Agent Skills

Write ggsql queries — a grammar of graphics for SQL. Use when the user wants to create, modify, or understand a ggsql visualization query.

Install

npx skills add https://github.com/posit-dev/skills --skill ggsql
SKILL.md

ggsql Query Writer

ggsql combines a SQL query with a Grammar-of-Graphics visualization spec in one syntax. Write queries using ONLY the syntax below — NEVER invent clauses, settings, aesthetics, layer types, or palette names; say so if unsure whether something exists.

Query structure

Optional SQL part + required VISUALISE/VISUALIZE part.

  • SELECT → VISUALISE: last statement is a SELECT (bare, WITH...SELECT, set ops); its result feeds VISUALISE, which has no FROM.
    SELECT name, score_a, score_b FROM 'dataset.csv' WHERE value > 50
    VISUALISE score_a AS x, score_b AS y
    [DRAW / PLACE / SCALE / FACET / PROJECT / LABEL clauses]
    
  • VISUALISE FROM: VISUALISE supplies its own source (table/file/CTE/built-in), no trailing SELECT.
    WITH summary AS (SELECT category, COUNT(*) AS n FROM 'dataset.csv' GROUP BY category)
    VISUALISE category AS x, n AS y FROM summary
    DRAW bar
    

Data sources (in VISUALISE ... FROM or DRAW ... MAPPING ... FROM): unquoted table/CTE (FROM sales), quoted file path (FROM 'data.csv'), built-in dataset (FROM ggsql:penguins, FROM ggsql:airquality).

VISUALISE clause

Starts the viz; optional global mappings inherited by every layer.

VISUALISE <mapping>, ... FROM <data-source>

Mapping forms: explicit column AS aesthetic (e.g. revenue AS y); implicit column (name = aesthetic name); wildcard * (all matching columns); constant 'red' AS fill.

VISUALISE bill_len AS x, bill_dep AS y, species AS fill FROM ggsql:penguins
VISUALISE * FROM my_table

DRAW clause

Defines a layer; multiple DRAW stack bottom→top. All subclauses optional given global mappings/data.

DRAW <layer-type>
  MAPPING <mapping>, ... FROM <data-source>
  REMAPPING <stat-property> AS <aesthetic>, ...
  SETTING <param> => <value>, ...
  FILTER <condition>
  PARTITION BY <column>, ...
  ORDER BY <column>, ...
  • MAPPING — same forms as VISUALISE; merges with (layer wins over) global mappings, can add its own FROM. null blocks inheriting a global mapping: MAPPING null AS color.
  • REMAPPING — for stat layers (histogram, density, boxplot, violin, smooth, bar w/o y): maps a computed stat to an aesthetic, e.g. REMAPPING density AS y instead of a layer's default stat.
  • SETTING — literal aesthetic values or layer params (bypasses scales), e.g. SETTING size => 5, stroke => 'red'. Position adjustment: 'identity' (default, most layers), 'stack' (default bar/histogram/area), 'dodge' (default boxplot/violin), 'jitter'.
  • FILTER — SQL WHERE condition on layer data: FILTER sex = 'female' AND body_mass > 4000.
  • PARTITION BY — extra grouping columns beyond discrete mappings: PARTITION BY Month.
  • ORDER BY — record order, matters for path: ORDER BY timestamp.

Aggregate (a SETTING)

Collapses each group (PARTITION BY cols + discrete mappings) to one row, replacing numeric mappings with aggregated values. Layers: point line path bar area ribbon range segment rule text tile (not stat layers, which have their own).

SETTING aggregate => '<spec>'                -- single
SETTING aggregate => ('<spec>', '<spec>', …) -- list

Spec is untargeted '<func>' (every unmapped-target numeric aesthetic; ≤2 untargeted defaults — 1st for lower-side aesthetics x/xmin/etc + all non-range layers, 2nd for upper-side xend/xmax) or targeted '<aes>:<func>' (overrides untargeted for that aesthetic).

Functions — reductions: count sum prod min max range mid mean median geomean harmean rms sdev var iqr se p05–p95; positional (need upstream ORDER BY): first last diff; band <offset>±[<mult>]<expansion> e.g. 'mean+1.96sdev' (offsets: mean median geomean harmean rms sum prod min max mid p05–p95; expansions: sdev se var iqr range).

Explosion: targeting one aesthetic with multiple functions emits one row/function/group, tagged by a synthetic aggregate column — drive another aesthetic via REMAPPING aggregate AS <aes>. Equal-length exploded aesthetics run in lockstep; single-function targets repeat each row. Mixed lengths >1 error.

-- min/max envelope as two lines per group, coloured by function
DRAW line MAPPING Date AS x, Temp AS y
  REMAPPING aggregate AS color
  SETTING aggregate => ('y:min', 'y:max')
  PARTITION BY Year

Scale interaction: for a targeted aesthetic, SCALE BINNED runs after aggregation (so stats aren't cancelled within a bin); untargeted SCALE BINNED still bins pre-aggregate to drive grouping. Continuous censoring (SCALE <aes> FROM (lo, hi)) and discrete OOB filtering defer to post-aggregate whenever that aesthetic is aggregated.

PLACE clause

Annotation layer, literal values only, no data mapping; tuples for multiple annotations.

PLACE point SETTING x => 5, y => 10, color => 'red'
PLACE text SETTING x => (34, 44), y => (66, 49), label => ('Mean = 34', 'Mean = 44')

SCALE clause

Maps data → aesthetic output; sensible defaults always apply. Only aesthetic is required.

SCALE <type> <aesthetic> FROM <input-range> TO <output-range> VIA <transform>
  SETTING <param> => <value>, ...
  RENAMING <value> => <label>, ...
  • Type (before aesthetic; inferred if omitted): CONTINUOUS, DISCRETE, BINNED (bin continuous→discrete, never auto), ORDINAL (never auto), IDENTITY (pass through, no legend).
  • Aesthetic — base name only: x y fill stroke color(=fill+stroke) opacity size linewidth linetype shape panel row column. Position families (xmin/xmax/xend/ymin/ymax/yend) scale via base name (SCALE x ...).
  • FROM — continuous (min, max), null infers ((0, null)); discrete ('A','B','C') sets order & nulls the rest, or include null explicitly.
  • TO — value array (('red','blue'), (1, 6)) or named palette (viridis, dark2, tableau10).
  • VIA — continuous: linear log log2 ln exp10 exp2 exp sqrt square asinh pseudo_log pseudo_log2 pseudo_ln integer; temporal (auto for date/datetime/time cols): date datetime time; discrete: string bool.
  • SETTING — continuous/binned: expand (factor or (mult,add), default 0.05, x/y only), oob ('keep' default x/y, 'censor' default others, 'squish'), breaks (count/array/interval string e.g. '2 months'), pretty (bool, default true), reverse (bool). Continuous only: minor_breaks (count/array/interval string; ignored by Vega-Lite). Binned only: closed ('left'/'right'). Discrete/ordinal: reverse.
  • RENAMING — direct + wildcard formatting (direct wins): RENAMING 'Adelie' => 'Pygoscelis adeliae', 'adelie' => null or RENAMING * => '{:Title}' (formatters: Title UPPER lower, time %B %Y, num %.1f).
SCALE x VIA date SETTING breaks => '2 months'
SCALE y FROM (0, 100) SETTING oob => 'squish'
SCALE BINNED x SETTING breaks => 10, pretty => false

FACET clause

Small multiples. 1D FACET region (wrap, aesthetic panel); 2D FACET region BY category (grid, aesthetics row/column). Settings: free (null default/fixed, 'x', 'y', ('x','y')), missing ('repeat' default / 'null'), ncol/nrow (1D only, pick one). Customize/filter via SCALE on the facet aesthetic:

FACET region
SCALE panel RENAMING 'N' => 'North', 'S' => 'South'
FACET island
SCALE panel FROM ('Biscoe', 'Dream')   -- filters panels shown

PROJECT clause

Coordinate system.

PROJECT <aesthetic>, ... TO <coord-type> SETTING <param> => <value>, ...

cartesian (default): aesthetics x/y; settings clip (bool, default true), ratio (number or null). polar: aesthetics radius(primary)/angle(secondary); settings clip, start/end (degrees, default 0/start+360), inner (0-1 donut hole, default 0). Swap order to flip axes (PROJECT y, x TO cartesian); without PROJECT, type is inferred from mappings.

PROJECT TO polar SETTING inner => 0.5   -- donut chart

LABEL clause

Overrides axis/legend labels & titles: title, subtitle, caption, or any aesthetic name; null suppresses.

LABEL title => 'Sales by Region', x => 'Date', y => 'Revenue (USD)', fill => null

Layer types

  • point — required x, y; optional size, colour, stroke, fill, opacity, shape.
  • line — required x, y; sorted by primary axis; optional colour/stroke, opacity, linewidth, linetype; settings position, orientation ('aligned'/'transposed').
  • path — like line but data-order (unsorted); same aesthetics.
  • bar — auto-counts if no y; optional x, y, fill, colour, stroke; stats count, proportion; property weight; settings position (default 'stack'), width. Orientation from mapping (x=vertical, y=horizontal).
  • histogram — required x; stats count, density (default remap count AS <secondary>); settings position ('stack'), bins (30), binwidth, closed.
  • density — required x; stats density, intensity; settings position ('identity'), bandwidth, adjust (1), kernel ('gaussian' default, epanechnikov triangular rectangular biweight cosine).
  • boxplot — required x (cat), y (cont); stats type, value; settings position ('dodge'), outliers (true), coef (1.5), width (0.9), hinge (points, default null/hidden).
  • violin — required x (cat), y (cont); stats density, intensity (default remap density AS offset); settings position ('dodge'), bandwidth, adjust, kernel, width (0.9), side ('both' 'left' 'bottom' 'right' 'top'), tails (default 3).
  • smooth — required x, y; stat intensity; settings method ('nw' default, 'ols', 'tls'), bandwidth, adjust, kernel (nw only).
  • area — required x, y, anchored at zero; settings position ('stack'), orientation, total (normalize), center (steamgraph).
  • ribbon — like area but explicit ymin/ymax, unanchored.
  • segment — required x, y, xend, yend; use range instead when one coord is shared between start/end.
  • rule — required x or y (full-panel reference line); optional slope (diagonal: y = a + slope*x).
  • text — required x, y, label; settings offset (number or (h,v)), format (RENAMING-style interpolation), parse (bool, default true: markdown **bold**/*italic*/~~strike~~/`code`/{.red span}; not in Vega-Lite), hjust ('left' 'right' 'centre' or 0-1), vjust ('top' 'bottom' 'middle' or 0-1).
  • rect — pick 2 per axis from center/min/max/width/height, or just center (defaults size to 1).
  • polygon — required x, y; ordered coords; PARTITION BY separates distinct polygons.
  • range — required x, ymin, ymax; setting hinge (points, default 10, null hides).

All layers accept colour/stroke, fill, opacity, linewidth, linetype, and position where applicable.

Named color palettes

  • Discrete: ggsql10(default) tableau10 category10 set1 set2 set3 dark2 paired pastel1 pastel2 accent kelly22
  • Sequential: sequential(default) viridis plasma magma inferno cividis blues greens oranges reds purples greys ylgnbu ylorbr ylorrd batlow hawaii lajolla turku …
  • Diverging: vik/diverging rdbu rdylbu rdylgn spectral brbg prgn piyg puor berlin roma …
  • Cyclic: romao/cyclic bamo broco corko viko

Common patterns

-- Pie chart: bar layer in polar coords
VISUALISE species AS fill FROM ggsql:penguins
DRAW bar
PROJECT TO polar

-- Multi-series line chart
VISUALISE Date AS x
DRAW line MAPPING Temp AS y, 'Temperature' AS color
DRAW line MAPPING Ozone AS y, 'Ozone' AS color
SCALE x VIA date

-- Lollipop chart
SELECT ROUND(bill_dep) AS bill_dep, COUNT(*) AS n FROM ggsql:penguins GROUP BY 1
VISUALISE bill_dep AS x
DRAW range MAPPING 0 AS ymin, n AS ymax SETTING hinge => null
DRAW point MAPPING n AS y

-- Ridgeline / joy plot
VISUALISE Temp AS x, Month AS y FROM ggsql:airquality
DRAW violin SETTING width => 4, side => 'top'
SCALE ORDINAL y

-- Mean ± 1.96·sdev band per group, as a ribbon
VISUALISE Day AS x, Temp AS ymin, Temp AS ymax FROM ggsql:airquality
DRAW ribbon SETTING aggregate => ('mean-1.96sdev', 'mean+1.96sdev') PARTITION BY Month

CLI

ggsql subcommands: exec <QUERY>, run <FILE>, validate <QUERY>, parse <QUERY>, view <QUERY> (window, blocks until closed). Options: --reader <URI> (default duckdb://memory), --writer <FORMAT> (default vegalite), --output <PATH> (extension picks writer), -D key=value, -v. Writers: vegalite svg pdf hep (no GPU) and png jpeg tiff webp (GPU, not every build).

Don't run ggsql view unless a window was requested — it blocks and you can't close it; use --output instead. Prefer svg/pdf for pictures (no GPU adapter needed); ggsql exec --help lists available writers.

ggsql exec "VISUALISE bill_len AS x, bill_dep AS y FROM ggsql:penguins DRAW point" -v
ggsql exec "VISUALISE species AS fill FROM ggsql:penguins DRAW bar" -o chart.svg

Reference

https://ggsql.org/syntax/index.llms.md — latest syntax docs.

Instructions for responding

  1. Write a complete, valid ggsql query for the request; use SQL/CTEs before VISUALISE for data shaping.
  2. Choose the simplest layer types/settings that work; add SCALE for formatting/palettes/ranges and LABEL for titles when warranted.
  3. Briefly explain your choices after the query. Never invent syntax — say so if unsure.
  4. Default to ggsql:penguins/ggsql:airquality when no data is specified.
  5. Use ggsql validate "<query>" to validate, ggsql exec "<query>" -v to run and show output.

Related skills

researchmattpocock575KInvestigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.paper-context-resolverlllllllama451KRigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing Renv-and-assets-bootstraplllllllama450KRigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.ai-research-explorelllllllama311KRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow c

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers