claude

data-visualisation-and-publishing

Create static and interactive data visualisations for reports, repos, and data storytelling — prioritising a curated inventory of open-source tools.

2 on GitHubby Daniel Rosehillv1.1.0MITupdated 29 days ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin data-visualisation-and-publishing in danielrosehill/Claude-Data-Visualisation-And-Publishing-Plugin. Commands read from the repo's manifest — 28 days ago.

What it installs

Skills (4)

  • choose-tool

    Decision protocol for selecting the right data visualisation tool from the inventory based on output medium, data shape, runtime, and storytelling needs. Use when the user asks for a chart/graphic/dashboard but hasn't specified a library.

  • data-storytelling

    Design and build data-storytelling pieces — narrative-driven visualisations with annotations, animated transitions, and interactive elements. Use when the goal is persuasion or explanation, not just analysis.

  • setup-environment

    Stand up a working data visualisation environment in a repo or workspace — install deps, create a starter project, wire up a reproducible build. Use after a tool has been chosen and the user needs it ready to run.

  • tool-inventory

    Purpose-organised catalogue of validated data visualisation libraries, grouped by use case so a tool can be located quickly. Reference this at the start of any dataviz task to get a head start.

Slash commands (3)

  • /data-visualisation-and-publishing:dataviz-pick

    Pick the right visualisation tool from the curated inventory for a given dataviz task.

  • /data-visualisation-and-publishing:dataviz-setup

    Scaffold a data visualisation environment in the current directory using the chosen inventory tool.

  • /data-visualisation-and-publishing:dataviz-story

    Design and build a data-storytelling visualisation — narrative-driven, annotated, optionally animated or interactive.

View source on GitHub

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