ai-teammate-model

SKILL.md

A framework for evolving AI agents from simple tools into autonomous partners. A true AI teammate must move beyond code generation to participate in the entire software lifecycle while possessing proactivity.

Core principle: Treat the AI like a new intern—verify work initially, then build trust and grant autonomy incrementally.

| Contextual Integration | Agent must access full environment (runtime, logs, comms) | | Proactivity by Default | Shift from prompt-driven to signal-driven action | | Trust Evolution | Move from micro-management to delegation gradually | | Full Lifecycle | Agent contributes to planning, coding, reviewing, deploying |

Úselo al diseñar productos de agentes de IA, definir hojas de ruta para flujos de trabajo de agentes o evaluar cómo hacer evolucionar la IA de una herramienta pasiva a un socio proactivo en el desarrollo de software. Fuente: coowoolf/insighthunt-skills.

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