Research Remote Agents

This skill helps the user find A2A-compatible remote agents that match what their project actually needs. A2A (Agent-to-Agent Protocol) does not yet have a mature automated discovery layer — there is no universal registry an agent can query at runtime. So discovery is still a manual research task: someone has to read the project, understand its goals, hunt down candidate agents, and check their Agent Cards. This skill automates that research and hands the user a short, curated list of candidates to choose from.

What this skill does

1. Reads the project to understand its purpose and tech stack.
2. Derives the capabilities a remote agent would need to provide for this project.
3. Searches A2A registries and the web for agents exposing those capabilities.
4. Returns a single paragraph naming 4–5 candidate remote agents, each with a link to its Agent Card (or repo/docs if the card isn't directly linkable).

It does not auto-integrate the agent or write code. It is a research and recommendation step. Integration is a separate, explicit decision the user makes after reviewing candidates.

Step 1 — Understand the project

Read these sources, in this priority order, and stop once you have a clear picture (don't exhaustively read every file in a large repo):