Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills
Paper • 2604.05333 • Published • 22
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Graph of Skills (GoS) Data
This repository contains the dataset artifacts for the paper Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills.
Graph of Skills (GoS) is an inference-time structural retrieval layer for large skill libraries. It constructs an executable skill graph offline and retrieves a bounded, dependency-aware skill bundle at inference time. This repository hosts the skill libraries and prebuilt workspaces used in the paper's benchmarks (SkillsBench and ALFWorld).
Links
- Paper: https://huggingface.co/papers/2604.05333
- GitHub Repository: https://github.com/davidliuk/graph-of-skills
Dataset Structure
The data includes:
- Skill Libraries: Collections of
SKILL.mdfiles (sizes: 200, 500, 1000, and 2000 skills). - Prebuilt Workspaces: Indexed graph workspaces containing vector embeddings and graph storage for immediate use with the GoS engine.
Sample Usage
To download the skill libraries and workspaces using the utility script provided in the GitHub repository:
# Download the skill sets (skills_200, skills_500, etc.)
./scripts/download_data.sh --skillsets
# Download the prebuilt graph workspaces
./scripts/download_data.sh --workspace
For more information on how to index custom skills or run the evaluation suite, please refer to the GitHub README.
Citation
@misc{li2026graphskillsdependencyawarestructural,
title={Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills},
author={Dawei Liu and Zongxia Li and Hongyang Du and Xiyang Wu and Shihang Gui and Yongbei Kuang and Lichao Sun},
year={2026},
eprint={2604.05333},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2604.05333},
}
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