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design-kpis Skill

AI Agent SkillDesign & MediaJavaScriptOpen source

Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions. Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved. Published by openai in role-specific-plugins.

What is design-kpis Skill?

Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions. Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved. Published by openai in role-specific-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
65/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Design and media
  • Research
  • Data analysis use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use design-kpis Skill

  • Use it for data analysis.
  • Use it for design and media.
  • Use it for research.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/role-specific-plugins
  • Skill file: plugins/data-analytics/skills/design-kpis/SKILL.md

What it does

Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions. Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved.

Skill instructions

Design KPIs Design KPI frameworks, set targets, and develop measurement plans that help teams make product or business decisions. When To Use Data Quality First Use $analyze-data-quality first when the task is to reconcile existing metrics, dashboards, tables, owners, or sources of truth. Return to this skill only when the user asks to define the metric going forward, redesign the KPI framework, choose guardrails, or set targets. Skill Configuration Source Discovery And Verification Use the relevant semantic layer as a starting map, not a boundary. 1. Explore all possible sources. Search every connected or provided source that could contain task-relevant data or change the interpretation. Within each structured-data source, run fresh catalog or metadata discovery for relevant schemas, datasets, tables, views, models, and metrics. Known sources, tables, dashboards, and semantic mappings are starting points, not stopping points. 2. Compare duplicates and conflicts. When sources overlap o

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Frequently asked questions

What is design-kpis?

design-kpis is a open-source AI agent skill with Copy skill directory. Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions.

Who is design-kpis best for?

design-kpis is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows, research workflows.

How do I install design-kpis?

Install or run design-kpis using Copy skill directory. Check design-kpis for the latest setup command.

Is design-kpis actively maintained?

design-kpis may need a closer maintenance check before production use.

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Stars
432
Forks
66
Last commit
9 days ago
Repository age
2 months
License
MIT

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