data-flywheel
Skill3 starsChanged 3 months agoLicence not identifiedView on GitHub
在 AI 能力人人可得的市场里，判断竞争优势从哪里来，并按五步把 AI 投入变成会自我加速的数据飞轮。 何时调用：用户问"大家都能用同样的模型，我们靠什么赢""AI 时代我们的护城河是什么""要不要一次性把 AI 铺到所有部门""我们的 AI 项目怎么才能越用越值钱""竞争对手也在做同样的事怎么办"之类的话时；或在规划 AI 转型的推进节奏与优先级时。 何时不调用：用户在做算法层面的在线学习/模型迭代（那是工程问题，不是组织级护城河）；或在诊断某个具体项目为什么推不动（那是 transformation-failure-diagnosis）；或在判断单个项目值不值得做（那是 earnings-call-test）。
In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-four-componentsSkill
- agent-level-ladderSkill
- ai-decision-coreSkill
- ai-solution-two-lawsSkill
- boss-ai-enginesSkill
- commitment-ledgerSkill
- dri-identify-empowerSkill
- earnings-call-testSkill
- four-faces-of-judgmentSkill
- headcount-to-computeSkill
- living-ontologySkill
- ruler-before-rankingSkill
- sediment-before-flattenSkill
- ai-future-is-nowSkill
- tech-shock-four-crushesSkill
- token-cheap-system-valuableSkill
- transformation-failure-diagnosisSkill
- work-quadrant-compassSkill
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