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ClaudSkills / Science & Research / math-stats

Math Time Series

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
USE FOR: Time series analysis, signal processing, temporal pattern detection, and multi-scale temporal dynamics. Use for mathematical reasoning about time-varying data, smoothing, derivative estimation, spectral analysis, changepoint detection, and temporal trajectory computation. Covers both theory and computational methodology. DO NOT USE FOR: measure-theoretic / probabilistic basis (use @math-measure-probability); Lean proofs (use @lean-math-stochastic); nonlinear dynamics (use @math-nonlinear-dynamics). TRIGGERS: time series, signal processing, temporal pattern, multi-scale temporal, spectral analysis.

About this skill (catalog notes)

Math Time Series is published as a SKILL.md file in this catalog. The SKILL.md is on the shorter side at about 327 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 Time Series fits the catalog

Math Time Series 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

Comprehensive methodology for temporal mathematics — the computational backbone of phase trajectory computation, early warning signal detection, and multi-timescale architectures.

What this skill does

Math Time Series 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-time-series/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Math Time Series 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-time-series
curl -L https://claudskills.com/skills/math-time-series/SKILL.md \
  -o ~/.claude/skills/math-time-series/SKILL.md

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

Skills live at ~/.claude/skills/math-time-series/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\math-time-series\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 Time Series Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/math-time-series/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Math Time Series skill do?
USE FOR: Time series analysis, signal processing, temporal pattern detection, and multi-scale temporal dynamics. Use for mathematical reasoning about time-varying data, smoothing, derivative estimation, spectral analysis, changepoint detection, and temporal trajectory computation. Covers both theory and computational methodology. DO NOT USE FOR: measure-theoretic / probabilistic basis (use @math-measure-probability); Lean proofs (use @lean-math-stochastic); nonlinear dynamics (use @math-nonlinear-dynamics). TRIGGERS: time series, signal processing, temporal pattern, multi-scale temporal, spectral analysis.
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 Time Series skill?
Use Math Time Series 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 Time Series" 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 Time Series 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 Time Series 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 Time Series [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/math-time-series/
BibTeX
@misc{math-time-series-2026,
  author    = {r-irbe},
  title     = {Math Time Series [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/math-time-series/}
}

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