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/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
                  raise DataFilesNotFoundError("No task.toml or instruction.md files found")
              datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
              
              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 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/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.

gr-social-distill

Adapt a supplied article, draft or text into requested social formats with source attribution and voice checks. Use for X posts or threads, LinkedIn posts or carousels, Xiaohongshu notes and DEV/Zenn drafts; deliver only requested channels without automatic publication. 适用于内容复用、社媒改写与多平台草稿。

Use this workflow / 使用场景

Category: Content/Social. Version: 0.2.1. Distribution checked: 2026-11-08.

This repository distributes an agent instruction package, not a training dataset. Read the task scope and prerequisites in SKILL.md before running it. 这是 Agent 操作指南包,不是训练数据集。输入、产出、前置条件与完整步骤以 SKILL.md 为准。

Install from the maintained source / 安装

npx skills add Gingiris-1031/gingiris-skills --skill gr-social-distill

For an offline copy, download the complete folder including references and scripts; downloading only this README is insufficient. OpenClaw users should follow the source installation guide; runtime compatibility is separate from file availability.

Start with a concrete task / 开始使用

Provide your product or source material, target audience/market, current constraint and desired deliverable. Ask the agent to apply gr-social-distill, separate observations from hypotheses, and identify missing evidence before external actions. Examples in a guide are not proof of your own results.

请提供产品或原始材料、目标用户/市场、当前约束和期望交付物。要求 Agent 使用 gr-social-distill,区分事实、假设和待验证项;涉及对外操作时遵循你的授权范围。

Source and updates

Maintained source · Report an issue · Browse workflows

MIT licensed. No guaranteed ranking, revenue or audience growth. Platform listing and download counts do not establish successful execution.

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