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teach
Teach the user a new skill or concept, within this workspace.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Teach the user a new skill or concept, within this workspace.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
解释并编写 OpenAI Codex `/goal` 功能的有效指令——持久的自检代理循环(计划 → 执行 → 测试 → 复查 → 迭代)。当用户提到 Codex `/goal`、“goal loop”、“Ralph loop”,想启动一次长期运行的自主 Codex 任务,询问如何编写 goal 提示,或想草拟一段 goal 指令时使用。
在实现前对计划或设计做高强度决策访谈。用于用户要求 grill、grilling、压力测试方案,或希望逐项对齐产品与架构决策时。
运行极其严格的可维护性审查,重点检查抽象质量、超大文件、意大利面式条件增长、重复逻辑、低价值测试和有意义的清理机会。用于 thermo-nuclear code quality review、thermonuclear maintainability review、深度代码质量审计、针对变更代码或测试代码的 cleanup/fix 请求、复用检查、垃圾测试清理,或特别严格的可维护性审查。
对当前分支改动做全面的安全性与正确性审查。用于 thermo nuclear、thermonuclear、深度 review、分支或 PR diff 审计,重点检查 bug、破坏性变更、安全漏洞、开发体验回退、feature gate 泄漏、测试可靠性和虚假测试信心。
并行运行两个热核级审查流程,然后综合它们的发现。用于用户明确要求 thermos、double thermo review、两个 thermo reviewer、并行 review agent,或同时覆盖 bug、安全问题、测试可靠性与代码质量的分支审计。
使用这个技能,把工作委派给当前 tmux 会话中的独立交互式 AI Agent TUI 会话。
| name | teach |
| description | Teach the user a new skill or concept, within this workspace. |
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. 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.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.
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 — clean, readable typography and layout — since the user will return to these later to review.
The lesson should teach ONE THING only. It should be completable very quickly - but give the user a 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.
Make opening a lesson as easy as possible — ideally a single CLI command the user can run to open the HTML file in their browser.
Each lesson should link via HTML anchors to other lessons and reference documents.
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 learner 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-recordsA user may tell you that they already know about that topic. If so, record it in their learning-records.
Lessons 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, and gives the user a path to acquire more knowledge if they want to go deeper.
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.
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.
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.