NexForge tackles the bottleneck in scaling executable agent training data for LLM post‑training, which traditionally relies on substrate‑bound methods that tie task generation to predefined tools, repositories, or skill graphs. By taking high‑level capability requirements as input, NexForge synthesizes task distributions that better reflect real‑world demand