ClaudSkills / General / general-misc

Grad Pls Sem

Category: General  ·  Sub-category: general-misc  ·  Last updated:
Apply Partial Least Squares SEM (PLS-SEM) with reflective and formative measurement models to maximize explained variance in endogenous constructs. Use this skill when the user has small samples, formative indicators, or exploratory models, needs to assess AVE/CR/HTMT, or when they ask 'should I use PLS or CB-SEM', 'how do I handle formative constructs', or 'what is the path coefficient significance'.

What this skill does

Grad Pls Sem 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/grad-pls-sem/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Grad Pls Sem skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It is part of the open ClaudSkills registry, a community-curated catalog of 56,000+ capabilities you can install for Claude Code — the Claude CLI agent.

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/grad-pls-sem
curl -L https://claudskills.com/skills/grad-pls-sem/SKILL.md \
  -o ~/.claude/skills/grad-pls-sem/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/grad-pls-sem/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/grad-pls-sem/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\grad-pls-sem\SKILL.md on Windows. See the full install guide for step-by-step instructions.

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.

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Part of ClaudSkills — the open registry for Claude Code skills.  ·  What's New  ·  Install guide  ·  About  ·  llms.txt

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