Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
NYT-discipline data visualization. Applies the design rules of The New York Times graphics desk + Upshot — color, typography, annotation, chart-type selection — to make any chart render at Times grade. Use whenever generating charts, dashboards, reports, or data-driven webpages. Triggers: "make this chart look professional", "NYT style", "editorial chart", "data viz", "dashboard design".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Produce New York Times / Upshot–grade charts and dashboards: the typography, color restraint, chart-type judgment, and annotation discipline of the NYT graphics desk — for both static charts (Observable Plot) and hand-built interactive D3 dashboards.
Any time you generate a chart, graph, dashboard, or data visualization and want it to read as editorial, trustworthy, and crafted — not a default library chart. Single charts, multi-panel dashboards, and scrollable data stories.
tabular-nums on ALL numeric labels so digits don't jitter.# Sequential ramps — ColorBrewer-derived, NYT-tuned. Monotonic luminance, colorblind-safe.
SEQUENTIAL = {
"blue": ["#f7fbff", "#deebf7", "#c6dbef", "#9ecae1", "#6baed6", "#4292c6", "#2171b5", "#08519c", "#08306b"],
"red": ["#fff5f0", "#fee0d2", "#fcbba1", "#fc9272", "#fb6a4a", "#ef3b2c", "#cb181d", "#a50f15", "#67000d"],
"green": ["#f7fcf5", "#e5f5e0", "#c7e9c0", "#a1d99b", "#74c476", "#41ab5d", "#238b45", "#006d2c", "#00441b"],
"grey": ["#ffffff", "#f0f0f0", "#d9d9d9", "#bdbdbd", "#969696", "#737373", "#525252", "#252525", "#000000"],
}
# NYT-house accent palette
NYT_ACCENT = "#d62728" # signature NYT red
NYT_BLUE = "#1f77b4"
NYT_GREY = "#bdbdbd"
NYT_BG = "#ffffff"
NYT_GRID = "#e9e9e9"
NYT_TEXT = "#121212"
# Categorical — max 7 hues. Beyond 7, use small multiples.
CATEGORICAL = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc948", "#b07aa1"]
:root {
--font-display: "Playfair Display", Georgia, serif;
--font-body: "Source Serif 4", Georgia, serif;
--font-sans: "Libre Franklin", Helvetica, Arial, sans-serif;
}
/* Numeric labels — tabular figures so transitions don't jitter */
.axis text, .value-label {
font-variant-numeric: tabular-nums;
font-feature-settings: "tnum" 1;
}
/* Axis styling — minimal, no chart-junk */
.axis line, .axis path { stroke: #cccccc; shape-rendering: crispEdges; }
.axis .domain { display: none; } /* no axis spine */
.gridline { stroke: #e9e9e9; stroke-dasharray: none; shape-rendering: crispEdges; }
<link href="https://fonts.googleapis.com/css2?family=Libre+Franklin:wght@400;500;600;700&family=Playfair+Display:ital,wght@0,700;0,900;1,700&family=Source+Serif+4:opsz,wght@8..60,400;8..60,600&display=swap" rel="stylesheet">
Each rule prevents a real, observed bug.
The transparent hover <rect> MUST be appended to the SAME margin-translated <g> as the marks.
// WRONG — overlay on svg root, marks in g(translate(m.left,m.top)) → off-by-margin
svg.append("rect").attr("x", m.left).attr("y", m.top) /* ... */;
// RIGHT — overlay in the same g as the marks; pointer == mark space
g.append("rect").attr("width", iw).attr("height", ih).attr("fill","transparent")
.on("mousemove", function(ev){ const [mx,my] = d3.pointer(ev, this); /* find */ });
Never make the user hover a 2–3px dot. Build a Delaunay over the marks and snap to the nearest.
const pts = data.map(d => [x(d.k), y(d.v), d]);
const del = d3.Delaunay.from(pts, p=>p[0], p=>p[1]);
// inside mousemove: const i = del.find(mx, my); const d = pts[i][2];
Anchor the tooltip to the hovered mark's on-screen box and CSS-transition left/top.
.tooltip{position:fixed;opacity:0;transform:translate(-50%,calc(-100% - 12px));
transition:opacity 140ms ease, left 200ms cubic-bezier(.22,.61,.36,1),
top 200ms cubic-bezier(.22,.61,.36,1);}
function tipAtNode(node, html){
const r = node.getBoundingClientRect();
tip.innerHTML = html;
tip.style.left = (r.left+r.width/2)+"px";
tip.style.top = r.top+"px";
tip.style.opacity = 1;
}
A hand-typed round cap pushes outliers off-canvas.
// WRONG: const x = d3.scaleLinear().domain([0,10]);
const maxTotal = d3.max(data, d=>d.total);
const x = d3.scaleLinear().domain([0, maxTotal]).range([0, iw]);
Give annotation text a paper-colored HALO.
.anno,.anno-sub{paint-order:stroke fill;stroke:var(--panel);stroke-width:3px;stroke-linejoin:round}
function voronoiHover(g, pts, nodes, w, h, onEnter, onLeave){
const del = d3.Delaunay.from(pts, p=>p[0], p=>p[1]);
g.append("rect").attr("width",w).attr("height",h).attr("fill","transparent") // Rule A
.on("mousemove", function(ev){ const [mx,my]=d3.pointer(ev,this); // Rule B
const i = del.find(mx,my); onEnter(pts[i][2], i, nodes ? nodes[i] : null); })
.on("mouseleave", onLeave);
}
Every chart should have:
d3.max (D).<g> (A).<script>, run node --check, and JSON.parse the embedded data blob.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
日本語の概要は準備中です。原文の説明を表示しています。