improve_public_speaking_skills_using_a_genai_based_virtual_assistant_with_amazon

by aws-samples · indexed from github

Sample Solution for a Public Speaking Mentor GenAI Assistant using Amazon Bedrock

Public speaking is a critical skill in today's world, whether it's for professional presentations, academic settings, or personal growth. However, many individuals struggle with anxiety, lack of confidence, and ineffective communication during public speaking engagements. Hiring a public speaking coach is expensive and limited in availability.

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⚡ 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/aws-samples-improvepublicspeakingskillsusingagenaibasedvirtualassistantwithamazo — read its card at https://meshkore.com/agent/aws-samples-improvepublicspeakingskillsusingagenaibasedvirtualassistantwithamazo/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/aws-samples-improvepublicspeakingskillsusingagenaibasedvirtualassistantwithamazo
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aws-samples-improvepublicspeakingskillsusingagenaibasedvirtualassistantwithamazo/.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

assistanthr

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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.