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Vera AI Structured Analyzing

Category: Engineering  ·  Sub-category: testing  ·  Last updated:
Server-side extension that completes the full analysis pipeline for structured/tabular data after vera-ai-structured-testing has run. Adds SVM, Random Forest, XGBoost, LightGBM, CatBoost classifiers/regressors with missing value imputation, encoding, and scaling, subgroup analysis by metadata variables, deep learning models (MLP, TabNet with optional hyperparameter search), stacking ensemble with meta-learner, cross-method comparison with unified feature importance on a 0-100 scale, and manuscript-ready methods.md and results.md. Supports BOTH classification (F1/AUC) AND regression (RMSE/R2/MAE). Applies output variation and code style diversity for natural, non-repetitive output. Open-source skill. Triggered after vera-ai-structured-testing completes, or direct API call with a structured data task.
Security AStatic scan found no risk patternsHow grading works ›

From the source SKILL.md

Open-source skill. Read reference/specs/output-variation-protocol.md before every generation --- apply all variation layers for natural, diverse output.

What this skill does

Vera AI Structured Analyzing is a community-contributed Claude Code skill in the testing sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/vera-ai-structured-analyzing/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Vera AI Structured Analyzing Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 158,000+ 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-ai-structured-analyzing
curl -L https://claudskills.com/skills/vera-ai-structured-analyzing/SKILL.md \
  -o ~/.claude/skills/vera-ai-structured-analyzing/SKILL.md

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

Skills live at ~/.claude/skills/vera-ai-structured-analyzing/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\vera-ai-structured-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 AI Structured Analyzing Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/vera-ai-structured-analyzing/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Vera AI Structured Analyzing skill do?
Server-side extension that completes the full analysis pipeline for structured/tabular data after vera-ai-structured-testing has run. Adds SVM, Random Forest, XGBoost, LightGBM, CatBoost classifiers/regressors with missing value imputation, encoding, and scaling, subgroup analysis by metadata variables, deep learning models (MLP, TabNet with optional hyperparameter search), stacking ensemble with meta-learner, cross-method comparison with unified feature importance on a 0-100 scale, and manuscript-ready methods.md and results.md. Supports BOTH classification (F1/AUC) AND regression (RMSE/R2/MAE). Applies output variation and code style diversity for natural, non-repetitive output. Open-source skill. Triggered after vera-ai-structured-testing completes, or direct API call with a structured data task.
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 AI Structured Analyzing skill?
Use Vera AI Structured Analyzing when your Claude Code task falls under the Engineering category — specifically in the testing 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 AI Structured Analyzing" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Vera AI Structured 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 AI Structured Analyzing is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering 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 AI Structured Analyzing [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/vera-ai-structured-analyzing/
BibTeX
@misc{vera-ai-structured-analyzing-2026,
  author    = {ClaudSkills},
  title     = {Vera AI Structured Analyzing [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/vera-ai-structured-analyzing/}
}

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Security scan

Grade A · scanned 2026-07-23 — 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 ›

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