id: data-science
name: Data Science
description: Data specification generation, Jupyter notebooks, and Streamlit dashboards
notice: |
  > [!CAUTION]
  > This collection includes RAI (Responsible AI) agents and prompts that are **assistive tools only**. They do not replace qualified responsible AI review, ethics board oversight, or established organizational RAI governance processes. All AI-generated RAI assessments, impact analyses, and recommendations **must** be reviewed and validated by qualified professionals before use. AI outputs may contain inaccuracies, miss critical risk categories, or produce recommendations that are incomplete or inappropriate for your context.
tags:
  - data
  - jupyter
  - streamlit
  - dashboards
  - visualization
  - data-science
  - rai
  - responsible-ai
items:
  # Agents
  - path: .github/agents/data-science/gen-data-spec.agent.md
    kind: agent
  - path: .github/agents/data-science/gen-jupyter-notebook.agent.md
    kind: agent
  - path: .github/agents/data-science/gen-streamlit-dashboard.agent.md
    kind: agent
  - path: .github/agents/data-science/test-streamlit-dashboard.agent.md
    kind: agent
  - path: .github/agents/rai-planning/rai-planner.agent.md
    kind: agent
    maturity: experimental
  - path: .github/agents/hve-core/subagents/researcher-subagent.agent.md
    kind: agent
  # Instructions
  - path: .github/instructions/coding-standards/python-script.instructions.md
    kind: instruction
  - path: .github/instructions/coding-standards/uv-projects.instructions.md
    kind: instruction
  - path: .github/instructions/rai-planning/rai-backlog-handoff.instructions.md
    kind: instruction
    maturity: experimental
  - path: .github/instructions/rai-planning/rai-identity.instructions.md
    kind: instruction
    maturity: experimental
  - path: .github/instructions/rai-planning/rai-impact-assessment.instructions.md
    kind: instruction
    maturity: experimental
  - path: .github/instructions/rai-planning/rai-security-model.instructions.md
    kind: instruction
    maturity: experimental
  - path: .github/instructions/rai-planning/rai-standards.instructions.md
    kind: instruction
    maturity: experimental
  - path: .github/instructions/rai-planning/rai-capture-coaching.instructions.md
    kind: instruction
    maturity: experimental
  - path: .github/instructions/shared/hve-core-location.instructions.md
    kind: instruction
  # Prompts
  - path: .github/prompts/rai-planning/rai-capture.prompt.md
    kind: prompt
    maturity: experimental
  - path: .github/prompts/rai-planning/rai-plan-from-prd.prompt.md
    kind: prompt
    maturity: experimental
  - path: .github/prompts/rai-planning/rai-plan-from-security-plan.prompt.md
    kind: prompt
    maturity: experimental
  - path: .github/prompts/data-science/synth-data-generate.prompt.md
    kind: prompt
    maturity: experimental
display:
  ordering: manual
