trend-to-microbet

Turn a fast-moving AI, product, creator, career, or technology trend into a small evidence-producing bet instead of a vague FOMO reaction. Use when the user says something is suddenly hot, wonders whe

SKILL.md

GitHub

Trend to Microbet

Do not answer hype with hype. Convert the trend into a bounded experiment.

Workflow

  1. Name the trend precisely. Separate the product, capability, ecosystem, and social buzz.
  2. Verify recency when tools allow. Prefer official release notes plus at least one independent community or adoption signal. If live web access is unavailable, mark trend strength as unverified.
  3. Check personal leverage. What assets already exist: code, audience, domain knowledge, data, relationships, infrastructure, writing, distribution, or a half-built prototype?
  4. Score the opportunity using references/microbet-scorecard.md.
  5. Design the smallest public or real-world test. Default horizon: 48 hours to 7 days. Cap effort before building.
  6. Choose one proof metric before work starts. Examples: external installs, completed tasks, user replies, repeat use, accepted demo, qualified leads, benchmark delta, or a real conversation that changes the decision.
  7. Define stop / iterate / double-down rules. A microbet without a stop rule becomes a new distraction.
  8. Publish or test where the target users already are. Do not build a new community merely to validate the idea.
  9. Review the result, not the excitement. Update the opportunity score after evidence arrives.

Output

Return:

  • Trend claim and verification status
  • Why it may matter
  • Existing leverage
  • 48h–7d microbet
  • Effort cap
  • Primary proof metric
  • Stop / iterate / double-down rule
  • What not to do yet

Do not present social-media excitement, stars, or press coverage as proof that the user's own bet will work.