market-sizing Skill
Estimate market, segment, or opportunity size with transparent assumptions and uncertainty. Use for TAM/SAM/SOM, sizing scenarios, or comparing the scale of possible opportunities. Published by openai in role-specific-plugins.
Decision snapshot
Is this a fit?
Testing, Data analysis, Research, Includes SKILL.md
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
2 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is market-sizing Skill?
Estimate market, segment, or opportunity size with transparent assumptions and uncertainty. Use for TAM/SAM/SOM, sizing scenarios, or comparing the scale of possible opportunities. 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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Data analysis
- Research
- Testing use cases
- Data analysis use cases
Declared skill metadata
- Source file: plugins/data-analytics/skills/market-sizing/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use market-sizing Skill
- Use it for testing.
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/role-specific-plugins
- Skill file: plugins/data-analytics/skills/market-sizing/SKILL.md
What it does
Estimate market, segment, or opportunity size with transparent assumptions and uncertainty. Use for TAM/SAM/SOM, sizing scenarios, or comparing the scale of possible opportunities.
Skill instructions
Related Skills Use $visualize-data when the sizing result needs a chart or figure. Use $build-report to package the final estimate, assumptions, sensitivity, caveats, and source context whenever this skill is selected, unless the user explicitly requests an inline, chat-only, brief/no-artifact answer, asks not to create a report/file/artifact, or selects another primary artifact. Market Sizing Use this skill to produce a defensible estimate of a market or opportunity from connected context, public sources, transparent assumptions, and auditable calculations. The job is to define the market, choose a sound sizing method, distinguish evidence from assumptions, test sensitivity, and state what would most improve confidence. 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. Withi
Verified compatibility and discovery
Frequently asked questions
What is market-sizing?
market-sizing is a open-source AI agent skill with Copy skill directory. Estimate market, segment, or opportunity size with transparent assumptions and uncertainty. Use for TAM/SAM/SOM, sizing scenarios, or comparing the scale of possible opportunities.
Who is market-sizing best for?
market-sizing is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows, research workflows.
How do I install market-sizing?
Install or run market-sizing using Copy skill directory. Check market-sizing for the latest setup command.
Is market-sizing actively maintained?
market-sizing may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
