Skills

Era Alpha

AI Berkshire skill: 时代α捕手:高增长核心资产的识别-验证-持有框架.

Install

npx skills add xbtlin/ai-berkshire --skill era-alpha -g -a claude-code -y
Repository
xbtlin/ai-berkshire17k
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Lightabout 945 tokens
Runs scripts
No, instructions only

What it does

AI Berkshire skill: 时代α捕手:高增长核心资产的识别-验证-持有框架. Source: skills/era-alpha.md.

Codex adapter note

This skill is generated from skills/era-alpha.md so Claude Code and Codex users share one canonical workflow.

  • Treat $ARGUMENTS as 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 like python3 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 date command 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.

时代α捕手:高增长核心资产的识别-验证-持有框架

对 $ARGUMENTS 行业/方向执行"时代α四步法":建立行业认知地图 → 自问核心问题 → 全方位验证 → 持有到拐点。目标是找出当下最核心高增长行业中真正有定价权、有壁垒、能持续跑赢同行的 α 企业,并给出介入与退出纪律。

方法论来源与本质

源自一套职业投资人的四步操作手册,本质一句话:把财富建立在认知之上,而不是运气或情绪之上。原版四步(读一年财报建地图 → 自问核心高增长行业与核心α → 财报+调研+行业+宏观全验证后介入 → 基本面拐点前死拿)是职业选手的修炼路径,本技能内置了三项修正,使其成为可执行路径:

  1. 修正一(精简范围):不覆盖所有行业,聚焦指定赛道的 2-3 个核心环节做深做透。三五家真正看透,胜过认识一千家。
  2. 修正二(高频数据交叉验证):财报是三个月前的体检报告,必须用行业高频数据(周度/月度出货量、价格、订单、装机、渗透率)做实时体温计校正。
  3. 修正三(估值锚点):长期看"高了还能更高",但市盈率超历史均值 3 个标准差时介入可能长期输时间。合理或低估时重仓、明显泡沫时减仓、拐点确认时清仓,不闭眼买。

与现有技能的分工:

  • industry-research 偏产业链全景切片;industry-funnel 偏全市场漏斗筛选
  • era-alpha 偏"时代级高增长主线"的 α 识别 + 增长可持续性验证 + 持有/退出纪律,聚焦更窄、验证更深、给出明确的拐点清单

第一步:行业认知地图(原版"读365份财报"的聚焦版)

对目标赛道建立产业链认知地图,每个环节回答:

Read the whole SKILL.md on GitHub

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