glossary-builder
Skill2 starsChanged 4 months agoApache-2.0View on GitHub
Extracts technical terms and creates a consistent glossary with definitions, product-specific meanings, examples, common confusions, and related terms.
In this repository11 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- audience-alignmentSkill
- document-architectureSkill
- examples-and-edge-casesSkill
- knowledge-mappingSkill
- output-formatsSkill
- product-discoverySkill
- publishingSkill
- section-writerSkill
- technical-documentation-frameworkSkill
- technical-reviewSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Create a controlled vocabulary for the documentation.
- Distinctive: line 63
Keep product-specific technical names unchanged.
- Distinctive: line 94
If the final documentation uses a technical term that is not commonly understood by the target audience, it must appear in the glossary.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Glossary Builder Skill
Purpose
Create a controlled vocabulary for the documentation.
Technical documentation becomes confusing when the same concept is described with multiple names or when important concepts are used without definition.
Term sources
Extract terms from:
- User-provided product description
- Existing product names
- Feature names
- Component names
- API names
- SDK classes or methods
- Configuration keys
- Error messages
- Domain concepts
- Architecture notes
- Security controls
- Operational processes
Output format
# Glossary
### Term
**Short definition:**
...
**Detailed explanation:**
...
**Meaning in this product:**
...
**Example:**
...
**Common confusion:**
...
**Related terms:**
...Required behavior
- Identify all important terms.
- Choose one preferred name for each concept.
- List aliases only inside the glossary.
- Explain terms in the selected documentation language.
- Keep product-specific technical names unchanged.
- Distinguish similar terms carefully.
Domain starting points
Term candidates come from the product first; domain lists only prime the search. rules/terminology-rules.md carries two profiles — one for APIs/SaaS/integration products, one for AI-agent products — and a worked non-AI glossary lives in examples/sample-output-signalhop/glossary.md.
For AI-agent products specifically, these recur:
- Agent
- Tool
- Skill
- Brain
- Memory
- Short-term Memory
- Long-term Memory
- Guardrail
- Orchestration
- Runtime
- Workflow
- Connector
- Adapter
- Trace
- Evaluation
- Human-in-the-loop
- Policy
- Context
- State
Quality rule
If the final documentation uses a technical term that is not commonly understood by the target audience, it must appear in the glossary.
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.

