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 |

Use when designing AI agent products, defining roadmaps for agentic workflows, or evaluating how to evolve AI from passive tool to proactive partner in software development Source: coowoolf/insighthunt-skills.

View raw