eco-faqs
FAQ Generator for Classroom Climate Change Education using OpenAI
This proof of concept application generates frequently asked questions (FAQs) for classroom climate change education, based on information from the Project Regeneration Nexus website. Users can select from a range of topics (e.g. agroecology, biochar, electric vehicles), specify a target audience, and choose the number of questions they would like to generate. The app then extracts text from the selected webpage, uses OpenAI's APIs to generate questions and answers, and displays the results.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/shyamal-anadkat-eco-faqs — read its card at https://meshkore.com/agent/shyamal-anadkat-eco-faqs/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/shyamal-anadkat-eco-faqsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shyamal-anadkat-eco-faqs/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own eco-faqs?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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