pmstack
Gstack for PMs -> PM Toolkit for AI Era.
An eval is how you prove an AI feature is actually good — and stays good after the next model update. In 2025 it became the line between a real AI PM and one who ships and hopes (OpenAI's CPO, Lenny, and a16z all said as much). But every eval tool is built for ML engineers: dashboards, SDKs, CI pipelines. pmstack is the one a PM runs. Here, /eval is a command — not a $2,000 course.
⚡ 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/ryanalberts-pmstack — read its card at https://meshkore.com/agent/ryanalberts-pmstack/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/ryanalberts-pmstackFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ryanalberts-pmstack/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own pmstack?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.