wechat-article
FeaturedAI Berkshire skill: 微信公众号文章:作者-编辑-读者三Agent协作. Source: skills/wechat-article.md.
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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...
Details
- Author
- xbtlin
- Repository
- xbtlin/ai-berkshire
- Created
- 3 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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