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Column Annotations

Labels that ride their columns, not floats on top.

Value labels, callouts, and brackets anchored directly to bar-chart columns, rising from the column tops in narration order and holding still while the data is discussed. At most half the columns get annotated.

Column Annotations preview
Best for
Creators walking viewers through bar charts bar by bar
Time needed
25 minutes per chart
Level
Beginner

Install it in 3 steps

No sign-up. No CLI tools. Pick your AI, copy one line, paste it over.

Pro — all 471 skills

Prefer doing it yourself? Buy the skill ($4.99), download the ZIP from your checkout confirmation, unzip it into the directory shown above, restart your AI session — same result. Already bought it? Your AI assistant can download it for you.

What’s inside

One SKILL.md (the playbook) + one starter template. A preview:

Column Annotations

When to use

  • A bar chart has 4–12 columns and the viewer needs to know which bars matter and why, not just that bars exist
  • A column's value needs a label that sits on the column itself rather than in a legend or a caption below the chart
  • Two or three columns deserve a bracket or grouping ("pre-launch vs post-launch") that the bare chart does not show
  • A ranking or comparison chart needs callouts on the winner, the loser, and the surprise — without turning the chart into a wall of text
  • A chart will be discussed bar-by-bar in narration, and each annotation should arrive with its bar's turn

Workflow

  1. Pick the annotated columns (input: chart → output: annotated column list)
    Annotate at most half the columns — a chart where every bar carries a label is a spreadsheet with extra steps. Choose the columns the narration actually names: the max, the min, the turning point, the one that breaks the pattern. For each, write the annotation in ≤6 words. If an annotation needs a full sentence, it belongs in narration, not on the chart.
  2. Choose the annotation type per column (input: annotated columns → output: type assignment)
    Three types, each with one job: value label (the number, sitting just above the column top), callout (a short line of text + a thin leader line pointing at a specific part of the column), bracket (a horizontal bracket spanning 2+ adjacent columns with a group label above it). Value labels answer "how much"; callouts answer "why this one"; brackets answer "these belong together." Do not use two types on the same column — a labeled, called-out, bracketed column is visual shouting.
  3. Anchor each annotation to its column (input: chart + annotations → output: anchor positions)
    Every annotation is anchored to a fixed point on its column: value labels to the column top-center, callouts to the exact data point they describe (top, midpoint, or a segment inside a stacked column), brackets to the outer edges of the first and last columns in the group. Anchors move with the chart: if the chart rescales or a column grows during an animated reveal, the annotation rides its anchor point. An annotation that floats free of its column is decoration; an anchored one is information.

Template preview

Column Annotations — Production Template

One chart, one generation of annotations at a time. Fill in per annotation set.

Chart: {chart title / file} — Columns: {n} — Annotated: {≤ half}

Accent color (distinct from all column colors): {color} | Annotation type size: {axis label size + 2 px}

Annotations (in narration order, not left-to-right)

Bracket groups: "{group label}" spans columns {first} → {last}

Entrance

  • Rise: from {~16 px} below, {0.3–0.4 s} ease-out, stagger {120–180 ms} in narration order
  • Callout leader line: draws {0.2 s} after text lands, from text toward column
  • Bracket: extends from center outward {0.3 s}, then group label fades in

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