Queued Ready【免费下载链接】Agent-Skills-for-Context-EngineeringA comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.项目地址: https://gitcode.com/GitHub_Trending/ag/Agent-Skills-for-Context-Engineering[PLACEHOLDER: Content title] - Platform - Target date[PLACEHOLDER]In Development[PLACEHOLDER: Content title] - Status - Notes[PLACEHOLDER]Planned Series/Campaigns[PLACEHOLDER: Series name] - Parts: X - Status[PLACEHOLDER]- **Queued Ready**已完成、随时可发的成品需要记录目标平台与目标日期可被直接拉入某周排期 - **In Development**进行中的草稿标注状态与备注与 drafts/ 目录互为索引 - **Planned Series/Campaigns**多篇成组的内容如系列帖、专题 Campaign记录总篇数与整体进度。 这条队列让日历保持滚动窗口本周排期只覆盖最近一周而队列承载更长的视野。Agent 在收到帮我排下周内容指令时会优先从 Queued Ready 中挑选其次考虑 In Development 中的高优先级草稿。 --- ## 批量制作Content Batching与批量状态 为了减少上下文切换模板支持批量内容制作用 YAML 定义一次批产会话 yaml batch_day: [PLACEHOLDER: e.g., Sunday] batch_duration: [PLACEHOLDER: e.g., 2 hours] target_output: [PLACEHOLDER: e.g., 5 posts for the week]batch_day固定的批量制作日如周日batch_duration预估耗时用于在日历上预留整块时间target_output产出目标如本周 5 篇帖是批量会话的完成标准。当前批次状态则用清单呈现Posts ready: [X/Y]Threads ready: [X/Y]Newsletter ready: [Yes/No]该清单把本周排期反推为产能指标如果日历上安排了 5 篇帖子但 Posts ready 只有 2/5说明本周排期存在缺口需要从 Queued Ready 补充或调整计划。这是把日历从记录表升级为产能仪表盘的关键一步。Agent 自动化佐证仓库提供了 content_ideas.py可直接为批量会话补充素材python examples/digital-brain-skill/agents/scripts/content_ideas.py --pillar ai_agents --count 5该脚本会读取posts.jsonl计算历史互动得分likes comments×2 reposts×3见 content_ideas.py 的get_top_performing_content从knowledge/bookmarks.jsonl提取近期研究主题并列出ideas.jsonl中status raw的未开发灵感。它的输出正好可填充日历的本周待选候选池。若需要把某条灵感展开成草稿骨架可运行python examples/digital-brain-skill/agents/scripts/idea_to_draft.py idea_example_001idea_to_draft.py 会根据灵感 ID 找到对应记录拉取相关书签与同 pillar 的历史帖生成带元数据、Hook 选项、Main Points、CTA 与发布前检查清单的草稿脚手架——完成这些后该内容即可在日历上标记为drafted。重要日期与周期性内容Important Dates日历还需要感知外部时间锚点### Upcoming Events to Create Content For - [DATE]: [PLACEHOLDER: Event/holiday/launch] - [DATE]: [PLACEHOLDER] ### Recurring Content - Monthly: [PLACEHOLDER: e.g., Monthly learnings thread] - Quarterly: [PLACEHOLDER: e.g., Goal review] - Annually: [PLACEHOLDER: e.g., Year in review]Upcoming Events事件、节日、产品发布等一次性时间锚点用于提前预排专题内容Recurring Content周期性内容的固定节奏月度学习复盘帖、季度目标回顾、年度回顾这类内容在weekly_review.py的每周行动项里也会被反复提及见下文。这些锚点决定了什么时候该提前为哪个事件备稿避免内容生产总是滞后于热点。复盘驱动排期weekly_review.py 与日历回写日历不是一次性填完就结束的静态文件它是每周复盘流程的产出终点。仓库的 weekly_review.py 展示了这一闭环get_week_range()计算本周起止日期analyze_content(week_start)统计本周发布数与新捕获灵感数analyze_network(week_start)统计互动记录analyze_metrics()读取operations/metrics.jsonl最新一条观众数据输出周复盘文档内含 Action Items如Review content performancePlan next weeks content。运行方式python examples/digital-brain-skill/agents/scripts/weekly_review.py【免费下载链接】Agent-Skills-for-Context-EngineeringA comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.项目地址: https://gitcode.com/GitHub_Trending/ag/Agent-Skills-for-Context-Engineering创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考