Experimental Interaction

Skill for coordinating experimental interactions including agent-to-agent handoffs and voice-to-PRD workflows.

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Experimental Interaction Skill

Overview

This skill provides the logic for specialized interaction patterns within the Antigravity Agent Factory. It handles high-fidelity context exchange between agents and experimental input modalities (e.g., voice).

When to Use

Use this skill when exploring new interaction modalities or when coordinating complex multi-agent handoffs that require the Universal Context Protocol (UCO).

Prerequisites

  • Conda environment cursor-factory active.
  • Access to .agent/knowledge/agent-handoff-protocol.json.

Process

  1. Initialize the experimental context.
  2. Formulate the UCO handoff object.
  3. Execute the transition logic.

Tools

  • scripts/experimental/voice_to_prd.py: Process simulated voice transcripts into PRDs.
  • .agent/knowledge/agent-handoff-protocol.json: Schema for UCO exchange.

Best Practices

  • Always validate the UCO schema before handoff.
  • Use explicit metadata for all experimental transitions.

Related Knowledge

  • agent-handoff-protocol.json
  • zero-knowledge-patterns.json
  • agent-handoff-patterns.json

gitwalter/antigravity-agent-factory/tree/main/.agent/skills/experimental/experimental-interaction commit 275fa6ade4

Frequently asked questions

npx skillmds@latest add gitwalter/experimental-interaction