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submission/PLUGIN_SUBMISSION.md

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# Ohana Public Plugin Submission Packet

## Plugin type
Skills-only

## Plugin name
Ohana

## Short description
Turns classroom observations into developmental classifications and warm, family-ready documentation using the Experience Early Learning Continuum and the Our Ohana Village voice.

## Long description
Ohana helps early-childhood educators turn classroom observations, photos, and screenshots into concise developmental documentation. It grounds classification in the Experience Early Learning Continuum and rewrites the result in the warm, direct, family-friendly Our Ohana Village voice. The skill is designed to avoid inventing observations, to verify classifications against the reference continuum, and to keep family-facing notes clear and concise.

## Category
Education

## Publisher identity
REQUIRED FROM OWNER: select your verified individual or business identity in the OpenAI Platform submission portal.

## Website
REQUIRED FROM OWNER: add the public website URL for the publishing organization.

## Support URL
REQUIRED FROM OWNER: add the public support/contact URL.

## Privacy policy URL
REQUIRED FROM OWNER: add the public privacy policy URL.

## Terms URL
REQUIRED FROM OWNER: add the public terms URL.

## Availability
REQUIRED FROM OWNER: choose the countries/regions where the plugin should be available.

## Logo
Use: `assets/ohana-logo.svg`

## Icon
Use: `assets/ohana-icon.png`

## Starter prompts
1. Upload these observation photos and document what this child is showing developmentally.
2. Classify this observation using the Experience Early Learning Continuum.
3. Turn this classroom observation into a concise family-ready note.
4. Review whether this proposed Continuum classification matches the observed behavior.

## Release notes
Initial public release of Ohana, a skills-only early-childhood observation and documentation workflow using the Experience Early Learning Continuum and Our Ohana Village voice guidance.

## Submission type
Choose: **Skills only**

SHA-256: 4ff44f366953e9875841b4415d068cec503b63a47a284e339de2e4b58ed9e282