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Resource profile / Data Visual Story
About this skill

Workflow & requirements

Data Visual Story

Goal

Translate a dataset into clear charts, annotations and an honest visual explanation.

Inputs

Ask for the intended audience, source material, output format, constraints and success criteria. Use the user's supplied context when available.

Workflow

  1. Review the inputs and identify missing facts.
  2. Propose a concise structure suited to the audience.
  3. Produce original work using the supplied material. Keep a record of external sources and permissions.
  4. Check the result against the brief. Verify links, claims, accessibility and relevant technical behavior.
  5. Deliver the artifact with a short explanation and any practical limitations.

Quality checklist

  • The output solves the user's stated task.
  • No invented facts, misleading metrics or unlicensed materials.
  • Clear hierarchy, consistent formatting and readable content.
  • Editable source and an appropriate final export are included when applicable.

Compatibility

Works with any agent that can read SKILL.md. External generation tools are optional and require the user's configured provider.

PACKAGE TRANSPARENCY

Inspect before installing

Source: BB Skills · MIT · SHA-256 shown alongside the download.

2 files1555 ZIP bytes0 script/code files

License file included. A license and checksum are not a security certification. Review package instructions and scripts before running them.

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Machine-readable installation guide →
SCENARIOS

Inputs, criteria and recorded outcomes

Records are supplied by the site administrator and bound to a specific package. They are not third-party safety certification. This page does not execute skills.

Small dataset visualization acceptance template

Planned · v1.0.0

View input and acceptance criteria

Input

Use these values: January 12, February 18, March 15. Create a clear chart and write a short interpretation.

Acceptance criteria

Values match the input; axes and units are clear; no invented samples or statistical significance; any truncated axis is explained.

Package SHA-256: 8d4d0d86b0e4a5bc2af2edc09cffa2363f690a0fc9ab4eedac6955ada426a5b9

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