Structured guidance for designing, executing, and analyzing content experiments to improve conversion and engagement.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add sanity-io/agent-toolkit --skill content-experimentation-best-practicesCompatible with
Supported agents
Covers hypothesis frameworks, metric selection, sample size calculation, and statistical significance testing across A/B and multivariate experiments
Includes detailed resources on p-values, confidence intervals, power analysis, and Bayesian methods for interpreting results
Provides CMS integration patterns for managing variants at the field level and connecting exter
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncontent-experimentation-best-practicesExecute the skills CLI command in your project's root directory to begin installation:
epx add sanity-io/agent-toolkit --skill content-experimentation-best-practicesFetches content-experimentation-best-practices from sanity-io/agent-toolkit and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/content-experimentation-best-practices
Restart Cursor to activate content-experimentation-best-practices. Access via /content-experimentation-best-practicesin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: content-experimentation-best-practices is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: content-experimentation-best-practices is focused, and the summary matches what you get after install.
Registry listing for content-experimentation-best-practices matched our evaluation — installs cleanly and behaves as described in the markdown.
content-experimentation-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
content-experimentation-best-practices reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: content-experimentation-best-practices is focused, and the summary matches what you get after install.
content-experimentation-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
content-experimentation-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: content-experimentation-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: content-experimentation-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.
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