Standardized Region Export For Deep Learning includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); pricing or quota commentary. The SKILL.md runs to about 820 words, in the catalog's typical mid-range.
Standardized Region Export For Deep Learning sits in the General category under the general-misc 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.
Standardized Region Export For Deep Learning is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/standardized-region-export-for-deep-learning/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when you have LC-HRMS profile-mode data with detected local maxima (from gradient-descent peak finding) and need to prepare them as input for a convolutional neural network trained to classify peaks vs. background signal or to estimate peak boundaries and centers.
The Standardized Region Export For Deep Learning Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 146,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
mkdir -p ~/.claude/skills/standardized-region-export-for-deep-learning curl -L https://claudskills.com/skills/standardized-region-export-for-deep-learning/SKILL.md \ -o ~/.claude/skills/standardized-region-export-for-deep-learning/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/standardized-region-export-for-deep-learning/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/standardized-region-export-for-deep-learning/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\standardized-region-export-for-deep-learning\SKILL.md on Windows. See the full install guide for step-by-step instructions.
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 →
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.
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
SKILL.md from the source repository to ~/.claude/skills/standardized-region-export-for-deep-learning/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.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. Standardized Region Export For Deep Learning is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.If you reference this skill in a blog post, paper, or documentation, you can cite it as:
@misc{standardized-region-export-for-deep-learning-2026,
author = {HolobiomicsLab},
title = {Standardized Region Export For Deep Learning [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/standardized-region-export-for-deep-learning/}
}Grade A · scanned 2026-07-06 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
Browse all General skills in the ClaudSkills registry, or explore these other picks from the same category:
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SKILL.md files, not affiliated with, endorsed by, or sponsored by Anthropic.