brand-name-oracle
Use this skill when the user wants to forecast a brand name's success. Checks domain availability, social handles, trademarks, pronunciation, international meanings, similar companies, and AI perception prophecy.
When & Why to Use This Skill
The Brand Name Oracle skill is a comprehensive evaluation tool designed to forecast the success of potential brand, company, or product names. It automates multi-dimensional checks including domain and social media availability, trademark risk assessment, phonetic analysis, and international linguistic red flags. By utilizing parallel AI persona simulations, it provides deep insights into market perception and memorability, helping users make data-driven branding decisions and minimize naming risks.
Use Cases
- Startup Naming: Validating a new company name by simultaneously checking .com availability, social media handles, and potential trademark conflicts.
- International Market Expansion: Screening brand names for negative connotations or pronunciation issues across multiple languages like Mandarin, Spanish, and Arabic.
- Market Perception Testing: Using AI-driven persona subagents to simulate how different demographics (e.g., Gen Z students vs. veteran investors) react to a specific name.
- Competitive Analysis: Identifying phonetically or visually similar companies in the same industry to avoid brand confusion and legal risks.
| name | Brand Name Oracle |
|---|---|
| description | Use this skill when the user wants to forecast a brand name's success. Checks domain availability, social handles, trademarks, pronunciation, international meanings, similar companies, and AI perception prophecy. |
| version | 0.1.0 |
Brand Name Oracle Skill
Forecast brand name success comprehensively across multiple dimensions. This skill provides a structured approach to brand name prophecy.
When to Use
- User asks to forecast a potential brand/company/product name's success
- User wants to check if a name is "good" or "available"
- User is deciding between name options
- User wants oracle insight on a name they're considering
Forecasting Framework
For each brand name, forecast across these dimensions:
1. Domain Availability (Check these TLDs)
- .com (most important)
- .io (tech startups)
- .co (alternative)
- .ai (AI companies)
- .app (applications)
How to check: Run whois {name}.com etc. via Bash tool to check actual availability.
2. Social Handle Availability
- Twitter/X (@name)
- Instagram (@name)
- LinkedIn (company/name)
- TikTok (@name)
- GitHub (if tech company)
How to check: Use WebFetch to check if handles exist or are available.
3. Trademark Risk Assessment
- Search USPTO TESS database via WebSearch
- Check for similar marks in the same class
- Assess likelihood of confusion
Risk levels:
- Low: No similar marks found
- Medium: Similar marks exist but different industry
- High: Similar marks in same industry
4. Pronunciation Analysis
Score 1-10 based on:
- Number of syllables (fewer = better, 1-2 is ideal)
- Phonetic clarity (no ambiguous sounds)
- Spelling predictability (can people spell it from hearing it?)
- International pronounceability
5. International Check
Check for problematic meanings in:
- Spanish
- French
- German
- Mandarin
- Japanese
- Portuguese
- Arabic
Red flags: Profanity, negative connotations, embarrassing meanings
6. Similar Companies Check
Search for existing companies with similar names to identify confusion risk:
Check for:
- Phonetically similar names (sound alike when spoken)
- Visually similar names (look alike when written)
- Names with similar prefixes/suffixes
- Names in the same or adjacent industries
How to check: Use WebSearch to find companies with similar names. Consider:
- Direct competitors with similar names
- Well-known brands that could cause confusion
- Companies that might have trademark claims
Risk levels:
- Low: No similar companies found, or only in unrelated industries
- Medium: Similar names exist in adjacent industries
- High: Very similar names in same industry, or conflicts with well-known brands
7. AI Perception Analysis (Persona-Based)
IMPORTANT: Use the Task tool to spawn 5 persona subagents in parallel. Each persona evaluates the brand name from their perspective.
Launch these 5 agents simultaneously using the Task tool:
Persona 1: Sarah, 28, Software Engineer
- Tech-savvy millennial at a startup
- Values innovation and authenticity
Persona 2: Robert, 55, Small Business Owner
- Runs a local accounting firm
- Conservative, values trust and reliability
Persona 3: Maya, 34, Marketing Director
- Works at Fortune 500 company
- Expert in branding, very critical
Persona 4: James, 42, Investor
- VC partner evaluating startups
- Focuses on market positioning
Persona 5: Lisa, 22, College Student
- Gen Z, heavy social media user
- Cares about authenticity and social impact
For each persona, the agent should answer:
- "What does '{name}' make you think of?"
- "What industry would you guess this company is in?"
- "Would you trust a company with this name?" (yes/no)
- "Is this name memorable to you?" (yes/no)
- Brief overall impression (2-3 sentences)
Agent prompt template:
You are {Name}, a {age}-year-old {occupation}. {background}
Evaluate the brand name "{BRAND_NAME}" from your perspective.
Answer briefly:
1. What does this name make you think of?
2. What industry would you guess?
3. Would you trust this company? (yes/no + why)
4. Is it memorable? (yes/no + why)
5. Overall impression (2-3 sentences)
After all 5 agents complete, synthesize their responses:
- Aggregate common themes in what the name evokes
- List industries mentioned
- Calculate trust rate (X/5 would trust)
- Calculate memorability rate (X/5 find it memorable)
- Note any divergent opinions
Output Format
## Brand Evaluation: {NAME}
### Overall Score: {X}/100
### Domain Availability
| TLD | Status |
|-----|--------|
| .com | ✓ Available / ✗ Taken |
| .io | ✓ / ✗ |
| .co | ✓ / ✗ |
| .ai | ✓ / ✗ |
| .app | ✓ / ✗ |
### Social Handles
| Platform | Status |
|----------|--------|
| Twitter | ✓ / ✗ |
| Instagram | ✓ / ✗ |
| LinkedIn | ✓ / ✗ |
| TikTok | ✓ / ✗ |
| GitHub | ✓ / ✗ |
### Trademark Risk: {LOW/MEDIUM/HIGH}
{Brief explanation}
### Pronunciation Score: {X}/10
- Syllables: {N}
- Phonetic clarity: {assessment}
- Spelling predictability: {assessment}
### International Check
{Any issues found, or "No issues detected in major languages"}
### Similar Companies: {LOW/MEDIUM/HIGH} RISK
{List of similar companies found, if any}
- **CompanyName** (industry) - reason for similarity
### AI Perception Analysis (5 Personas)
**Trust Rate:** {X}/5 personas would trust this brand
**Memorability:** {X}/5 personas find it memorable
#### What This Name Evokes
{Synthesized themes from all personas}
#### Industry Associations
{List of industries mentioned by personas}
#### Individual Persona Responses
**Sarah (28, Software Engineer):** {brief response}
**Robert (55, Business Owner):** {brief response}
**Maya (34, Marketing Director):** {brief response}
**James (42, Investor):** {brief response}
**Lisa (22, Student):** {brief response}
### Mission Alignment (if provided)
Score: {X}/10
{Explanation of how well name fits mission}
### Recommendation
{Final assessment and any suggestions}
Scoring Guide
Calculate overall score as weighted average:
- Domain availability: 20% (50 pts for .com, 50 pts split among others)
- Social handles: 10% (equal weight per platform)
- Trademark risk: 20% (low=100, medium=50, high=10)
- Pronunciation: 15% (score * 10)
- International: 15% (100 - 20 per issue found)
- Similar companies: 20% (low=85, medium=60, high=20)
Example
User: "Evaluate the brand name 'Luminary' for an education technology company"
- Check domains via whois
- Check social handles via WebFetch
- Search USPTO via WebSearch
- Analyze pronunciation (4 syllables, easy spelling)
- Check international meanings
- Search for similar companies (e.g., Lumina, Illuminate, Luminari)
- Launch 5 persona agents in parallel using Task tool
- Synthesize and present results