agent-blueprint-discovery

name	agent-blueprint-discovery
description	Use when a domain problem may benefit from an existing AI agent implementation, including the 500+ AI Agents catalogue. Discover blueprints, inspect the exact linked repository and recommend reuse, adaptation or rejection. Never deploy a catalogue entry blindly.

Agent Blueprint Discovery

1. Define the required agent outcome, users, data, tools, autonomy and controls.
2. Search the approved catalogue, including 500+ AI Agent Projects.
3. Open the exact linked implementation.
4. Verify:
   • licence;
   • maintenance and latest commit;
   • runnable code;
   • framework and model dependencies;
   • tests and examples;
   • secrets and permissions;
   • data handling;
   • deployment model;
   • evaluation quality.
5. Compare build, adapt and integrate options.
6. Recommend one blueprint with a version or commit.
7. Request approval before cloning, installing or deploying.
8. Add governance, observability and human-approval controls required by the project's risk level.

Catalogue inclusion is discovery evidence, not production readiness.