Math

Teach, solve, and explore mathematics across all levels with adaptive depth and rigor.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
3 · 2.5k · 8 current installs · 8 all-time installs
byIván@ivangdavila
MIT-0
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Purpose & Capability
Name/description (teach and solve math) match the SKILL.md guidance (teaching strategies for children, students, experts, teachers); nothing in the package asks for unrelated access.
Instruction Scope
Runtime instructions are limited to pedagogical behavior and problem-solving guidance; they do not direct the agent to read files, access environment variables, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only), so nothing will be written to disk or fetched at install time.
Credentials
The skill declares no required environment variables, credentials, or config paths — proportional and minimal for a tutoring skill.
Persistence & Privilege
always is false and the skill does not request system or cross-skill configuration changes; autonomous invocation is allowed by platform default but presents no additional risk here.
Assessment
This skill is instruction-only and coherent with its stated purpose. It's low-risk from an install/credential perspective, but remember: (1) LLMs can still make arithmetic or reasoning errors — double-check critical calculations and proofs; (2) avoid submitting sensitive personal data to any tutoring session; and (3) test the skill with a few sample problems to confirm its style and rigor meet your needs before relying on it for high-stakes work.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
Download zip
latestvk972rgksqrb1bh3qpmpbk4k2g980wrbj

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

🔢 Clawdis
OSLinux · macOS · Windows

SKILL.md

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

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