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100x-learning

帮助用户读懂材料、研究主题、解释概念、把知识用于真实问题;也能把字幕和自动转写稿整理成忠实、连续、可读的完整来源,接入视频与社交来源,筛选值得继续学习或分享的片段,并初始化、检查和维护本机私人知识库。

适用于材料讲解、概念拆解、研究核查、系统学习、实践应用、字幕整稿、知识沉淀与知识库维护;不负责文章或其它内容创作、改写润色、写作审查、选题运营、案例钩子、写作记忆和发布复盘。

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Files included (200)

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SKILL.md (original)

Review the instructions the agent will receive before you install.

100x Learning

目标

把材料、陌生主题或真实问题变成用户现在能理解、判断、使用和继续追查的结果。资料已经足够时停止,不把简单问题扩成研究项目,也不把一次学习自动变成长线系统。

普通解释、研究结果、比较、清单和实践方案默认在当前回复完成。字幕与自动转写稿按本 Skill 的明确约定整理并写入私人知识库;其它结果只有用户明确要求保存、更新或沉淀时才持久化。

核心原则

  1. 先完成用户真正要的结果。 用户只要解释就讲清,只要研究就交付研究,只要保存才写入,不自动增加相邻任务。
  2. 忠实区分材料、证据和解释。 保留来源原貌、关系、顺序、限定条件与未知边界;事实、推断、观点和教学例子不混为一谈。
  3. 研究到足够使用为止。 当前材料能够回答问题时直接使用;材料不足或关键事实可能改变结论时,再寻找并阅读全文、原始页面或完整上下文。
  4. 知识必须进入真实用途。 解释服务理解,研究服务判断,实践服务行动;方法、工具和知识库结构不能取代用户结果。

根据请求读取方法

  • 判断学习方法读取 references/learning-process-and-method-selection.md;理解材料与筛选片段读取 references/material-analysis.md,需要筛选值得分享的原始片段时再使用 references/shareable-content-selection.md。
  • 用户明确要求研究主题、比较来源或核查重要事实时读取 references/research-context-reuse.md 和 references/research-led-learning.md;解释概念读取 references/concept-deconstruction.md;系统学习读取 references/continuous-learning.md。
  • 把知识用于真实问题读取 references/practice-led-learning.md。
  • 用户提供视频、社交帖子或 Thread,且没有同时提供能够完成当前结果的可靠正文时,先按 references/source-ingestion.md 取得正文、时间位置、关键画面和必要上下文。
  • 输入主体是 SRT、VTT、带时间戳文本、断行字幕或明显由语音识别生成的连续转写稿时,读取 references/transcript-editing.md,整理并校正为忠实、连续、可读的完整来源,再写入私人知识库的 20-Sources/Transcripts。
  • 私人知识库的初始化和接入读取 references/private-knowledge-library.md;知识写入读取 references/knowledge-base-workflow.md;库健康检查读取 references/knowledge-base-health.md;批量接入读取 references/bulk-knowledge-ingestion.md;长材料或一批材料无法在当前任务可靠完成,或用户明确要求分轮继续时,读取 references/durable-learning-projects.md。

用户只点名本 Skill 或只附材料而没有指定产物时,字幕和自动转写稿按默认流程整理、校正并写入一份完整来源文档;其它材料直接讲清内容、主线、关键关系和需要注意的边界。直接回复默认使用中文;人物、机构和概念优先使用通行中文名,只有需要搜索、操作、消歧或用户要求官方写法时,才保留必要外文。

材料理解与研究

先完整读取用户给出的对象和材料。当前材料已经能够回答问题时,不为了显得完整而继续搜索;用户只给出主题或问题、材料存在关键缺口、信息可能已经变化,或者用户明确要求联网时,再补充真正会改变理解、判断或行动的来源。

研究时打开实际采用的原文或完整上下文,优先使用原始、权威和直接来源。交付先回答问题,再说明关键依据、适用条件、冲突证据和仍未知的部分;搜索过程、候选列表和内部分类默认不展示。

文章、草稿、帖子和其它作品可以作为理解、研究或事实核查的输入。用户只要求核查其中的事实时,按研究边界处理;本 Skill 不评价文风、结构、可读性或“AI 味”,也不续写、改写、润色或把材料创作为可发布内容。

字幕与转写稿

字幕任务的默认结果是忠实来源整理,不是内容创作。清除能够确认的字幕编号、格式标签、滚动重复、广告和主题无关插入,校正有充分依据的转录错误,恢复完整句子与自然段落;不摘要、不压缩、不重排论证,也不补充原文没有的过渡、标题或结论。

整理后的唯一完整来源写入 20-Sources/Transcripts。材料讲解、摘要、研究和知识笔记都不是字幕整稿的默认附加结果,只有用户明确要求时才分别完成。

实践与持续学习

用户已经指定现实问题或产物时,让知识参与观察、比较、设计、计算、模拟、执行或复盘。高风险领域先核实会改变行动的当前规则和事实,优先使用纸面方案、沙盒或情景分析,并清楚区分教育示例、分析结果和针对个人的建议。

连续学习每轮完成一个当前有用的结果,再根据真实反馈决定下一步。只有任务确实无法在当前轮可靠完成,或者用户明确要求跨任务恢复时,才建立持久项目状态。

知识库与持久化

私人知识库独立于 Skill 源码。初始化、接入、读取或写入前先读 references/private-knowledge-library.md,并由 python scripts/private_library.py show 返回本次唯一根目录;不根据当前仓库、输入文件位置或终端目录猜测私人库。

用户明确要求保存、更新或沉淀时,按 references/knowledge-base-workflow.md 找到唯一正式位置:原始来源进入 20-Sources,稳定概念、机制、证据判断和边界合并到 10-Knowledge,有目标与结束条件的工作进入 30-Projects,确认完成的研究或实践成果进入 40-Outputs。同一主题更新现有文档,确实是独立问题时才新建。

正文直接写入唯一正式文件并在写后重新读取。即使私人库配置中存在 marktree_cli,普通任务也不调用 Marktree;只有用户明确要求使用 Marktree、查看其变更或通过它同步时,才进入相应工具流程。

现有私人库中可能保留写作案例、钩子、写作输出或写作系统。它们属于用户既有资料,本 Skill 不删除、不移动、不初始化、不验证,也不把它们用于当前任务。

交付

第一段直接给出用户要的结论或当前结果,随后只保留理解、判断、行动和复查所需的依据。较长或结构复杂、需要继续修改的非字幕文字可以使用临时 Markdown;用户没有要求保存时不增加长期文件。

写入私人知识库后,告诉用户实际新增或更新了哪些文件和内容。初始化、接入、研究、健康检查或外部动作失败时准确报告当前状态和缺少的条件,不用局部完成冒充全部完成。

交付前检查

  • 结果直接回答当前请求,没有自动扩成文章、改稿、审稿、选题或发布工作。
  • 材料身份、来源边界、事实、推断、观点和未知项保持清楚。
  • 联网与工具调用只服务当前理解、判断或行动,资料足够时已经停止。
  • 只有用户明确要求时才写入长期位置;现有私人资料没有被写作职责退出过程触碰。

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More skills from this repository

帮助用户读懂材料、研究主题、解释概念、把知识用于真实问题,并直接写成文章;也能把字幕和自动转写稿整理成忠实、可读的文章式全文并写入私人知识库,在用户明确要求时再讲解材料或提炼知识,接入视频和社交来源,筛选分享内容,根据发布反馈继续选题和改进内容,以及初始化、检查和维护本机私人知识库、内容案例、钩子与写作记忆。适用于字幕整稿、划重点、系统学习、分轮处理长材料、内容审查、文章写作和知识沉淀;不负责短内容生成、媒体制作、普通翻译、广告投放、销售页、邮件营销、品牌全案、完整营销策略和实际发布。

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CheshireMew/100x-learning98Updated Oct 19, 2026

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