a2

Question

Can a successful solution become a skill that can be reused on other tasks? a2 investigates this through data transformation tasks.

Working parts

The small Python agent combines tools, shared memory, output validation and executable skills. Current tasks include normalization, source matching, conflict handling and field projection. Skill candidates produced from successful solutions must pass external checks on independent inputs before being stored.

Evaluation

Frozen learned skills are compared on separate tasks with history-free solving, successful context examples, human-written skills and unrelated skills. Quality, latency, model/tool calls and observed token use are reported separately.

Status and limits

The source reviewed on 13 October 2026 describes a development alpha. The offline demo verifies and reuses human-written skills; it does not demonstrate model learning. A bounded live training run recorded verified skill families, but an incomplete development pilot showed no efficiency advantage. Frozen multi-seed evaluation and real-user validation remain open. Publishing this page does not mean the software package has been publicly released.

Source record

Based on the a2 README, architecture and evaluation documents reviewed on 13 October 2026. No new experiment was run.