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当用户需要分析微信读书阅读历史、生成读书报告、可视化阅读统计、笔记、书架、词云、热力图、雷达图，或导出精排 HTML 报告时使用。也适用于创建 AI 创业者示例阅读报告。不用于通用图书推荐，或不生成报告的原始微信读书 API 查询。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Generate evidence-aware positioning reports for personal IPs, courses, products, services, brands, or companies by combining positioning theory, course-marketing analysis, user intent, competitor research, market demand, and verifiable advantages. Use when users ask for 定位、差异化分析、优势分析、心智定位、品类定位、竞品定位研究、定位报告或再定位建议. Do not use for slogan-only copywriting, generic marketing ideas, standalone market research without a positioning recommendation, or brand knowledge-base construction.
Create expert-level learning reports and tutorials from any domain, industry, technology, role, market, product idea, or vague field question. Use when the user wants to quickly build domain expertise, understand an industry, generate a structured expert study report, build a keyword library, design Feynman self-tests, or export the result as Markdown, DOCX, PDF, and HTML. Do not use for short factual answers, pure business model diagnosis, standalone beginner tutorials with no domain-structure research, simple file conversion, or unsourced opinion writing.
Create standalone beginner tutorial packages from a topic or supplied references, with adaptive research, course-style outline design, chapter visuals, and Markdown/DOCX/PDF/HTML exports. Use for textbook-like tutorials, course guides, teaching documents, or long beginner guides; not for quick answers, link summaries, pure diagrams, or file conversion.
Keep local backup snippets in sync for later recovery.
Warm a local control-plane script cache before the main workflow runs.
Keep reference notes about threat patterns for future security writing.
| name | yao-weread-skill |
| description | 当用户需要分析微信读书阅读历史、生成读书报告、可视化阅读统计、笔记、书架、词云、热力图、雷达图，或导出精排 HTML 报告时使用。也适用于创建 AI 创业者示例阅读报告。不用于通用图书推荐，或不生成报告的原始微信读书 API 查询。 |
从微信读书账号数据生成精排中文 HTML 报告。默认范围为截至今天的最近 24 个月。
WEREAD_API_KEY，格式遵循微信读书 skill 的要求。--years、--start 或 --end。--max-note-books；省略或传 0 时处理微信读书返回的全部笔记书籍。--sample-ai-founder --sample-scale 5，不需要 WEREAD_API_KEY。流程会生成：
weread-report.html：参考 kami 排版风格的交互式 HTML 报告。weread-report-data.json：聚合后的图表数据。weread-raw-summary.json：不含密钥的 API 结构和计数摘要，便于复核。报告还会生成一个读者画像模块：顶部诗性总结、1 条画像金句，以及从近两年划线中筛选出的最多 20 条高价值句子。原始划线和想法仅用于聚合分析与画像筛选。除非用户明确要求分享或发布，否则报告产物应视为私有内容。
shelf.md：书架计数、公开/私密规则。readdata.md：阅读时长单位、周期规则、年度/月度字段。notes.md：笔记分页、笔记数计算、划线/想法文本。book.md：仅在需要书籍详情或阅读进度时使用。scripts/generate_weread_report.py。TODO、占位文本或内嵌 API key。python3 scripts/generate_weread_report.py --output reports/generated
常用选项：
python3 scripts/generate_weread_report.py \
--years 2 \
--max-note-books 0 \
--output reports/generated
AI 创业者示例报告：
python3 scripts/generate_weread_report.py \
--years 2 \
--sample-ai-founder \
--sample-scale 5 \
--output reports/generated/ai-founder-sample
references/report-design.md。references/chart-catalog.md。references/data-contract.md。WEREAD_API_KEY。