steve-jobs-product

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Steve Jobs Product System. Use when relevant to this domain.

oyi77 By oyi77 schedule Updated 6/8/2026

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),
    }
  1. Define question — Clarify the research objective
  2. Gather sources — Collect primary and secondary data
  3. Analyze — Apply analytical frameworks to findings
  4. Synthesize — Combine insights into actionable conclusions
  5. Present — Deliver findings in clear, compelling format
  6. 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
Install via CLI
npx skills add https://github.com/oyi77/1ai-skills --skill steve-jobs-product
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