEXT.mdfollowing the format in references/context-format.md.
Updating an existing CONTEXT.md
If CONTEXT.md already exists, read it first. Then:
- Identify the new concept or ambiguity that triggered this invocation.
- Check whether it fits an existing term (update the definition) or is genuinely new (add it).
- If the new concept conflicts with an existing term, add it to "Flagged ambiguities" with a clear resolution.
- Preserve all existing content—append, don't rewrite. Rewriting destroys cross-session term provenance and risks silently dropping terms other sessions depend on.
Consuming CONTEXT.md during other work
When exploring or modifying code in a project that has a CONTEXT.md:
- Read
CONTEXT.mdbefore starting work. Use its terms exactly—not synonyms the glossary explicitly avoids. Consistent terminology reduces the cognitive translation cost between domain conversations and implementation. - Note any concepts needed for the current task that are missing from the glossary. Flag them as candidates for the next
/glossarysession. - Name variables, functions, types, and files using the glossary's vocabulary.
Other versions17 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 17
- chattocorp/chatto★ 2.8ksame name
- lightly-ai/lightly-studio★ 896same name
- genkovich/sdd★ 187same name
- intent-driven-dev/intent-driven-template★ 185same name
- aspi6246/Claude-Code-Skills-for-Academics★ 153same name
- TakaGoto/rag-learning-academy★ 24same name
- Azure/azure-functions-agents-runtime★ 13same name
- intent-driven-dev/skills★ 9same name
- AcKeskin/contexture★ 2same name
- mkreindel/seo-toolkit-template★ 1same name
7 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.
Used alongsideProjects with it also use review.
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.
SentrySkillreview
Fixture review skill.
Also in 3 projects that use this
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- The first 60 shown.
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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.

