Template:2020s-mil-sf-novel-stub
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Template documentation- 2020s-mil-sf-novel-stub
- Mil-sf-novel-stub
- Sf-novel-stub
- Novel-stub
- Stub
About this template
This template is used to identify a stub about a 2020s military science fiction novel. It uses {{asbox}}, which is a meta-template designed to ease the process of creating and maintaining stub templates.
Usage
Typing {{2020s-mil-sf-novel-stub}} produces the message shown at the beginning, and adds the article to the following categories:
- Category:2020s novel stubs (population: 213)
- Category:Military science fiction novel stubs (population: 82)
General information
This is a stub template. A brief explanation of these templates follows; for full details please consult Wikipedia:Stub.
What is a stub?[edit]
A stub is an article containing only a few sentences of text which is too short to provide encyclopedic coverage of a subject.
How is a stub identified?[edit]
- If possible, try to find the most appropriate stub template for the article. A full list can be found at Wikipedia:WikiProject Stub sorting/List of stubs.
- More than one stub template may be used, if necessary, though no more than four should be used on any article.
- Place a stub template at the very end of the article, after the "External links" section, any navigation templates, and the category tags. As usual, templates are added by including their name inside double braces, e.g.
{{stub}}.
Further information[edit]
Further information can be found at:
New stub templates and categories (collectively "stub types") should not be created without prior proposal at Wikipedia:WikiProject Stub sorting/Proposals. This allows for the proper coordination of all stub types across Wikipedia, and for the checking of any new stub type for possible problems prior to its creation.
See also[edit]
- Template:Empty section – To flag an empty section as a stub section
- Template:Expand section – To flag sections selectively as incomplete
- Template:Data missing – To flag missing information or other data
- Wikipedia:Content assessment