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ClaudSkills / Science & Research / math-stats

Mathguard

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
Use when working with large-scale data, similarity search, deduplication, top-K / heavy-hitters, streaming analytics, cardinality estimation, embeddings, recommender systems, signal/image processing, polynomial or big-integer arithmetic, convolution, graph distance, computational geometry, randomized algorithms, or any problem with n >= 10^6 where exact computation is wasteful. Recognizes when classical algorithms hit their lower bound and an approximate or math-heavy technique (Bloom filter, HyperLogLog, Count-Min Sketch, MinHash/LSH, FFT/NTT, Johnson-Lindenstrauss projection, sweep line, kd-tree/BVH, fast exponentiation, monoid parallel reduction, amortized potential method) gives an asymptotic win. Load after lemmaly when a classical O(n log n) is the floor but smarter math wins.
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From the source SKILL.md

lemmaly makes you pick the right classical algorithm. mathguard kicks in when the classical algorithm is already optimal but mathematics gives a better bound — usually by accepting bounded approximation, exploiting structure, or moving to a smarter algebraic space.

What this skill does

Mathguard is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/mathguard/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when working with large-scale data, similarity search, deduplication, top-K / heavy-hitters, streaming analytics, cardinality estimation, embeddings, recommender systems, signal/image processing, polynomial or big-integer arithmetic, convolution, graph distance, computational geometry, randomized algorithms, or any problem with n >= 10^6 where exact computation is wasteful. Recognizes when classical algorithms hit their lower bound and an approximate or math-heavy technique (Bloom filter, HyperLogLog, Count-Min Sketch, MinHash/LSH, FFT/NTT, Johnson-Lindenstrauss projection, sweep line, kd-tree/BVH, fast exponentiation, monoid parallel reduction, amortized potential method) gives an asymptotic win.

Who uses this skill

The Mathguard Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 161,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/mathguard
curl -L https://claudskills.com/skills/mathguard/SKILL.md \
  -o ~/.claude/skills/mathguard/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/mathguard/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/mathguard/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\mathguard\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Mathguard Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/mathguard/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Mathguard skill do?
Use when working with large-scale data, similarity search, deduplication, top-K / heavy-hitters, streaming analytics, cardinality estimation, embeddings, recommender systems, signal/image processing, polynomial or big-integer arithmetic, convolution, graph distance, computational geometry, randomized algorithms, or any problem with n >= 10^6 where exact computation is wasteful. Recognizes when classical algorithms hit their lower bound and an approximate or math-heavy technique (Bloom filter, HyperLogLog, Count-Min Sketch, MinHash/LSH, FFT/NTT, Johnson-Lindenstrauss projection, sweep line, kd-tree/BVH, fast exponentiation, monoid parallel reduction, amortized potential method) gives an asymptotic win. Load after lemmaly when a classical O(n log n) is the floor but smarter math wins.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Mathguard skill?
Use Mathguard when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Mathguard" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Mathguard skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Mathguard is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
morsechimwai. (2026). Mathguard [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/mathguard/
BibTeX
@misc{mathguard-2026,
  author    = {morsechimwai},
  title     = {Mathguard [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/mathguard/}
}

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Security scan

Grade A · scanned 2026-07-26 — free static scan against the OWASP Agentic Skills Top 10.

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