I built SkillsTeacher.AI as a skills-based teaching and learning system. It is as both a supplement and workaround to the traditional school system. It is designed for you to upload something real—an assignment, reading, student work sample, question, professional problem, or real-life challenge—and it helps identify the skills involved and connects you to resources for learning or teaching them.

It is really a combination of all of those pieces working together. It combines a structured Skills Library, AI tools that help analyze work and situations, teaching assistants that help create or adapt materials, and a learning library with courses and resources; the goal is one connected process from problem → skill → instruction → practice → new evidence.

ChatGPT can often give you a useful answer, but that can also make it easy to offload the thinking: ask the question, get the answer, and move on without actually building the skill yourself. SkillsTeacher.AI is designed to work differently. Instead of simply telling you what to do, it looks at the task, work sample, or situation, identifies the skills involved, shows what may need to be learned first, and connects you to explanations, practice, and resources so you can build the ability to do it yourself.

ChatGPT can give you a useful answer, but SkillsTeacher.AI is built around a structured set of defined skills and connected learning resources. My goal is not just to answer your question, but to help you understand what skill is involved and what to do next—whether that means an explanation, lesson, scaffold, tutoring resource, practice activity, or assessment.

built SkillsTeacher.AI to help prevent cognitive offloading—using AI to do the thinking or work for you instead of developing the skills to do it yourself. Rather than simply telling you what to do, the system looks at the work or challenge in front of you, identifies the underlying and prerequisite skills involved, and connects you to explanations, lessons, tutoring dialogues, examples, practice, and other resources designed to help you build those skills first and then do the work yourself.

The AI tools are built around specialized roles with the skills for that role built in. For example, the Grade-Level Team Gateway works like having an experienced grade-level team ready to look at your problem and help identify the skills involved—you bring the situation, and the system helps figure out what knowledge and skills matter.

The Gateway tools are built around archetypal expert teams. A Grade-Level Team Gateway, for example, brings together the kinds of skill bases an ideal grade-level team might draw on—academic subjects, literacy, writing, executive functioning, access, and other relevant areas. Instead of becoming better at asking AI for answers, the goal is to help the learner become better at actually doing the work.

NASR stands for Needs-Aligned Skills Retrieval. It is the method used to look at the meaning and demands of a task, work sample, text, or situation and ask, “What skills does this person or task actually require?”

NASR helps retrieve a limited set of relevant skills, separate what is clearly visible from what is only possible, check for earlier prerequisite skills, and connect the user to learning resources where they are available. You do not have to know the technical name of the skill before asking for help—the system helps you find it.

Underlying skills are the smaller abilities hiding inside a larger task or problem. A student struggling with chemistry, for example, might understand the chemistry idea but be having trouble with unit conversion, reading directions, organizing several steps, or explaining the reasoning clearly. By identifying the smaller skill underneath the struggle, you can focus instruction where it is actually needed instead of reteaching the whole subject or labeling someone as “bad at” it.

Prerequisite skills are the building blocks that usually come before a more advanced skill. If someone is struggling with a difficult task, the best next move may not be more practice with the difficult task—it may be strengthening one of the earlier skills that task depends on.

For example, a complex chemistry problem may depend on understanding moles, converting units, reading ratios, and organizing multistep calculations. Finding that earlier missing foundation can stop the frustrating cycle of giving someone more advanced practice when the real problem is underneath it.

It starts with the evidence that is actually there. The system looks at the task or situation, breaks it into visible parts—such as steps, claims, calculations, decisions, errors, omissions, or actions—and then retrieves a limited set of skills that appear meaningfully related.

It also separates different kinds of findings. A skill may be required by the assignment, clearly demonstrated, partly demonstrated, connected to an observable error, not visible at all, or only a possible prerequisite. That gives you something more useful than “the student is struggling”: you can see what the work actually shows, what it does not show, and what may be worth checking next.

The Skills Library covers thousands of source skill entries across academic, professional, family, and everyday-life areas. These are often very specific skills—not just broad subjects like “math” or “communication.” For example, a learner might work on using context clues, identifying a main idea, organizing an argument, converting units, interpreting ratios, supporting a claim with evidence, estimating travel time, managing a schedule, asking for clarification, actively listening, de-escalating a conflict, communicating with families, giving effective feedback, or explaining a budget decision clearly.

Once you find the skill you need, the goal is to give you different ways to learn or teach it. Depending on what has been developed for that skill, that may include clear explanations, teacher guides, tutoring dialogues, examples, videos, slideshows, infographics, audio, practice, rubrics, and assessments. Instead of searching the internet for something vaguely related to your problem, you can get much more specific: find the skill behind the problem, learn it, practice it, and use it.

Yes. As a special education teacher, I never wanted learning to stop at academics or at graduation. I wanted students and families to be able to think about the whole person and the whole life ahead—including character and personal qualities, communication, decision-making, executive functioning, relationships, career readiness, independence, and practical daily-living skills like budgeting, shopping, transportation, personal care, making appointments, and asking for help.

The larger idea is to help people map out the skills they may need for the life they want to live. Whether someone is preparing to leave school, start a job, live more independently, become a parent, or simply handle a new challenge, they can identify the skills involved, learn them one at a time, practice them, and keep building throughout life.

Yes. In fact, I designed SkillsTeacher.AI to be used in two different ways. You can use it as a standalone system to identify and directly teach individual skills, or you can use its resources and workflows on top of the texts, assignments, assessments, and curriculum you already use.

As a teacher, I know that we often cannot—and may not want to—replace an adopted curriculum. A principal, school, or district may require certain texts and assignments, and individual teachers also have materials they know and trust. SkillsTeacher.AI is meant to strengthen those materials by making the underlying and prerequisite skills visible. Instead of leaving teachers to guess why an assignment is difficult—or allowing important skills to remain hidden, untaught, or overlooked—you can examine the actual assignment and see the skills students may need to successfully complete it.

From there, you can teach the identified skills directly or use the specialized assistants to support the original material. The Text Scaffolder and Leveler can add or adjust supports, the Text Engineer can turn a reading into a structured teaching sequence, the Auto Annotator can add close-reading guidance, and the Lesson, Unit, and Assessment Generators can build instruction around the same skills. The goal is not to replace good curriculum or lower its quality—it is to add a skills layer that helps more students successfully reach it.

You can do both, but I really designed SkillsTeacher.AI around learning skills as you need them in real life. You can certainly work through a subject, topic, or sequence of skills like a traditional course, but you do not have to start by choosing a curriculum and working through it from beginning to end.

Instead, you can bring in the actual situation, assignment, document, question, or problem you are dealing with right now. The system can help uncover the skills involved, connect you to the relevant learning resources, and help you work through the situation while building those skills. That is the larger idea behind SkillsTeacher.AI: learn the skills you need, when you need them, through the real problems and situations where you actually need to use them.