Render data dashboards as static SVG panels embeddable in Markdown. Uses D3.js v7 mental model for scales, shapes, and axes. No runtime JS; output is pure SVG with inline styles for GitHub compatibility.
Quellsprache: Englisch
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fabioc-aloha/Alex_Skill_MallEs werden 19 von 379 gesammelten Skills angezeigt.
Render data dashboards as static SVG panels embeddable in Markdown. Uses D3.js v7 mental model for scales, shapes, and axes. No runtime JS; output is pure SVG with inline styles for GitHub compatibility.
Quellsprache: Englisch
Guided requirements template for data storytelling projects -- walks users through audience, Big Idea, questions, data sources, and delivery target before any chart is created
Quellsprache: Englisch
Bundle plugin: installs the complete Visual Storytelling pipeline (brief, ingest, clean, select, deliver). See component SKILLs for detailed specs.
Quellsprache: Englisch
Chart catalog organized by communication goal, CSAR evaluation loop for AI-generated charts, 5-visual rule, override decision framework, and living gallery references
Quellsprache: Englisch
Data cleaning, profiling, transformation, and quality gates -- prepares raw data for visualization and analysis
Quellsprache: Englisch
Ingestion patterns for CSV, JSON, REST API, SQL, Excel, and Parquet -- guides an LLM through loading data from any common source
Quellsprache: Englisch
Render data dashboards as pure ASCII art in monospace text -- the cheapest, most portable delivery method. No rendering engine, no SVG, no browser. LLM-native output with predictable character geometry.
Quellsprache: Englisch
Render data dashboards as self-contained HTML files using Apache ECharts v6. Single file, zero build step, interactive charts with tooltips and data zoom. Declarative JSON option config optimized for AI generation.
Quellsprache: Englisch
Render data dashboards as static SVG panels embeddable in Markdown. Uses D3.js v7 mental model for scales, shapes, and axes. No runtime JS; output is pure SVG with inline styles for GitHub compatibility.
Quellsprache: Englisch
Guided requirements template for data storytelling projects -- walks users through audience, Big Idea, questions, data sources, and delivery target before any chart is created
Quellsprache: Englisch
Chart catalog organized by communication goal, CSAR evaluation loop for AI-generated charts, 5-visual rule, override decision framework, and living gallery references
Quellsprache: Englisch
Convert Markdown to PDF via Pandoc with two rendering engines.
Quellsprache: Englisch
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
Quellsprache: Englisch
Bundle plugin: installs the complete Visual Storytelling pipeline (brief, ingest, clean, select, deliver). See component SKILLs for detailed specs.
Quellsprache: Englisch
Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, or memory
Quellsprache: Englisch
Maintain the source registry in sources/supported-stores.json — add a new third-party plugin store, retire one, refresh metadata, validate the schema. Use when proposing a registry change, after the weekly cron flags a source as unhealthy, or when a candidate…
Quellsprache: Englisch
Detect, classify, and prune stale source stores in the Mall — define what stale means and how to remove gracefully without breaking downstream consumers.
Quellsprache: Englisch
Evaluate a proposed store for inclusion in Alex_ACT_Plugin_Mall using a quality scorecard
Quellsprache: Englisch
Comprehensive brain file review — external freshness, internal consistency, semantic accuracy — stamp only after full assessment
Quellsprache: Englisch