Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Auto-fetch latest tweets from your X/Twitter followings and generate structured AI digest. Supports custom time ranges: 1 day, 3 days, 7 days, or custom. 自动抓取X/Twitter关注列表的最新推文,并使用AI分析师提示词生成结构化日报。支持自定义时间段:1天、3天、7天或自定义天数。 **Trigger Words:** - "summarize my followings", "X digest", "Twitter summary", "tweets from last 3 days", "weekly summary" **触发词:** - "总结关注列表", "X日报", "Twitter摘要", "过去3天的推文", "一周摘要" **Prerequisites:** X auth via AUTH_TOKEN & CT0 env vars
Auto-fetch latest tweets from your X/Twitter followings and generate structured AI digest. Supports custom time ranges: 1 day, 3 days, 7 days, or custom. 自动抓取X/Twitter关注列表的最新推文,并使用AI分析师提示词生成结构化日报。支持自定义时间段:1天、3天、7天或自定义天数。 **Trigger Words:** - "summarize my followings", "X digest", "Twitter summary", "tweets from last 3 days", "weekly summary" **触发词:** - "总结关注列表", "X日报", "Twitter摘要", "过去3天的推文", "一周摘要" **Prerequisites:** X auth via AUTH_TOKEN & CT0 env vars
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
自动抓取你关注的人的最新推文,并生成结构化的AI日报。 Auto-fetch latest tweets from your followings and generate structured AI digest.
export AUTH_TOKEN="your_auth_token" export CT0="your_ct0"
# 默认最近1天 / Default: last 1 day ./scripts/fetch_followings_tweets.sh # 指定数量和时间 / Specify count & days ./scripts/fetch_followings_tweets.sh 50 1 # 50 tweets, 1 day ./scripts/fetch_followings_tweets.sh 50 3 # 50 tweets, 3 days ./scripts/fetch_followings_tweets.sh 100 7 # 100 tweets, 7 days (weekly)
将获取到的推文内容,使用 analyst_prompt_template.md 中的提示词模板进行分析。 Feed the fetched tweets to the AI using the prompt template in references/analyst_prompt_template.md.
日报包含以下分类(仅显示有内容的类别): Digest includes (only shows categories with content): 🔥 重大事件 / Major Events - 具体细节和影响分析 / Specific details & impact analysis 🚀 产品发布 / Product Releases - 新模型、API更新、工具版本 / New models, API updates, tools 💡 技术洞察 / Tech Insights - 技术方案、优化技巧、代码片段 / Technical solutions, optimizations 🔗 资源汇总 / Resources - 论文、开源项目、教程、工具 / Papers, OSS, tutorials, tools 🎁 福利羊毛 / Deals & Freebies - 免费额度、优惠、赠品 / Free credits, discounts, giveaways 📊 舆情信号 / Signals - 争议话题、预测、警告 / Controversies, predictions, warnings
在调用AI分析时,通过提示词指定输出语言: When calling the AI, specify output language in the prompt: 中文输出: 使用提示词中的 [中文] 部分 English Output: Use the [EN] section in the prompt template 中英双语: 使用完整提示词,要求 bilingual output
bird CLI (X/Twitter client) AUTH_TOKEN & CT0 from browser cookies
推文数量越多,处理时间越长 More tweets = longer processing time 建议设置定时任务每日自动运行 Recommended: set up cron job for daily auto-run
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.