/SKILL.md
基于本机已登录微信的本地数据库生成微信群聊日报长图。用于用户要求“生成某个微信群的今日日报/昨日报/群聊总结长图/聊天日报图片”这类任务时。流程包含:检查并刷新本地微信解密数据、选择群聊、分析消息、生成 AI 内容、输出手机端 PNG 长图。
npx skillsauth add advisorydz/wechat-daily-report-skill wechat-daily-reportInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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目标:基于本机微信解密后的数据库,生成一个最终可交付的 report.png 群聊日报长图。
必须按下面顺序执行,不能跳过第 5 步。
python scripts/setup_check.py --ensure-decryptor
python scripts/decrypt_wechat.py
python scripts/list_wechat_groups.py
python scripts/analyze_chat.py --chatroom "<群名或 chatroom id>" --date 2026-04-11 --output-stats stats.json --output-text simplified_chat.txt
产物:
stats.jsonsimplified_chat.txt 或 simplified_chat_*.txtai_content.json必须读取:
references/ai_prompt.md]stats.jsonsimplified_chat*.txt必须产出:
ai_content.json要求:
只有在 ai_content.json 已生成后,才能执行:
python scripts/generate_report.py --stats stats.json --ai-content ai_content.json --output report.png --clean-temp
最终产物:
report.png.png 长图,不要停在 .htmllist_wechat_groups.py 确认群名,再执行分析ai_prompt.md 并生成 ai_content.json”ai_content.json,不要执行 generate_report.pydata-ai
Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.
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OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
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