name: steve-jobs-product description: 'Design products using Steve Jobs'' philosophy: simplicity, user experience, intersection of technology and liberal arts.' domain: research tags:
- analysis
- investigation
- jobs
- product
- research
- steve
Steve Jobs Product
When to Use
Trigger phrases:
- "steve jobs product"
- "Help me with steve jobs product"
Use cases:
- When the task matches this skill's domain expertise
When NOT to use:
- For tasks outside this skill's scope
When NOT to Use
- When the answer is already known and documented
- For time-sensitive decisions that cannot wait for thorough research
- When the topic is outside your domain of competence
Overview
Steve Jobs Product enables thorough investigation with structured methodology.
Workflow
# Example: Source evaluation
def evaluate_source(url: str) -> dict:
return {
"authority": check_domain_authority(url),
"currency": get_last_updated(url),
"objectivity": detect_bias(url),
"accuracy": cross_reference(url),
}
- Define question — Clarify the research objective
- Gather sources — Collect primary and secondary data
- Analyze — Apply analytical frameworks to findings
- Synthesize — Combine insights into actionable conclusions
- Present — Deliver findings in clear, compelling format
- Archive — Store research for future reference
Source Evaluation
- Authority — Is the source credible and expert?
- Currency — Is the information recent and relevant?
- Objectivity — Is there bias or conflict of interest?
- Accuracy — Can claims be verified independently?
Output Format
- Executive summary (1-2 paragraphs)
- Key findings (bullet points)
- Detailed analysis (sections with evidence)
- Recommendations (actionable next steps)
- Sources and methodology
Anti-Rationalization
| Rationalization | Reality |
|---|---|
| "First result is good enough" | Deep research finds better answers. Keep digging. |
| "I do not need to verify sources" | Unverified sources lead to wrong conclusions. Always cross-check. |
| "Research is a one-time thing" | Markets change. Research needs to be continuous, not one-off. |
Verification
- All steps executed successfully
- Results validated against acceptance criteria
- Error handling tested with edge cases
- Documentation updated with findings