statistical-analysis
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
This skill ships only metadata — no inline instructions. See the source repo for details.
Install this skill
One command (all agents)
Runs the npx skills CLI which auto-detects every AI coding agent you have installed (Claude Code, Cursor, Codex, OpenCode, Windsurf, Copilot, and 51 more).
npx skills add https://github.com/anthropics/knowledge-work-pluginsAlternative: shorthand form
npx skills add anthropics/knowledge-work-pluginsInstall to a specific agent
Pick the agent you use. The CLI writes the skill to that agent's standard skill directory.
npx skills add anthropics/knowledge-work-plugins --agent claude-codenpx skills add anthropics/knowledge-work-plugins --agent cursornpx skills add anthropics/knowledge-work-plugins --agent codexnpx skills add anthropics/knowledge-work-plugins --agent opencodenpx skills add anthropics/knowledge-work-plugins --agent github-copilotnpx skills add anthropics/knowledge-work-plugins --agent windsurfManual install (no CLI)
Prefer to skip the CLI? Clone the repo and drop the skill folder into your agent's skills directory.
git clone https://github.com/anthropics/knowledge-work-plugins.gitcp -r knowledge-work-plugins ~/.claude/skills/ For other agents, replace ~/.claude/skills/ with their skill directory — see the full list.
Use it
Once installed, ask your agent to "use the statistical-analysis skill" or describe what you want (e.g. "Apply statistical methods including descriptive stats, trend analysis, outlier d"). Most agents auto-discover the skill from its SKILL.md description — no slash command needed.
npx skills. Skill files are MIT-style permissive by default — check the source repo for the actual license.
SKILL.md source
--- name: statistical-analysis description: Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, compu ---
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