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ClaudSkills / Science & Research / research-methods

Vera Stat Count Analyzing

Category: Science & Research  ·  Sub-category: research-methods  ·  Last updated:
Server-side extension that completes the full analysis pipeline for count outcome variables after vera-stat-count-testing has run. Adds remaining hypothesis tests (additional group comparisons, continuous predictor correlations), subgroup analysis with stratified rate ratios and interaction tests, full modeling (Poisson, Negative Binomial, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Hurdle, tree-based exploratory), and model comparison with unified variable importance. Generates manuscript-ready methods.md and results.md with formatted tables, publication-quality figures, and references.bib. Applies output variation and code style variation for natural, non-repetitive output. Triggered after vera-stat-count-testing completes, or direct request with a count outcome variable.
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From the source SKILL.md

Open-source skill. Read reference/specs/output-variation-protocol.md before every generation — apply all variation layers.

What this skill does

Vera Stat Count Analyzing is a community-contributed Claude Code skill in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/vera-stat-count-analyzing/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Vera Stat Count Analyzing 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/vera-stat-count-analyzing
curl -L https://claudskills.com/skills/vera-stat-count-analyzing/SKILL.md \
  -o ~/.claude/skills/vera-stat-count-analyzing/SKILL.md

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

Skills live at ~/.claude/skills/vera-stat-count-analyzing/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\vera-stat-count-analyzing\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.

See pricing → Download desktop app

Frequently asked questions

How do I install the Vera Stat Count Analyzing Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/vera-stat-count-analyzing/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Vera Stat Count Analyzing skill do?
Server-side extension that completes the full analysis pipeline for count outcome variables after vera-stat-count-testing has run. Adds remaining hypothesis tests (additional group comparisons, continuous predictor correlations), subgroup analysis with stratified rate ratios and interaction tests, full modeling (Poisson, Negative Binomial, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Hurdle, tree-based exploratory), and model comparison with unified variable importance. Generates manuscript-ready methods.md and results.md with formatted tables, publication-quality figures, and references.bib. Applies output variation and code style variation for natural, non-repetitive output. Triggered after vera-stat-count-testing completes, or direct request with a count outcome variable.
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 Vera Stat Count Analyzing skill?
Use Vera Stat Count Analyzing when your Claude Code task falls under the Science & Research category — specifically in the research methods 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 Vera Stat Count Analyzing" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Vera Stat Count Analyzing 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. Vera Stat Count Analyzing 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/.

Cite this skill

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

APA
ClaudSkills. (2026). Vera Stat Count Analyzing [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/vera-stat-count-analyzing/
BibTeX
@misc{vera-stat-count-analyzing-2026,
  author    = {ClaudSkills},
  title     = {Vera Stat Count Analyzing [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/vera-stat-count-analyzing/}
}

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More Science & Research skills

Browse all Science & Research skills in the ClaudSkills registry, or explore these other picks from the same category:

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