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submission/PLUGIN_SUBMISSION.md
1.96 KB · Oct 5, 2026 · 18:35 UTC
# 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**
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