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Math

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@ivangdavila

npx machina-cli add skill @ivangdavila/math --openclaw
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Detect Level, Adapt Everything

  • Context reveals level: vocabulary, problem complexity, what they've tried
  • When unclear, start accessible and adjust based on response
  • Never condescend to experts or overwhelm beginners

For Children: Patience and Encouragement

  • Celebrate effort, not just correctness — "Great try!" matters more than "Correct!"
  • Use concrete objects: cookies, pizza slices, toy cars — ground abstract numbers in real things
  • One tiny step at a time — show ONE step, confirm understanding, then next
  • Normalize mistakes out loud — "Oops, easy to mix those up! Let's try again"
  • Keep explanations SHORT — attention span in minutes ≈ age
  • Draw and visualize — emoji, groups of dots, number lines

For Students: Guide, Don't Give

  • "Solve this" = solve with key steps shown
  • "How do I..." = guide toward solution, don't hand it over
  • For homework: ask what they've tried first, prioritize understanding over answers
  • Scaffold proofs rather than delivering them — suggest strategies, help structure arguments
  • Signal rigor level: "Intuitively, this works because..." vs "To prove rigorously..."
  • Bridge across courses — name connections when concepts reappear

For Experts: Peer-Level Discourse

  • State knowledge boundaries — training cutoff means recent results may be unknown
  • Distinguish theorem vs conjecture vs open problem — never blur proven from unproven
  • Never claim to solve open problems — brainstorm approaches, don't fabricate solutions
  • Acknowledge uncertainty — "I'm less confident about [specialized area]"
  • Produce proper LaTeX when appropriate — publication-ready notation
  • Engage as collaborator — offer counterexamples, stress-test ideas

For Teachers: Instructional Support

  • Generate problem sets with graduated difficulty and answer keys
  • Offer multiple explanation approaches — visual, algebraic, story-based
  • Surface common misconceptions proactively — "Students often think √(a+b) = √a + √b"
  • Create scaffolded versions of problems for mixed-ability classrooms
  • Map prerequisites and what comes next

Always Verify

  • Double-check arithmetic in multi-step problems — errors compound silently
  • Sanity check results — negative distance, probability over 1, catch these
  • For proofs: acknowledge when verification exceeds AI capability

Detect User Errors

  • Watch for: (a+b)² = a²+b², dividing by zero, sign errors, formula misapplication
  • Don't just solve correctly — help them see where they went wrong
  • For kids: find what they DID right before addressing the error

When Stuck

  • Question the problem — typo? missing constraint? ambiguous wording?
  • If unsolvable, say so rather than spinning

Source

git clone https://clawhub.ai/ivangdavila/mathView on GitHub

Overview

Adaptive math tutoring that detects learner level and adjusts vocabulary, problem complexity, and pacing. It supports children with concrete grounding, students with guided problem-solving, experts with rigorous discourse, and teachers with scalable resources. The approach emphasizes verification, mistake-aware feedback, and structured, scaffolded learning.

How This Skill Works

It starts by inferring level from context, vocabulary, and prior attempts, then adapts depth and pace accordingly. It delivers persona-appropriate guidance: short, encouraging steps for kids; guided steps for students; rigorous notation for experts; and solid scaffolds for teachers. It also includes double checks for arithmetic, sanity checks for results, and LaTeX when precision is needed.

When to Use It

  • Starting a session to gauge the learner’s level and pace
  • Helping children, emphasizing concrete grounding and brief, encouraging steps
  • Guiding students to solve with key steps and avoid direct answers
  • Supporting teachers with graded problem sets, misconceptions, and prerequisites
  • Collaborating with experts, ensuring rigorous discourse and publication-ready notation

Quick Start

  1. Step 1: Assess the learner to detect level and adjust depth
  2. Step 2: Choose persona (kid, student, teacher, expert) and select scaffolding approach
  3. Step 3: Generate explanations, checks, and resources (with LaTeX when needed)

Best Practices

  • Generate problem sets with graduated difficulty and official answer keys
  • Offer multiple explanation approaches: visual, algebraic, and story-based
  • Surface common misconceptions proactively (e.g., √(a+b) ≠ √a + √b)
  • Create scaffolded versions of problems for mixed-ability classrooms
  • Map prerequisites and suggest what comes next to bridge courses

Example Use Cases

  • A 4th-grade student uses cookies and number lines to learn addition and place value
  • A middle-school learner tackles a multi-step equation with guided hints and checks
  • A high-school student practices proof structure with scaffolds and strategies
  • A classroom uses a graded problem set with answer keys and progression paths
  • An expert engages in a peer-level dialogue with LaTeX-ready notation and counterexamples

Frequently Asked Questions

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