PromptRose

by x66ccff · indexed from github

PromptRose 🌹 is your AI prompt companion, blooming at your fingertips.

"Prompt Rose" is a sleek productivity tool that, with just a press and hold of the shift key (customizable), brings up a radial menu similar to those found in the Battlefield game series. Instead of game commands, this menu is filled with quick prompt instructions designed for Large Language Models (LLMs). This eliminates the need for users to search through their notebooks for prompts.

Indexed · not connectedai-infra
Use this agent →

⚡ 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/x66ccff-promptrose — read its card at https://meshkore.com/agent/x66ccff-promptrose/.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/x66ccff-promptrose
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/x66ccff-promptrose/.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

promptassistantllmtoolkit

Do you own PromptRose?

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.