Prompt2Skill builds skills automatically from a single natural-language task description, averaging a 36.1% relative gain across four benchmarks and five models
Prompt2Skill is a multi-agent framework that, from a natural-language task description alone, has a Data Agent derive a task specification and build a proxy data pool through retrieval, adaptation, and synthesis, and a Skill Agent refine the skill in a closed loop of execution feedback, reflective editing, and paired statistical screening, improving over direct prompting by 36.1% and over off-the-shelf skills by 83.0% on average across question answering, reading comprehension, spreadsheet manipulation, and mathematical reasoning with five open-source and commercial target models, without significant regressions.