HEXIS: Compiling Skills into Extended Finite State Machines

Published
Source
arXiv
Paper number
1126
Field
Agents
arXiv ID
2609.30123

Key points

  • Proposed HEXIS, which compiles skill documents into FSMs by separating knowledge from control flow
  • Built an incremental compilation algorithm that aligns execution traces to find and add missing states
  • Updates are committed only after static checks and replay of all previously accepted traces pass
  • Improved success rate by an average of 16.1 percentage points over Skill+ReAct across four benchmarks and four executor models
  • Reduced Qwen3.8-27B execution tokens by 38.4-88.9% and achieved 84.2% success on SpreadsheetBench

Paper links

External research summaries. These are not HDATF publications or measured product results.

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