living-ontology
Skill3 starsChanged 3 months agoLicence not identifiedView on GitHub
当企业的 AI/知识库"读了很多资料却答不对"时，判断问题出在输入端而非模型端，并按「活地图」标准建立业务语义层。 何时调用：用户说"我们把资料都喂给它了，它还是答不准""上了 RAG/知识库但答案似是而非""数据中台建了三年没人用""它不懂我们说的有效客户是什么意思""跨系统的问题它就答不了"之类的话时；或在规划企业知识/语义层、评估本体与知识图谱方案时。 何时不调用：用户要设计一张数据库表、做 ETL 或建数仓（那是常规数据工程）；或问题在于单个工具缺记忆/缺工具接入（那是 agent-four-components）；或用户在做企业级系统的整体缺口盘点（那是 ai-decision-core）。
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
- data-flywheelSkill
- dri-identify-empowerSkill
- earnings-call-testSkill
- four-faces-of-judgmentSkill
- headcount-to-computeSkill
- ruler-before-rankingSkill
- sediment-before-flattenSkill
- ai-future-is-nowSkill
- tech-shock-four-crushesSkill
- token-cheap-system-valuableSkill
- transformation-failure-diagnosisSkill
- work-quadrant-compassSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.