malloydata/publisher/malloy-html-data-apps

Claude Code and agent skill by malloydata/publisher

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Checking that the SKILL.md file is still in the repository.

Build or modify an in-package HTML data app for a Malloy Publisher package (a public/ directory the package serves): design it, write its Publisher.query code, embed it. Hand-authored, no build step.

Install

npx vskill@latest install malloydata/publisher/malloy-html-data-apps

SKILL.md

In-Package HTML Data Apps

A package becomes a web app by adding a public/ directory. Publisher serves those files and gives the page Publisher.query(...) to run Malloy against the package's models. No build step, no npm, no framework.

When this is the right tool

The user wantsUse
A hand-authored HTML/JS dashboard, no toolchainthis skill (an HTML data app)
A React app with managed componentsthe Publisher React SDK (out of scope here)
An analyst notebook or dashboard with chartsa Malloy report (<slug>.malloy at the package root, layout=linear or layout=grid; the malloy-reports skill)
Point-and-click exploration, no codethe Publisher Explorer

Pick an HTML data app when the user wants full control of the markup and only plain web files.

Package anatomy

my-package/
publisher.json # name, version, description
subscriptions.malloy # the model(s), stays private
subscriptions.parquet # data, stays private
public/ # ONLY this directory is web-served
index.html
app.js
vendor/ # chart library, vendored rather than loaded from a CDN
chart.umd.js

Only public/ is reachable over the web, at /environments/<env>/packages/<pkg>/<file>. Models, data, and publisher.json are private and reached only through the query API, which still applies the model's filters, private: fields, and authorize rules. There is no flag to set: a public/ directory is what makes a package an app.

Build sequence

The agent orchestrates these. Each query and chart step hands off to a focused skill.

  1. DESIGN IT FIRST. Read reference/design.md: who opens it, the decision it serves, the archetype, the form each tile takes, and the depth plan. Skipping this is what produces an app that enumerates the model - a KPI row and a chart grid, whatever the domain - instead of one that answers a question. Hand the brief to the user before scaffolding.
  2. READ THE MODEL. Get the model's real source and view names, through your environment's context tool if it has one, or by opening the .malloy file directly. Never guess field or view names.
  3. SCAFFOLD the package (template below).
  4. WRITE THE QUERIES. Read reference/runtime.md. Validate each before pasting it into the page, using whatever query tool your environment provides or a running Publisher (see reference/runtime.md). Malloy syntax questions go to skill:malloy-queries.
  5. CHOOSE CHARTS with skill:malloy-charts when rendering through <malloy-render>; otherwise it is your own chart library drawing the returned rows. Vendor any chart library into public/ and load it locally, not from a CDN. Two reasons: embedded author JavaScript runs with the viewing user's data authority, and a blocked CDN (agent sandboxes and many corporate networks block them) is easy to miss, because the script never runs and the charts come up empty. The storefront example ships its chart library in public/vendor/ and loads it from public/index.html as ./vendor/chart.umd.js. Copy its vendoring, not its loading (it uses a plain <script>, which the next sentences rule out), and resolve the path against the page's own directory: a page in a subdirectory (public/reports/index.html) needs ../vendor/chart.umd.js. A wrong relative path 404s and leaves the charts blank, which is the failure you are trying to avoid. Load it off the critical path (<link rel="preload">, then injected on the first chart), not as a plain <script> ahead of the app: it is usually most of the page's weight and would hold every query until it has parsed (reference/performance.md).
  6. EMBED (optional). Read reference/embedding.md.
  7. PREVIEW with the local authoring loop (below).
  8. VERIFY before you call it done (see "What 'done' means" below). This step is not optional.

The scaffold in step 3 only proves the wiring. It is the start, not the deliverable. What you ship is a production app that meets the recipe below.

What "done" means (production recipe)

A data app you can defend has all of these. Build to this list, not to the scaffold.

  • Real names, never guessed. Every source, view, and field name comes from the model you read in step 2. A name you derived or assumed is a bug waiting to surface as an empty tile.
  • A real name is not the same as a correct measure. Using the model's declared measures is right by default, but a wrong one fails far more quietly than a wrong name: an empty tile is obvious, a plausible wrong number is not. Before a measure reaches a headline, confirm it against the raw column values (reference/design.md step 2 of the inventory). The case that bites is a predicate like != null over a column whose "absent" value is a sentinel string - measured on a real build, that reported 95.6% of police cases cleared where the true figure was 16.6%, and every check in this skill still passed.
  • DOM-only - never `innerHTML` with interpolated values. Build every element with createElement + textContent; do not assign innerHTML (or insertAdjacentHTML, document.write) with any string that contains a model value. Query results render any markup they contain - an XSS vector, and blocked outright under a Trusted-Types CSP. This is a hard build rule, not a lint suggestion: an app that interpolates a model value into innerHTML is not done.
  • Modular, not one inline blob. Split the page into modules per reference/runtime.md (pure formatting helpers, a chart layer, your tile/query definitions as data, a thin entry point). One source of truth for each tile's model/source/view, no parallel maps that drift.
  • Every tile handles loading, empty, and error on its own. One failing query must not blank the page. (reference/runtime.md.)
  • Defensible numbers. Missing ≠ zero (omit the point, don't plot a fake 0); show the latest non-null value for "current"; guard division with nullif; convert units explicitly. (reference/runtime.md.)
  • Visible assumptions. When you assume something (two sources joined by month, an in-month proxy that differs from a certified definition) or a metric is incomplete, say so in the app: a caption, a footnote, a placeholder card with the reason. The non-technical user cannot see your reasoning; bury a caveat and you have misled them. Don't silently drop a metric you couldn't model. Show a placeholder that names what's missing and why.
  • Built to the design brief, not to the model's shape. The app matches the archetype, forms, and depth plan from step 1 (reference/design.md), carries a real token contract (surfaces, text ramp, semantic colors, a categorical chart palette) that the chart code reads at runtime rather than hardcoding, and puts visible weight on the two or three numbers that lead. A uniform grid of same-size cards, or a tile per view, means the brief was skipped.
  • Vendored libraries. Chart and helper libraries live in public/, loaded locally (step 5). When a package agent builds apps, every file it copies into one (a vendored library for public/vendor/, its own components, a template) lives in its skill's assets/ and is copied from there, never pasted into the skill's Markdown (skill:malloy-define-agent).
  • Light, and nothing waits on the chart library. Pages that draw charts preload the library and load it on first use; a page that draws none never loads it. Trim it to the series types the app draws once it is big enough to matter, and verify a trimmed build by reading pixels, because a missing type draws an empty box without an error. One query text per resource, so any cache or prefetch actually hits. (reference/performance.md, which also has two opt-in recipes, answering from the last visit and starting a drawer's queries on intent, each with the conditions it needs.)
  • Holds still while it loads. Script-filled blocks reserve their final size in the HTML, skeletons are sized from what is coming, settled tile heights are remembered for the next visit, and a tile re-running for a new filter keeps its last answer dimmed instead of collapsing. Target: layout shift under 0.1 on a first visit and 0 on a repeat, embedded as well as standalone. (reference/performance.md.)
  • Works embedded. Inside an auto-sized frame there is no viewport: the frame never scrolls, nothing extends past the content, and anything that floats (a drawer, a tray) is placed over the slice of the page the reader can see, keeps its scroll to itself, and returns the reader exactly where they were. A drawer built the standalone way opens at the top of the document and drags the host page up to meet it. (reference/embedding.md, reference/overlays.md.)
  • Lazy-load below the fold, once the page has more than about eight query-backed tiles. ("Many" is not decidable; that is the threshold.) Tiles sitting below the fold is why the technique works, not a second trigger for it - almost every real data app scrolls, so reading it as one makes the rule "always" and contradicts the count. Under that threshold, firing every tile at once is cheaper than the machinery. Don't fire every tile's query on load. reference/lazy-load.md is the recipe: IntersectionObserver (rootMargin ~240px) + a small concurrency cap + reserve each tile's height so lazy tiles don't reflow. Includes the verification trap - on a short/tall-default viewport all tiles intersect at once and you get a false "everything deferred" pass, so test on a deliberately small viewport.
Verify before you call it done

You are building for someone who cannot tell a correct dashboard from a broken one. Verification is your job, not theirs.

  • Validate every query against the model before wiring it in (step 4): confirm it compiles and that the column names match what your render code reads.
  • Load the finished page and confirm every tile shows real numbers: not stuck on "Loading…", not an error, not an empty state you didn't intend. In a headless browser, wait on load plus a content selector, not network idle (publisher.js holds an SSE stream open; see reference/runtime.md). Don't hand-roll this each time - reference/verification-harness.md is a copy-adaptable recipe: a mock sdk/publisher.js returning canned rows keyed by (model, query), a python3 -m http.server webroot, and Playwright assertions (KPIs non-null, no .is-error, no stuck .kit-skeleton, a chart/table present). It also documents the false-"stuck skeleton" trap (assert after the mock's async delay, never on networkidle).
  • Check it embedded, for stability, and through its drawers. Load each page inside the Publisher console (/<env>/<package>/data-apps/<path>) as well as on its own, measure layout shift on a first and a repeat visit, confirm the app never scrolls inside its frame, and open a drawer from well down the page after scrolling the host with real wheel events: the page behind must not move, the drawer must span exactly the visible area, and its scroll must stay in it. reference/verification-harness.md section 4 has the checks. A tile check alone passed on a build where every one of these was broken.
  • Unit-test any non-trivial pure logic (a month-join, a de-cumulation, a unit conversion). Keep that logic in DOM-free helpers so node --test can cover it, and run it.

Minimal scaffold

publisher.json at the package root:

json
{ "name": "my-package", "version": "0.0.1", "description": "..." }

public/index.html is a NEW file you create (make the public/ directory if it does not exist). Load the runtime root-relative, then query. The examples below assume a subscriptions.malloy model with a subscriptions source; the names are illustrative, so swap in your own model and a view it defines.

Start with the smallest page that proves the wiring, dumping the rows:

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
114
Repository forks
26
7-day trend score
24

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