Name it
Generate easy-to-pronounce names for products, companies, brands, tools, projects, or objects through a conversational and divergent process. Use when user asks for naming help or mentions naming, name this, help me name, brand name, or company name.From its SKILL.md
npx -y skills add ramosdiegocom/skills --skill name-itAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.7 KB, 267 tokens by cl100k_base, as published. Nobody here has run it
Interview the user for the purpose of generating a novel name for one thing. To find this novel name, you must search for existing words in the world's languages that capture the essence of what they're naming.
Ask questions one at a time to uncover what the thing is, the feeling the name should evoke, whether it should be abstract/brandable or descriptive, and any constraints such as amount of syllables, special characters, numbers, or non-english pronunciation preference.
Once enough context is acquired, conduct a linguistic search to identify esoteric words and unconventional ways to express the desired intent. You may use foreign languages and word combinations or modifications to come up with novel options. This search should prioritize finding actual words (not just roots) that capture the semantic essence of what they're naming.
Then run parallel subagents (no more than 4) to explore the linguistic directions. Each subagent focuses on one direction and returns up to 3 premium candidates that are easy to pronounce in the user's preferred language (default English) and comply with user constraints.
Return the resulting candidates with Name, Pronunciation, Origin, and Feeling so the user can compare not only sound but intent.
Then ask for directional feedback. In later rounds, include prior names and feedback in full context to prevent repetition and encourage more divergent options.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.