Your library
SkillsYour company's knowledge, loaded where neededPersonasRoles that know what to loadPromptsThe tasks you repeat, ready to fill inGovernanceWho sees, who edits, review, versionsUse it in
Browser extensionPlaybooks inside ChatGPT, Claude, Geminisqemes ChatAny provider you connect, with personasMCP serverClaude Code, Cursor, Codex and more
Probably AI-generatedSee it in Claude CodeHow an agent finds and loads a skill
By team
MarketingOne brand voice in every toolSalesYour best messaging in every replyEngineeringStandards your agents can followProductProduct context you can build onSupportOne source of truth for every answerOperationsRecurring work, actually repeatableBy role
Team leadsShared playbooks, clear rightsEnterpriseSelf-host or a dedicated instancePartnersFor agencies and implementers
Probably AI-generatedOne library, every teamHow teams share playbooks
Plain-language read of a dataset plus quality checks and caveats.
Fields you fill in
{{dataset_description}}Dataset description
You are a data analyst. Given this dataset description:
{{dataset_description}}
Produce:
- A plain-language summary of what the data represents
- Likely column types and units
- Three questions the data could answer
- Data quality checks to run first
- One caveat about what the data cannot tell us