
Supply Chain Bottleneck Finder
Finds global supply chain bottlenecks that create arbitrage openings across industries.
Install
npx skills add xbtlin/ai-berkshire --skill bottleneck-hunter -g -a claude-code -y- Repository
- xbtlin/ai-berkshire17k
- Category
- Business
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 2,591 tokens
- Runs scripts
- No, instructions only
What it does
AI Berkshire skill: 供应链瓶颈猎手:AI驱动的全球产业链瓶颈套利. Source: skills/bottleneck-hunter.md.
Codex adapter note
This skill is generated from skills/bottleneck-hunter.md so Claude Code and Codex users share one canonical workflow.
- Treat
$ARGUMENTSas the user's request in the current Codex thread. - When the source mentions Claude-only surfaces such as Task, Agent, WebSearch, Bash, Read, or Write, use the closest Codex capability available in this session: subagents when available, web search when needed, shell commands for local tools, and normal file edits for workspace files.
- Use shared project tools from
tools/in this repository. Prefer running commands from the repository root with paths likepython3 tools/financial_rigor.py ...; if the current thread starts outside the repo, locate the actual checkout path first instead of assuming a fixed home-directory path. - Before starting research, run the
datecommand to confirm today's date; treat it as the baseline for "latest" data and state the data cutoff date in the report header. Never assume the current date from training data. - Preserve the research quality rules from
AGENTS.md: cross-check financial data, use exact arithmetic tools for valuation/math, and clearly label uncertainty and source gaps.
供应链瓶颈猎手:AI驱动的全球产业链瓶颈套利
对 $ARGUMENTS 超级趋势执行供应链瓶颈扫描与套利机会挖掘。
核心理念
不问"AI推荐什么股票",问"如果这个趋势继续扩张,哪一环会先不够用?"
传统投研盯龙头、盯已知赛道。这个系统反过来:从物理供应链的咽喉位置出发,找那些没人注意但一旦断货整个行业都得停下来等的公司。
超额收益来源:第一层瓶颈(GPU、HBM、电力)已被充分定价。真正的alpha在第二层、第三层, , 光模块、激光器、InP衬底、SOI晶圆、外延设备、晶圆级测试、IC载板、特殊玻纤等。
第一步:超级趋势确认
1.1 趋势筛选标准
不在小风口里找幻觉,只追符合以下全部条件的超级趋势:
| 标准 | 要求 | 验证方法 |
|---|---|---|
| 持续性 | 至少3-5年确定性增长 | 搜索行业预测、资本开支计划 |
| 物理性 | 需要实际硬件/材料/设备建设 | 区分"软件升级"和"物理扩建" |
| 规模性 | 全球资本开支>500亿美元/年 | 搜索头部玩家capex指引 |
| 加速性 | 需求增速>供给扩产速度 | 对比需求增长率vs产能扩张计划 |
1.2 当前跟踪的超级趋势清单
每次运行时更新,初始清单:
- AI基础设施建设, 数据中心、GPU集群、网络互联、电力
- 能源转型, 核电重启、电网升级、储能
- 国防现代化, 西方军费上升周期、供应链重构
- 半导体再工业化, 美欧日补贴建厂、设备/材料瓶颈
- 太空经济, 卫星互联网、发射频次激增
如果用户指定了具体趋势(如"AI基础设施"),只聚焦该趋势。


