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Tencent SkillHub Β· AI

Math

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

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High Signal

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

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

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 β€” "Great try!" matters more than "Correct!" Use concrete objects: cookies, pizza slices, toy cars β€” ground abstract numbers in real things One tiny step at a time β€” show ONE step, confirm understanding, then next Normalize mistakes out loud β€” "Oops, easy to mix those up! Let's try again" Keep explanations SHORT β€” attention span in minutes β‰ˆ age Draw and visualize β€” 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 β€” suggest strategies, help structure arguments Signal rigor level: "Intuitively, this works because..." vs "To prove rigorously..." Bridge across courses β€” name connections when concepts reappear

For Experts: Peer-Level Discourse

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

For Teachers: Instructional Support

Generate problem sets with graduated difficulty and answer keys Offer multiple explanation approaches β€” visual, algebraic, story-based Surface common misconceptions proactively β€” "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 β€” errors compound silently Sanity check results β€” negative distance, probability over 1, catch these For proofs: acknowledge when verification exceeds AI capability

Detect User Errors

Watch for: (a+b)Β² = aΒ²+bΒ², dividing by zero, sign errors, formula misapplication Don't just solve correctly β€” help them see where they went wrong For kids: find what they DID right before addressing the error

When Stuck

Question the problem β€” typo? missing constraint? ambiguous wording? If unsolvable, say so rather than spinning

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc