stata-style-figures
Style every matplotlib figure like the Stata 18/19 default (stcolor) scheme — Arial embedded as TrueType, white background, recessive light-gray grid below the data, no top/right spines, unframed legends, and the validated blue/red/gray palette. Use whenever a task generates or restyles charts, plots, or figures for papers, reports, or slides, even if the user doesn't mention Stata — this is the house style for all publication figures. Also use when asked to make figures "look like Stata", match the stcolor scheme, or restyle existing matplotlib output.
npx skills add kennethkhoocy/applied-micro-skills --skill stata-style-figures --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Stata-style (stcolor) matplotlib figures House style for publication figures, extracted from validated generators. Paste the rcParams block, use the palette constants, follow the grid rule, and never let a restyle change data content. ## rcParams — paste at the top of every figure script ```python plt.rcParams.update({ "font.family": "sans-serif", "font.sans-serif": ["Arial", "Helvetica", "DejaVu Sans"], "mathtext.fontset": "custom", "mathtext.rm": "Arial", "mathtext.it": "Arial:italic", "mathtext.bf": "Arial:bold", "pdf.fonttype": 42, "ps.fonttype": 42, # embed fonts as TrueType "font.size": 9, "axes.linewidth": 0.6, "axes.edgecolor": "0.2", "axes.spines.top": False, "axes.spines.right": False, "axes.axisbelow": True, }) ``` `font.size` 9 for single/1x2 panels; drop to 8.5 when panels are dense (many tick labels). Figure width 6.5 in = `\textwidth` at 1-inch margins; include at `width=\textwidth` so fonts render at stated size (no downscaling). ## Palette ```python STC_BLUE = "#1f77b4" # protagonist series STC_RED = "#d62728" # accent / contrast series STC_GRAY = "0.62" # de-emphasised series STC_BLUE_LIGHT = "#c1d9ec" # shaded bands / intervals (light step of the blue) STC_GRID
- rcParams — paste at the top of every figure script
- Palette
- Per-axes styling
- Output format — PNG by default
- Semantics rule — restyling never changes content
- Chart-type patterns
What does the stata-style-figures skill do?
Style every matplotlib figure like the Stata 18/19 default (stcolor) scheme — Arial embedded as TrueType, white background, recessive light-gray grid below the data, no top/right spines, unframed legends, and the validated blue/red/gray palette. Use whenever a task generates or restyles charts, plots, or figures for papers, reports, or slides, even if the user doesn't mention Stata — this is the house style for all publication figures. Also use when asked to make figures "look like Stata", match the stcolor scheme, or restyle existing matplotlib output.
How do I install it?
Run `npx skills add kennethkhoocy/applied-micro-skills --skill stata-style-figures --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From kennethkhoocy/applied-micro-skills, a repository with 54 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.