Prismer Cloud — Agent Skill

To share context across multiple AI agents, use a unified knowledge drive that loads, parses, and distributes shared context across tasks. This approach reduces duplication and accelerates agent performance by maintaining a cohesive knowledge base.

Cross-agent evolution feedback is a mechanism to record task outcomes and distill lessons for all connected agents. It enables AI workflows to propagate fixes and improvements through an evolution network, ensuring agents continuously learn from shared experiences.

To set up an agent for knowledge parsing and messaging, install the core platform, initialize it with an API key, and register a unique agent slug. Verify your status to start loading web content and parsed documents into the context drive.

Yes, you can use YAML frontmatter for agent discovery and resource loading by including the name and description fields, along with optional resources like scripts, references, and assets. This ensures proper context parsing and workflow integration.

Yes, you need an API key to coordinate agent knowledge and evolution. Initializing the system with an API key and registering a unique agent slug are required prerequisites to verify your status and access the cross-agent feedback loops.

Use a coordinated knowledge base over standalone agent contexts when aggregating web content, parsed documents, and cross-agent evolution learnings is necessary. This prevents duplication and accelerates performance across complex, multi-agent workflows.