A structured method for gathering high-signal, contextual feedback from a trusted network to validate ideas or navigate complex career decisions. Use this when facing a "fork in the road" career choice, prioritizing product features, or narrowing down topics for public speaking or content.
Quickly install curiosity-loop-decision-making AI skill to your development environment via command line
Source: samarv/shanon.
A Curiosity Loop is a lightweight, structured process for de-risking decisions by soliciting targeted input from a curated group of peers. Unlike generic "advice-seeking," which often results in non-contextual or biased suggestions, this framework forces specificity and reveals "surprises" you might have missed.
Formulate a Specific Question A good question must be specific, solicit rationale, and remain unbiased. Avoid "garbage in, garbage out" by giving respondents a concrete anchor.
Curate the Loop Select 5–10 people to ensure you receive at least 3–5 high-quality responses. Balance your list across two dimensions:
A structured method for gathering high-signal, contextual feedback from a trusted network to validate ideas or navigate complex career decisions. Use this when facing a "fork in the road" career choice, prioritizing product features, or narrowing down topics for public speaking or content. Source: samarv/shanon.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/samarv/shanon --skill curiosity-loop-decision-makingA structured method for gathering high-signal, contextual feedback from a trusted network to validate ideas or navigate complex career decisions. Use this when facing a "fork in the road" career choice, prioritizing product features, or narrowing down topics for public speaking or content. Source: samarv/shanon.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/samarv/shanon --skill curiosity-loop-decision-making Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/samarv/shanon