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.
Forecast brand name success comprehensively across multiple dimensions. This skill provides a structured approach to brand name prophecy.
For each brand name, forecast across these dimensions:
How to check: Run whois {name}.com etc. via Bash tool to check actual availability.
How to check: Use WebFetch to check if handles exist or are available.
Risk levels:
Score 1-10 based on:
Check for problematic meanings in:
Red flags: Profanity, negative connotations, embarrassing meanings
Search for existing companies with similar names to identify confusion risk:
Check for:
How to check: Use WebSearch to find companies with similar names. Consider:
Risk levels:
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:
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:
## 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}
Calculate overall score as weighted average:
User: "Evaluate the brand name 'Luminary' for an education technology company"