agent-skills

Manage AI agents, tools & multi-agent workforces on Relevance AI. Use when the user wants to create agents, build tool workflows, orchestrate multi-agent systems, or manage knowledge tables via the Relevance AI API.

Manages Relevance AI agents - creating, configuring tools, writing system prompts, setting up triggers, and running conversations. Use when building agents, attaching tools, debugging execution, or viewing agent results.

Manages Relevance AI tools (studios) - creating transformation workflows, configuring OAuth, running tools, and recovering versions. Use when building tools, adding steps, debugging transformations, or restoring previous versions.

Manages Relevance AI workforces (multi-agent systems) - creating workflows, configuring nodes/edges, triggering execution, and debugging runs. Use when building multi-agent pipelines, connecting agents together, or debugging workforce execution.

Manages Relevance AI knowledge tables - creating tables, adding rows, querying data, and bulk updates. Use when working with knowledge tables, CRM data, or agent data storage.

Manages agent evaluations in Relevance AI - creating test cases, running evaluations, and analyzing results. Use when testing agent behavior, setting up automated testing, or reviewing evaluation results.

Retrieves usage analytics for Relevance AI agents and projects. Use when asked about agent usage, most active agents, execution counts, or usage trends over time.