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.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は fabioc-aloha/Alex_Skill_Mall から 379 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
fabioc-aloha/Alex_Skill_Mall収集済み skill 379 件中 19 件を表示しています。
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.
原文の言語: 英語
Guided requirements template for data storytelling projects -- walks users through audience, Big Idea, questions, data sources, and delivery target before any chart is created
原文の言語: 英語
Bundle plugin: installs the complete Visual Storytelling pipeline (brief, ingest, clean, select, deliver). See component SKILLs for detailed specs.
原文の言語: 英語
Chart catalog organized by communication goal, CSAR evaluation loop for AI-generated charts, 5-visual rule, override decision framework, and living gallery references
原文の言語: 英語
Data cleaning, profiling, transformation, and quality gates -- prepares raw data for visualization and analysis
原文の言語: 英語
Ingestion patterns for CSV, JSON, REST API, SQL, Excel, and Parquet -- guides an LLM through loading data from any common source
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
Guided requirements template for data storytelling projects -- walks users through audience, Big Idea, questions, data sources, and delivery target before any chart is created
原文の言語: 英語
Chart catalog organized by communication goal, CSAR evaluation loop for AI-generated charts, 5-visual rule, override decision framework, and living gallery references
原文の言語: 英語
Convert Markdown to PDF via Pandoc with two rendering engines.
原文の言語: 英語
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
原文の言語: 英語
Bundle plugin: installs the complete Visual Storytelling pipeline (brief, ingest, clean, select, deliver). See component SKILLs for detailed specs.
原文の言語: 英語
Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, or memory
原文の言語: 英語
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…
原文の言語: 英語
Detect, classify, and prune stale source stores in the Mall — define what stale means and how to remove gracefully without breaking downstream consumers.
原文の言語: 英語
Evaluate a proposed store for inclusion in Alex_ACT_Plugin_Mall using a quality scorecard
原文の言語: 英語
Comprehensive brain file review — external freshness, internal consistency, semantic accuracy — stamp only after full assessment
原文の言語: 英語