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SkillFlow Final Skill Libraries

This dataset contains the final evolved skill libraries produced by multiple LLM-based agents on the SkillFlow benchmark.

It focuses on the final reusable skill artifacts only, rather than full raw execution trajectories.

Contents

At the time of release, the dataset contains:

  • 11 models
  • 20 task families
  • 220 model-family final libraries
  • 598 skills

The dataset also includes:

  • index.json: structured metadata for all entries
  • index.csv: flat index for filtering and analysis

Structure

The main directory layout is:

<model>/<task_family>/skills/<skill_name>/SKILL.md

Some skill directories may also include small supporting files such as:

  • scripts/
  • references/

What This Dataset Is For

This dataset is intended for:

  • comparing final skill libraries across models
  • analyzing how agents externalize reusable procedures into skills
  • building retrieval or analysis pipelines over skill artifacts
  • studying model differences in skill decomposition and specialization

What This Dataset Does Not Include

This release does not include:

  • full raw execution trajectories
  • complete intermediate trial histories
  • full verifier logs
  • complete agent reasoning traces

Notes

  • Skill contents are machine-generated artifacts from benchmark runs.
  • Final skills should not be treated as guaranteed-correct ground truth without review.
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