Claude Code Skills·Claude Skills·The open SKILL.md registry for Claude
ClaudSkills / Science & Research / math-stats

Math Graph Knowledge

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
USE FOR: Graph theory, knowledge graphs, ontology engineering, provenance structures, network analysis, and formal knowledge representation. Use for mathematical reasoning about DAGs, KGs, trust networks, provenance chains, and any graph-structured knowledge. Covers both pure graph theory and applied knowledge graph methodology. DO NOT USE FOR: KRR / symbolic AI (use @ai-symbolic-neuro); causal DAGs (use @ai-causal-deontic); discrete math (use @lean-math-discrete). TRIGGERS: graph theory, knowledge graph, ontology, provenance, network analysis, formal knowledge representation.

About this skill (catalog notes)

Math Graph Knowledge is published as a SKILL.md file in this catalog. The SKILL.md is on the shorter side at about 325 words.

Source
github.com/r-irbe/proof-skills
License
Apache-2.0
Original author
r-irbe
Indexed lastmod
Catalog position
Science & Research · math-stats
Indexed related skills
10

How Math Graph Knowledge fits the catalog

Math Graph Knowledge sits in the Science & Research category under the math-stats sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

Graph-theoretic and knowledge representation foundations for provenance chains, trust networks, knowledge lifecycles, and causal reasoning structures.

What this skill does

Math Graph Knowledge 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/math-graph-knowledge/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Math Graph Knowledge 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 93,000+ 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/math-graph-knowledge
curl -L https://claudskills.com/skills/math-graph-knowledge/SKILL.md \
  -o ~/.claude/skills/math-graph-knowledge/SKILL.md

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

Skills live at ~/.claude/skills/math-graph-knowledge/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\math-graph-knowledge\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 Math Graph Knowledge Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/math-graph-knowledge/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Math Graph Knowledge skill do?
USE FOR: Graph theory, knowledge graphs, ontology engineering, provenance structures, network analysis, and formal knowledge representation. Use for mathematical reasoning about DAGs, KGs, trust networks, provenance chains, and any graph-structured knowledge. Covers both pure graph theory and applied knowledge graph methodology. DO NOT USE FOR: KRR / symbolic AI (use @ai-symbolic-neuro); causal DAGs (use @ai-causal-deontic); discrete math (use @lean-math-discrete). TRIGGERS: graph theory, knowledge graph, ontology, provenance, network analysis, formal knowledge representation.
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 Math Graph Knowledge skill?
Use Math Graph Knowledge 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 Math Graph Knowledge" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Math Graph Knowledge 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. Math Graph Knowledge 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
r-irbe. (2026). Math Graph Knowledge [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/math-graph-knowledge/
BibTeX
@misc{math-graph-knowledge-2026,
  author    = {r-irbe},
  title     = {Math Graph Knowledge [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/math-graph-knowledge/}
}

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