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App Namer

Community
chendongqi
app-namer

Generate creative, memorable, and appropriate names for software applications, products, and services. Use when users need to name their app, software, product, or service. Considers functionality, target audience, brand positioning, cultural factors, and language requirements. Supports naming in any language specified by the user.

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill nameapp-namer
Stars
133
Forks
25
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by chendongqi on GitHub. Read the source before you install it.

Installation

Install the App Namer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/chendongqi/OPB-Skills/tree/main/skills/content-app-namer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/content-app-namer .claude/skills/app-namer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable App Namer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads App Namer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so App Namer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

App Namer

Overview

Generate memorable, appropriate, and marketable names for software applications. This skill provides structured naming suggestions that consider functionality, target audience, brand positioning, and cultural factors.

Naming Workflow

Follow this workflow when generating application names:

1. Gather Information

Collect key information from the user's request:

  • Functionality: What does the software do? Core features?
  • Target Audience: Who will use it? Age group, profession, technical level?
  • Positioning: Market position, competitors, unique value proposition
  • Language: Which language(s) for the name? (Default: user's conversation language)
  • Brand Tone: Professional, playful, technical, friendly, innovative, trustworthy?
  • Constraints: Any specific requirements? Length, keywords to include/avoid?
  • Quantity: How many suggestions? (Default: 10)

If critical information is missing, ask the user before proceeding.

2. Generate Candidate Names

Create diverse candidates across different naming types:

Naming Types:

  1. Descriptive (功能描述型)

    • Clearly describes what the app does
    • Example: TaskMaster, CodeReview, HealthTracker
    • Best for: Professional tools, B2B software
  2. Metaphorical (隐喻型)

    • Uses metaphor or imagery to convey meaning
    • Example: Compass (navigation app), Nest (home app), Phoenix (recovery tool)
    • Best for: Consumer apps, lifestyle products
  3. Invented/Coined (创造型)

    • New words that are catchy and unique
    • Example: Spotify, Pinterest, Snapchat
    • Best for: Consumer brands wanting strong identity
  4. Compound (组合型)

    • Combines two words or concepts
    • Example: Facebook, WhatsApp, LinkedIn, 知乎, 钉钉
    • Best for: Tech products, social platforms
  5. Abbreviated (缩写型)

    • Acronyms or shortened forms
    • Example: npm, AWS, JIRA
    • Best for: Technical tools, enterprise software
  6. Personal/Name-based (人名型)

    • Based on founders or characters
    • Example: Adobe, Mercedes, 小红书
    • Best for: Premium brands, storytelling brands
  7. Action-oriented (动作型)

    • Verb-based or action-focused
    • Example: Slack, Zoom, Run, 飞书
    • Best for: Productivity tools, active engagement apps

Generate a diverse mix unless user specifies preferred types.

3. Evaluate Each Name

For each candidate, assess:

  • Memorability: Easy to remember?
  • Pronounceability: Easy to say in target language(s)?
  • Meaning: Clear connection to purpose? Positive associations?
  • Uniqueness: Stands out from competitors?
  • Domain Availability: Likely available as .com/.cn/.app domain?
  • Trademark: Low risk of conflicts? (general assessment, not legal advice)
  • Cultural Sensitivity: Appropriate across cultures? No negative meanings?
  • Scalability: Works if product expands beyond initial scope?

4. Format Output

Present names in this structure:

## [Language] 软件命名建议

### 1. [Name] ([Naming Type])
**含义**: [What it means/represents]
**优势**: [2-3 key strengths]
**域名建议**: [suggested domains like name.com, name.app]
**适用场景**: [Why it fits this particular software]

### 2. [Name] ([Naming Type])
...

Evaluation Criteria

Prioritize these qualities (adjust based on user needs):

  1. Clarity: Name clearly relates to software purpose
  2. Simplicity: Easy to spell, remember, and share
  3. Uniqueness: Distinctive in the market
  4. Positive Associations: Evokes appropriate emotions/imagery
  5. Versatility: Works across platforms (app stores, domains, social media)
  6. Longevity: Won't feel dated quickly

Language-Specific Considerations

Chinese Names (中文命名)

  • Consider tones and pronunciation flow
  • Check for unintended homophone meanings
  • Balance modern feel with cultural resonance
  • Consider both simplified and traditional characters
  • Think about English transliteration (pinyin) for international use

English Names

  • Check phonetic clarity across accents
  • Avoid words that are hard to spell phonetically
  • Consider global English speakers (avoid idioms/slang)
  • Check for negative meanings in other languages

Other Languages

  • Verify pronunciation by native speakers
  • Check cultural appropriateness
  • Consider script/alphabet compatibility with tech platforms
  • Evaluate translation/transcription to English if needed

Special Considerations

Domain & Trademark

  • Note if common domains (.com/.cn/.app) are likely available
  • Mention if name is generic (harder to trademark)
  • Warn about potential conflicts with known brands
  • Suggest alternatives if preferred domains unavailable

User Requirements Override Defaults

If user specifies requirements that conflict with defaults:

  • Follow user requirements
  • Acknowledge the deviation: "Note: Generating [X] names as requested, instead of default 10"
  • Adjust evaluation criteria to match user priorities

Output Guidelines

Default Output:

  • 10 diverse candidates covering multiple naming types
  • Each with explanation, advantages, and domain suggestions
  • Ranked by overall fit and quality

Custom Output:

  • If user specifies quantity: provide that exact number
  • If user specifies preferred types: focus on those types
  • If user specifies other constraints: prioritize accordingly

Always:

  • Explain reasoning behind each suggestion
  • Be honest about trade-offs (e.g., "highly unique but may need explanation")
  • Provide actionable next steps (e.g., "check domain availability at...")

Frequently asked questions

What does the App Namer AI skill do?

Generate creative, memorable, and appropriate names for software applications, products, and services. Use when users need to name their app, software, product, or service. Considers functionality, target audience, brand positioning, cultural factors, and language requirements. Supports naming in any language specified by the user.

Why use App Namer on TypingMind?

Because you install it once and use it with any model. App Namer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install App Namer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/content-app-namer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use App Namer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with App Namer?

As many as you like. As long as a model supports skills, you can use App Namer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the App Namer AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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