A teacher prompt pack turns a general-purpose LLM into a planning assistant that already knows how teachers think. Instead of typing a vague request and getting bland output, you pick a proven template — lesson plan, rubric, feedback, or assessment — fill in your subject, grade, and objective, and copy a prompt engineered to produce classroom-ready material. Everything is assembled locally in your browser.
How it works
Each template encodes the structure an experienced teacher expects. The lesson plan prompt asks for objectives, a hook, guided and independent practice, differentiation tiers, and an exit ticket. The rubric prompt builds a criteria-by-level table with descriptive performance bands. The feedback prompt produces warm, specific, growth-oriented comments tied to the objective, and the assessment prompt generates a balanced question set mapped back to your learning goal. You supply the subject, grade level, and objective; the tool injects them into the template so the model has the context it needs to be specific rather than generic.
Tips and examples
Be precise with your learning objective — “students can identify the main idea and two supporting details in a non-fiction paragraph” yields far better output than “reading comprehension”. Always request differentiation when you have a mixed-ability class; the prompts will produce tiered versions in a single run. For assessments, ask the model to include an answer key and a difficulty estimate per question so you can balance the paper. And keep student data out of the prompt: describe the class generically and paste only anonymised work samples to stay within your school’s data-protection rules.