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AI Berkshire skill: 微信公众号文章:作者-编辑-读者三Agent协作. Source: skills/wechat-article.md.

AI & Automation 14,533 stars 2040 forks Updated yesterday MIT

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Quality Score: 93/100

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100
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70
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Skill Content

## Codex adapter note This skill is generated from `skills/wechat-article.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. # 微信公众号文章:作者-编辑-读者三Agent协作 对 $ARGUMENTS 进行深度研究,产出一篇可直接发布的微信公众号文章。三个Agent各司其职:作者写深度初稿,编辑精修结构和表达,读者从目标受众视角审读。 **支持输入格式**:主题描述,例如:`大模型OPD技术解读`、`Qwen3技术报告解读`、`为什么巴菲特不买科技股` --- ## 设计理念 一篇好的公众号文章需要同时满足三个维度: 1. **深度**——对得起花时间读完的人(作者负责) 2. **可读性**——结构清晰、节奏好、不劝退(编辑负责) 3. **真的能看懂**——目标读者不会在中途放弃(读者负责) 单...

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Author
xbtlin
Repository
xbtlin/ai-berkshire
Created
3 months ago
Last Updated
yesterday
Language
Python
License
MIT

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