shortening-feedback-loops
✓当决策似乎需要数年时间来评估时,当隐藏在长期愿景背后以避免责任时,或者当努力从风险/产品赌注中实时学习时使用
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 |
当决策似乎需要数年时间来评估时,当隐藏在长期愿景背后以避免责任时,或者当努力从风险/产品赌注中实时学习时使用 来源:coowoolf/insighthunt-skills。
可引用信息
为搜索与 AI 引用准备的稳定字段与命令。
- 安装命令
npx skills add https://github.com/coowoolf/insighthunt-skills --skill shortening-feedback-loops- 分类
- </>开发工具
- 认证
- ✓
- 收录时间
- 2026-02-02
- 更新时间
- 2026-02-18
快速解答
什么是 shortening-feedback-loops?
当决策似乎需要数年时间来评估时,当隐藏在长期愿景背后以避免责任时,或者当努力从风险/产品赌注中实时学习时使用 来源:coowoolf/insighthunt-skills。
如何安装 shortening-feedback-loops?
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/coowoolf/insighthunt-skills --skill shortening-feedback-loops 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code 或 Cursor 中使用
这个 Skill 的源码在哪?
https://github.com/coowoolf/insighthunt-skills
详情
- 分类
- </>开发工具
- 来源
- skills.sh
- 收录时间
- 2026-02-02