ChainCatcher reports that NeoSoul, an AI economic infrastructure project on the BSC and 0G ecosystems, announced the launch of Skill Builder on its universal agent trading workstation NeoTrade. Users can describe their trading ideas or strategies in a conversation, and the system generates a corresponding trading Skill, automatically configuring and validating parameters such as timeframes, markets of interest, position sizing, and order types.
Previously, traders had to write trading logic and set parameters manually to turn their ideas into sustainable strategies executable by agents. Skill Builder centralizes the process into a chat window: users describe the core trading idea in natural language, then refine the strategy through successive dialogues. During the conversation, NeoTrade adjusts specific conditions based on user requests and writes each modification into the Skill in real time. After completion, the system automatically validates parameters, and the generated Skill can be saved and reused.
Kaelan, co-founder of NeoSoul, stated that translating trading judgments into rules executable by an agent has always been one of the most time-consuming steps in creating a trading agent. Skill Builder puts this step into a single conversation: users first explain how they want to trade, and the system handles structuring, parameter configuration, and validation.