The dataset viewer is not available for this subset.
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.
gingiris-user-interview
🇺🇸 User Interview & Cold-Start Operations Playbook — Evidence-led research, usability testing and follow-up. Complete SOP for user screening, interview execution, Beta testing methodology, cold-start user operations, churn analysis, and user grading systems.
🇨🇳 用户访谈与冷启动运营实战手册 — 基于真实行为、可用性观察与回访验证需求。包含用户筛选、访谈执行、Beta 测试设计、冷启动用户运营、流失分析、用户分级体系完整 SOP。
🇯🇵 ユーザーインタビュー＆コールドスタート運営プレイブック — 実際の行動とユーザビリティテストに基づく需要検証。ユーザースクリーニング、インタビュー実行、Betaテスト設計、コールドスタートユーザー運営、離脱分析、ユーザーグレーディング。
🇰🇷 사용자 인터뷰 & 콜드 스타트 운영 플레이북 — 실제 행동과 사용성 관찰에 기반한 수요 검증. 사용자 스크리닝, 인터뷰 실행, Beta 테스트 설계, 콜드 스타트 사용자 운영, 이탈 분석, 사용자 등급 시스템.
Triggers: "user interview" | "user research" | "customer discovery" | "PMF" | "product-market fit" | "beta test" | "beta testing" | "cold start users" | "cold start operations" | "churn analysis" | "user grading" | "用户访谈" | "用户调研" | "冷启动" | "冷启动运营" | "Beta测试" | "流失分析" | "用户分级"
Use this workflow / 使用场景
Category: Research. Version: 1.1.1. 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 gingiris-user-interview
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 gingiris-user-interview, 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 gingiris-user-interview，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.
- Downloads last month
- 183