Writes annotation text for data charts: axis labels, callout boxes, trend labels, source lines, and explanatory notes, making charts self-explanatory.
How this skill is triggered — by the user, by Claude, or both
Slash command
/autopunk-media-skills:chart-annotation-writerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Writes the annotation text for a data chart — axis labels, callout boxes, trend labels, source lines, and explanatory notes — so that a reader can understand the chart's key finding without reading the surrounding article.
Writes the annotation text for a data chart — axis labels, callout boxes, trend labels, source lines, and explanatory notes — so that a reader can understand the chart's key finding without reading the surrounding article.
Required: A description of the chart — what type it is (bar, line, scatter, map, etc.), what the axes represent, what the data shows, and what the key finding or data story is; the topic and publication context Optional: The specific data point or moment you want highlighted as a callout; any secondary patterns worth noting; the publication's annotation style (brief labels vs. full explanatory sentences); character or word limits imposed by the design template; whether the chart will appear in print, on screen, or as a standalone social graphic
Structured output with clearly labelled components:
All annotation text is written in plain English at a general-audience reading level. Avoid jargon in axis labels. Source lines should be factual and specific, not vague ("various sources" is not acceptable).
Chart type: Line chart What it shows: Monthly average residential rental prices (indexed to January 2019 = 100) for three city tiers — large capitals, mid-sized regional cities, and small towns — from January 2019 to December 2023 Key finding: Mid-sized regional cities saw the steepest rental increase of the three groups, overtaking large capitals in mid-2021 and maintaining the lead through the end of the period Data source: National housing price registry, annual release, 2024 Secondary observation: Small town rents remained nearly flat until early 2022, then rose sharply Publication: General-interest digital news outlet
Chart title: Mid-sized cities now have the fastest-rising rents — overtaking capitals in 2021
Subtitle: Monthly average residential rents, indexed to January 2019 = 100, across three city tiers
X-axis label: Month (Jan 2019 – Dec 2023)
Y-axis label: Rent index (Jan 2019 = 100)
Main callout text (placed at mid-2021 crossover point): Mid-sized cities overtook large capitals here and have not looked back. By December 2023, their indexed rents were the highest of any city tier.
Secondary callout (placed at early 2022 for small towns): Small town rents rose sharply from early 2022 — a delayed catch-up after two years of near-stagnation.
Source line: National housing price registry, 2024 annual release. Data covers registered tenancy contracts; private informal rentals are not included.
Methodology note: Prices are indexed to January 2019 = 100 for each city tier separately. Index values show relative change within each group, not absolute price comparisons between groups.
npx claudepluginhub ur-grue/autopunk-media-skills --plugin autopunk-media-skillsWrites clear, precise axis labels, legends, annotations, and source lines for charts — the text layer that makes a graphic publishable.
Maps data questions to chart types and generates narrated insight reports with action recommendations. Use for dashboard building, KPI monitoring, or data analysis.
Designs clear, accessible data visualizations with chart selection for comparisons/trends/distributions, styling principles, color palettes, responsiveness, and best practices.