shortening-feedback-loops
✓Use when decisions seem to require years to evaluate, when hiding behind long-term vision to avoid accountability, or when struggling to learn from venture/product bets in real-time
Installation
SKILL.md
A mental model to debunk the idea that some decisions require years to evaluate. It involves identifying short-term proxies that correlate with long-term success.
Core principle: There is no such thing as a long feedback loop—it's a choice to wait.
| Necessary conditions | Find what MUST happen for ultimate success | | Correlated signals | Look for metrics that predict the outcome | | Proactive measurement | Design experiments to surface signals early | | Trade safety for learning | Knowing early is better than comfortable ignorance |
Use when decisions seem to require years to evaluate, when hiding behind long-term vision to avoid accountability, or when struggling to learn from venture/product bets in real-time Source: coowoolf/insighthunt-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/coowoolf/insighthunt-skills --skill shortening-feedback-loops- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-02
- Updated
- 2026-02-18
Quick answers
What is shortening-feedback-loops?
Use when decisions seem to require years to evaluate, when hiding behind long-term vision to avoid accountability, or when struggling to learn from venture/product bets in real-time Source: coowoolf/insighthunt-skills.
How do I install shortening-feedback-loops?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/coowoolf/insighthunt-skills --skill shortening-feedback-loops Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/coowoolf/insighthunt-skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-02