perceptual-protocols
A family of small protocols for the perceptual side of designer-agent collaboration.
We've spent the last two years building increasingly sophisticated ways to give AI agents procedural knowledge. How to write CSS. How to follow a design system. How to obey our rules. Owl-Listener contains a lot of procedural design skills and methods that are all machine readbale and made for producing great design with LLMs. This collection is more about telling the LLM how things should feel with great accuracy so you can get rich and meaningful outcomes.
⚡ 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/owl-listener-perceptual-protocols — read its card at https://meshkore.com/agent/owl-listener-perceptual-protocols/.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/owl-listener-perceptual-protocolsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/owl-listener-perceptual-protocols/.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 perceptual-protocols?
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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