Design educational content with try-first prompts before explanations.
npx skills add https://github.com/dbosk/claude-skills --skill try-first-tell-later
Please help me install this Agent Skill. Skill: try-first-tell-later Source: https://github.com/dbosk/claude-skills/tree/main/try-first-tell-later Command: npx skills add https://github.com/dbosk/claude-skills --skill try-first-tell-later
Traditional "tell-first" teaching often leads to passive learning and superficial understanding. This skill helps educators design materials that actively engage learners by prompting them to think, predict, or attempt solutions before receiving explanations, leading to deeper understanding and better retention.
def function_name(), this skill would guide you to first ask, "How would you create a reusable piece of code in Python that takes inputs and returns a result?"Help me design an educational module for Python functions using the try-first-tell-later pedagogy.
High-intent search queries and answers about installing and using this skill.
Active learning design uses try-first prompts—asking learners to predict, reason, or attempt solutions before receiving explanations. This approach builds deeper understanding and retention by engaging cognitive struggle before instruction, particularly effective for tutorials, lesson plans, and problem sets across any subject.
Try-first pedagogy implements seven distinct prompt types that guide learners through prediction, design, and reasoning tasks before content delivery. These patterns, grounded in variation theory and productive failure, create varied cognitive engagement and make critical learning concepts visible through contrast between student thinking and expert knowledge.
Yes, try-first pedagogy applies to diverse educational formats including Beamer presentations, LaTeX documents, tutorials, lecture notes, and training scenarios. It restructures content delivery by inserting prediction or reasoning prompts before explanations, making existing materials more cognitively engaging without requiring new formats.
Variation theory uses double contrast—highlighting differences between student attempts and expert explanations—to help learners discern critical concepts. When integrated with try-first prompts, this contrast makes learning visible and deepens understanding of underlying principles and their applications.
Tell-first instruction delivers explanations before learners engage with content, often resulting in passive learning and surface-level retention. Try-first teaching flips this sequence, asking learners to attempt, predict, or reason first, which activates prior knowledge, encourages productive struggle, and supports deeper understanding through retrieval practice.
Use try-first pedagogy when designing materials where deeper conceptual understanding and retention matter more than quick information transfer. It suits complex problem-solving, concept mastery, and skill development in tutorials, lessons, and training—contexts where productive failure and cognitive engagement yield better learning outcomes than immediate explanations.
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