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/documd-visuals

@2672b69
by Markdown Viewermarkdown-viewer/skills3.4k stars
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Create text-driven visuals in Markdown: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as HTML (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Figures render live. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.

Use this Skill: https://skilld.dev/gh/markdown-viewer/skills/documd-visuals

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goalsdata-exploration.md

≈717 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Goal: data exploration

Reader: Analysts looking for structure, correlation, outliers and missing data. Meta cluster: A — data & metrics Scenarios: 8 · Examples: 10

Scenarios

Scenario Tier Engines Example files
distribution comparison T1 vega metric-distribution-small-multiples.md<br>stripplot-region-spread.md
correlation T1 echarts, vega metric-correlation-matrix.md<br>scatter-segment-correlation.md
composition over time T1 vega streamgraph-topic-composition.md
deviation analysis T1 vega deviation-from-average.md
missing data T1 vega imputed-gap-trend.md
multi metric screen T1 echarts parallel-risk-screen.md
regression fit T1 vega regression-trend-fit.md
small multiples T1 vega segment-pattern-small-multiples.md

Reading order

Correlation and regression for relationships, distributions and small multiples for shape, imputation and deviation for data quality.

Engines in this goal

  • echarts — report-grade charts and dashboards
  • vega / vega-lite — statistical views where the data needs transforms

Details, limits and anti-patterns: ../engines/echarts.md · ../engines/vega.md.

Palette

Every figure takes its colours from a theme. Pick one in ../styles/palette.md — the token contract, the theme index and the per-engine blocks all start there.

Most figures in this set want Default. Depart from it for the medium, not the topic: Print when it may be photocopied, Contrast for low vision or large-print handouts, Vivid when it will be projected, Accessible when colour must not be the only cue, Editorial for long-form reading, Slate for technical reference, Pastel when the figure sits inside gentle prose, Nord for a cool Nordic register. Every theme is designed for a light ground — the set has no dark page.

Don't

  • Drawing conclusions from a fitted line without showing the spread
  • Hiding dropped records → show the imputed or excluded rows
<!-- generated by scripts/build-goals.mjs — edit catalog/scenarios.tsv or the NOTES map -->

Source: SKILL.md on GitHub

Skill behaviors

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

Third-party checks

No alerts16d3 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    This skill provides documentation and examples for creating various visuals in Markdown using engines like ECharts, Vega, PlantUML, and HTML. It recommends using the vendor-owned @markdown-viewer/documd CLI tool for document conversion and verification. The skill itself contains no executable code or malicious patterns.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

Provenance

Signed by skilld at 2672b69. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

Activeupdated 3 weeks ago

Capability

Other metadata
compatibility
Figures are text in the Markdown — fenced blocks or bare HTML — and the host viewer renders them live: nothing to pre-render, build or install. Export to html / epub / docx / pdf is optional and needs Node 18+ and Chrome/Chromium, via `npx @markdown-viewer/documd`.

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