deep-company-series

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AI Berkshire skill: 看懂XX公司(深度公司系列):3-8 篇长文拆一家公司. Source: skills/deep-company-series.md.

AI & Automation 16,284 stars 2426 forks Updated 3 days ago MIT

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## Codex adapter note This skill is generated from `skills/deep-company-series.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. # 看懂XX公司(深度公司系列):3-8 篇长文拆一家公司 为 $ARGUMENTS 撰写一个《看懂XX》深度长文系列(3-8 篇,按公司复杂度定,见"篇数适配"),发布在公众号/视频号等公开渠道。**核心 IP 不是"会写",而是"会改"——99% 的财经文章在违反本 skill 的事实核查标准**。 参考样本:`reports/腾讯/《看懂腾讯》/` --- ## 一、触发场景 用户希望为一家公司做"教科书级别"的深度研究,并以**系列长文**形式公开发布。区别于一篇研报: - 3-8 篇(复杂公司 8 篇约 12 万字,简单公司 3 篇约 3 万字),从认知重置到决...

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Author
xbtlin
Repository
xbtlin/ai-berkshire
Created
5 months ago
Last Updated
3 days ago
Language
HTML
License
MIT

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