根据任务的规模和阶段,指导你选择相关技能及其使用顺序,涵盖想法梳理、实现和故障排查,帮助确定下一步以及如何衔接后续工作。
- 选择从想法到实现的步骤
- 确定故障排查的起点
- 规划分多次会话完成的开发
根据学习目标和已有理解生成简短的互动课程,通过测验、实践任务与反馈进行练习,积累复习资料和学习记录,支持跨多次会话的持续学习。
Teach the user a new skill or concept, within this workspace.
teach 根据学习目标和已有理解设计简短的互动课程。它从可信资料中收集所需知识,通过测验和实践任务安排练习,并对回答与实践表现提供反馈。课程结合回忆练习和间隔复习,帮助长期记忆所学内容。
适合希望分多次学习新领域,或想保留资料以便日后查阅的人。它根据学习记录考虑下一步内容,同时积累术语表和速查表。每节课只聚焦一个主题,安排为短时间内可以完成的形式。
/teach 学习编程基础,请先帮我梳理学习目的。”运行 /teach 时所在的目录会成为学习工作区。学习目标保存在 MISSION.md,课程保存在 ./lessons/,学习记录保存在 ./learning-records/ 等位置。如果尚未确定目标,会先向用户询问;修改目标时也会征求用户确认。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月19日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
The user has asked you to teach them something. This is a stateful request - they intend to learn the topic over multiple sessions.
Treat the current directory as a teaching workspace. Workspace paths (./lessons/ and the rest) resolve from the directory /teach was run in; only the *-FORMAT.md links resolve from this skill's folder. The state of their learning is captured in this directory in several files:
MISSION.md: A document capturing the reason the user is interested in the topic. This should be used to ground all teaching. Use the format in MISSION-FORMAT.md../reference/*.html: A directory of reference materials. These are the compressed learnings from the lessons - cheat sheets, reference algorithms, syntax, yoga poses, glossaries. They are the raw units of learning. They should be beautiful documents which print out well, and are designed for quick reference.RESOURCES.md: A list of resources which can be explored to ground your teaching in contextual knowledge, or to acquire knowledge and wisdom. Use the format in RESOURCES-FORMAT.md../learning-records/*.md: A directory of learning records, which capture what the user has learned. These are loosely equivalent to architectural decision records in software development - they capture non-obvious lessons and key insights that may need to be revised later, or drive future sessions. These should be used to calculate the zone of proximal development. They are titled 0001-<dash-case-name>.md, where the number increments each time. Use the format in LEARNING-RECORD-FORMAT.md../lessons/*.html: A directory of lessons. A lesson is a single, self-contained HTML output that teaches one tightly-scoped thing tied to the mission. This is the primary unit of teaching in this workspace../assets/*: Reusable components shared across lessons. See Assets.NOTES.md: A scratchpad for you to jot down user preferences, or working notes.To learn at a deep level, the user needs three things:
Before the RESOURCES.md is well-populated, your focus should be to find high-quality resources which will help the user acquire knowledge. Never trust your parametric knowledge.
Some topics may require more skills than knowledge. Learning more about theoretical physics might be more knowledge-based. For yoga, more skills-based.
You should be careful to split between two types of learning:
Fluency can give the user an illusory sense of mastery, but storage strength is the real goal. Try to design lessons which build long-term retention by desirable difficulty:
A lesson is the main thing you produce: the unit in which knowledge and skills reach the user. Each lesson is one self-contained HTML file, saved to ./lessons/ and titled 0001-<dash-case-name>.html where the number increments each time.
A lesson should be beautiful, with clean, readable typography and layout, since the user will return to these later to review. Think Tufte.
The lesson should be short, and completable very quickly. Learners' working memory is very small, and we need to stay within it. But each lesson should give the user a single tangible win that they can build on. It should be directly tied to the mission, and should be in the user's zone of proximal development.
If possible, open the lesson file for the user by running a CLI command.
Each lesson should link via HTML anchors to other lessons and reference documents.
Each lesson should recommend a primary source for the user to read or watch. This should be the most high-quality, high-trust resource you found on the topic.
Each lesson should contain a reminder to ask followup questions to the agent. The agent is their teacher, and can assist with anything that's unclear.
Lessons are built from reusable components, stored in ./assets/: stylesheets, quiz widgets, simulators, diagram helpers, and anything else a second lesson could reuse.
Reuse is the default, not the exception. Before authoring a lesson, read ./assets/ and build from the components already there. When a lesson needs something new and reusable, write it as a component in ./assets/ and link to it; never inline code a future lesson would duplicate.
A shared stylesheet is the first component every workspace earns: every lesson links it, so the lessons look like one consistent course rather than a pile of one-offs. As the workspace grows, so should the component library.
Every lesson should be tied into the mission - the reason that the user is interested in learning about the topic.
If the user is unclear about the mission, or the MISSION.md is not populated, your first job should be to question the user on why they want to learn this.
Failing to understand the mission will mean knowledge acquisition is not grounded in real-world goals. Lessons will feel too abstract. You will have no way of judging what the user should do next.
Missions may change as the user develops more skills and knowledge. This is normal - make sure to update the MISSION.md and add a learning record to capture the change. Confirm with the user before changing the mission.
Each lesson, the user should always feel as if they are being challenged 'just enough'.
The user may specify an exact thing they want to learn. If they don't, figure out their zone of proximal development by:
learning-recordsLessons should be designed around a skill the user is going to learn. The knowledge in the lesson should be only what's required to acquire that skill. You teach the knowledge first, then get the user to practice the skills via an interactive feedback loop.
Knowledge should first be gathered from trusted resources. Use RESOURCES.md to keep track of them. Lessons should be littered with citations - links to external resources to back up any claim made. This increases the trustworthiness of the lesson.
For acquiring knowledge, difficulty is the enemy. It eats working memory you need for understanding.
If knowledge is all about acquisition, skills are about durability and flexibility. Make the knowledge stick.
For skill acquisition, difficulty is the tool. Effortful retrieval is what builds storage strength. Skills should be taught through interactive lessons. There are several tools at your disposal:
Each of these should be based on a feedback loop, where the user receives feedback on their performance. This feedback loop should be as tight as possible, giving feedback immediately - and ideally automatically.
For quizzes, each answer should be exactly the same number of words (and characters, if possible). Vary which position holds the correct answer across questions. Don't give the user any clues about the answer through formatting or order.
Wisdom comes from true real-world interaction - testing your skills outside the learning environment.
When the user asks a question that appears to require wisdom, your default posture should be to attempt to answer - but to ultimately delegate to a community.
A community is a place (online or offline) where the user can test their skills in the real world. This might be a forum, a subreddit, a real-world class (budget permitting) or a local interest group.
You should attempt to find high-reputation communities the user can join. If the user expresses a preference that they don't want to join a community, respect it.
While creating lessons, you should also create reference documents. Lessons can reference these documents - they are useful for tracking raw units of knowledge useful across lessons.
Lessons will rarely be revisited later - reference documents will be. They should be the compressed essence of the lesson, in a format designed for quick reference.
Some learning topics lend themselves to reference:
Glossaries, in particular, are an essential reference. Once one is created, it should be adhered to in every lesson.
NOTES.mdThe user will sometimes express preferences of how they want to be taught, or things you should keep in mind. This is the place to record those preferences, so you can refer back to them when designing lessons or working with the user.
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根据任务的规模和阶段,指导你选择相关技能及其使用顺序,涵盖想法梳理、实现和故障排查,帮助确定下一步以及如何衔接后续工作。
在单次会话中协调承担不同任务的子智能体,推进长期目标。后台工作与用户对话同时进行,并改进共享规范、工作环境和后续任务所需的信息访问条件。
将进行中的对话整理为交接摘要,移除敏感信息,明确后续重点、参考资料和建议技能,再启动新的后台智能体,从当前工作目录继续处理任务。
以指定提交、分支或标签为基准,从开发规范和原始需求两个角度审查代码变更。分别报告规范问题与需求缺漏,便于独立判断两方面的结果。
帮助设计用法精简、内部集中处理复杂逻辑的模块。通过统一术语和判断标准,评估模块是否易用、实现替换位置是否合适,以及是否便于测试。
通过能检测具体症状的测试或脚本,调查难以复现的故障和性能下降。缩小失败条件,验证多个原因假设,完成修复后检查原始复现流程及防止复发的测试。