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.

Team Motivation Ops — Standup + Weekly Meeting + 1:1 System for AI Startup COO

🌍 Language: 中文 | English | 日本語 | 한국어

Your team has high autonomy — and standups are vague, weekly meetings drift into status reports, and 1:1s produce nothing but "I'm fine." This playbook fixes all three layers at once.

What's inside

  • Daily Standup system — 3-field format, good sample, 4 COO principles to keep it honest
  • Weekly Meeting — strict 25-min agenda, Scrum Master rotation, 0–10 pulse check
  • 1:1 Framework — 9-dimension quantified pulse, 5-group deep question bank, bilateral feedback structure
  • Diagnostic layer — "stuck-at" detection: info / authority / collaboration / capability / direction
  • FAQ for 4 common failure modes (dead standups, status-report meetings, "I'm fine" 1:1s, scaling beyond 10 people)

Core principle

Freedom and accountability are two sides of the same coin. Standups help people think clearly. Weekly meetings create alignment. 1:1s make people feel seen. When all three work, motivation isn't managed into existence — it grows on its own.

Three-layer structure

Layer 1: Daily Standup — Information Layer

  • Standard 3-field format (what I did / what I'll do / blockers)
  • Sample good standup with concrete example
  • 4 COO principles: demand honesty not perfection, praise publicly never shame, model it first

Layer 2: Weekly Meeting — Alignment Layer

  • 25-minute hard-stop agenda (company update 8min + individual rounds 3min/person + group discussion)
  • 0–10 current-state pulse check (mandatory, never skip)
  • Scrum Master rotation to reduce COO dependency

Layer 3: 1:1 Meeting — Individual Layer

  • 9-dimension quantified pulse check (energy, goal clarity, mission alignment, autonomy vs support, growth, sustainability, flow time, technical growth, tooling)
  • 5-group deep question bank: work itself / decisions & ownership / honesty / growth / people & org
  • Bilateral feedback structure (them→you + you→them)

Common failure modes & fixes

Failure Mode Fix
Nobody writes real standups Check your own first. Specificity is contagious. Praise one good example publicly.
Weekly meeting = status report Replace "what did you do" with "did you hit your commitment from last week"
1:1 always gets "I'm fine" Build evidence that honesty won't be punished — takes actual incidents, not better questions
Too many people to do 1:1s with everyone Bi-weekly + delegate pulse check to tech leads; COO handles escalations

Links

Usage

Install via Cola / ClawHub, or use the SKILL.md directly as a system prompt / context document for any LLM-based assistant.

npx skills add https://clawhub.ai/gingiris/team-motivation-ops

加入出海社群与购买资料包 · Community & Resources

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  • 购买资料包: 微信添加 staywildgrow,咨询购买 Gingiris 出海资料包,价格 599 元人民币。

  • Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).

  • Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.

社群与资料包为可选入口,不影响本开源 Skill 的安装和使用。

The community and paid resource pack are optional; neither is required to install or use this open-source skill.

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