{"slug":"calesthio-d3-viz","name":"d3-viz","description":"Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.","long_description":"---\nname: d3-viz\ndescription: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.\n---\n\n# D3.js Visualisation\n\n## Overview\n\nThis skill provides guidance for creating sophisticated, interactive data visualisations using d3.js. D3.js (Data-Driven Documents) excels at binding data to DOM elements and applying data-driven transformations to create custom, publication-quality visualisations with precise control over every visual element. The techniques work across any JavaScript environment, including vanilla JavaScript, React, Vue, Svelte, and other frameworks.\n\n## When to use d3.js\n\n**Use d3.js for:**\n- Custom visualisations requiring unique visual encodings or layouts\n- Interactive explorations with complex pan, zoom, or brush behaviours\n- Network/graph visualisations (force-directed layouts, tree diagrams, hierarchies, chord diagrams)\n- Geographic visualisations with custom projections\n- Visualisations requiring smooth, choreographed transitions\n- Publication-quality graphics with fine-grained styling control\n- Novel chart types not available in standard libraries\n\n**Consider alternatives for:**\n- 3D visualisations - use Three.js instead\n\n## Core workflow\n\n### 1. Set up d3.js\n\nImport d3 at the top of your script:\n\n```javascript\nimport * as d3 from 'd3';\n```\n\nOr use the CDN version (7.x):\n\n```html\n<script src=\"https://d3js.org/d3.v7.min.js\"></script>\n```\n\nAll modules (scales, axes, shapes, transitions, etc.) are accessible through the `d3` namespace.\n\n### 2. Choose the integration pattern\n\n**Pattern A: Direct DOM manipulation (recommended for most cases)**\nUse d3 to select DOM elements and manipulate them imperatively. This works in any JavaScript environment:\n\n```javascript\nfunction drawChart(data) {\n  if (!data || data.length === 0) return;\n\n  const svg = d3.select('#chart'); // Select by ID, class, or DOM element\n\n  // Clear previous content\n  svg.selectAll(\"*\").remove();\n\n  // Set up dimensions\n  const width = 800;\n  const height = 400;\n  const margin = { top: 20, right: 30, bottom: 40, left: 50 };\n\n  // Create scales, axes, and draw visualisation\n  // ... d3 code here ...\n}\n\n// Call when data changes\ndrawChart(myData);\n```\n\n**Pattern B: Declarative rendering (for frameworks with templating)**\nUse d3 for data calculations (scales, layouts) but render elements via your framework:\n\n```javascript\nfunction getChartElements(data) {\n  const xScale = d3.scaleLinear()\n    .domain([0, d3.max(data, d => d.value)])\n    .range([0, 400]);\n\n  return data.map((d, i) => ({\n    x: 50,\n    y: i * 30,\n    width: xScale(d.value),\n    height: 25\n  }));\n}\n\n// In React: {getChartElements(data).map((d, i) => <rect key={i} {...d} fill=\"steelblue\" />)}\n// In Vue: v-for directive over the returned array\n// In vanilla JS: Create elements manually from the returned data\n```\n\nUse Pattern A for complex visualisations with transitions, interactions, or when leveraging d3's full capabilities. Use Pattern B for simpler visualisations or when your framework prefers declarative rendering.\n\n### 3. Structure the visualisation code\n\nFollow this standard structure in your drawing function:\n\n```javascript\nfunction drawVisualization(data) {\n  if (!data || data.length === 0) return;\n\n  const svg = d3.select('#chart'); // Or pass a selector/element\n  svg.selectAll(\"*\").remove(); // Clear previous render\n\n  // 1. Define dimensions\n  const width = 800;\n  const height = 400;\n  const margin = { top: 20, right: 30, bottom: 40, left: 50 };\n  const innerWidth = width - margin.left - margin.right;\n  const innerHeight = height - margin.top - margin.bottom;\n\n  // 2. Create main group with margins\n  const g = svg.append(\"g\")\n    .attr(\"transform\", `translate(${margin.left},${margin.top})`);\n\n  // 3. Create scales\n  const xScale = d3.scaleLinear()\n    .domain([0, d3.max(data, d => d.x)])\n    .range([0, innerWidth]);\n\n  const yScale = d3.scaleLinear()\n    .domain([0, d3.max(data, d => d.y)])\n    .range([innerHeight, 0]); // Note: inverted for SVG coordinates\n\n  // 4. Create and append axes\n  const xAxis = d3.axisBottom(xScale);\n  const yAxis = d3.axisLeft(yScale);\n\n  g.append(\"g\")\n    .attr(\"transform\", `translate(0,${innerHeight})`)\n    .call(xAxis);\n\n  g.append(\"g\")\n    .call(yAxis);\n\n  // 5. Bind data and create visual elements\n  g.selectAll(\"circle\")\n    .data(data)\n    .join(\"circle\")\n    .attr(\"cx\", d => xScale(d.x))\n    .attr(\"cy\", d => yScale(d.y))\n    .attr(\"r\", 5)\n    .attr(\"fill\", \"steelblue\");\n}\n\n// Call when data changes\ndrawVisualization(myData);\n```\n\n### 4. Implement responsive sizing\n\nMake visualisations responsive to container size:\n\n```javascript\nfunction setupResponsiveChart(containerId, data) {\n  const container = document.getElementById(containerId);\n  const svg = d3.select(`#${containerId}`).append('svg');\n\n  function updateChart() {\n    const { width, height } = container.getBoundingClientRect();\n    svg.attr('width', width).attr('height', height);\n\n    // Redraw visualisation with new dimensions\n    drawChart(data, svg, width, height);\n  }\n\n  // Update on initial load\n  updateChart();\n\n  // Update on window resize\n  window.addEventListener('resize', updateChart);\n\n  // Return cleanup function\n  return () => window.removeEventListener('resize', updateChart);\n}\n\n// Usage:\n// const cleanup = setupResponsiveChart('chart-container', myData);\n// cleanup(); // Call when component unmounts or element removed\n```\n\nOr use ResizeObserver for more direct container monitoring:\n\n```javascript\nfunction setupResponsiveChartWithObserver(svgElement, data) {\n  const observer = new ResizeObserver(() => {\n    const { width, height } = svgElement.getBoundingClientRect();\n    d3.select(svgElement)\n      .attr('width', width)\n      .attr('height', height);\n\n    // Redraw visualisation\n    drawChart(data, d3.select(svgElement), width, height);\n  });\n\n  observer.observe(svgElement.parentElement);\n  return () => observer.disconnect();\n}\n```\n\n## Common visualisation patterns\n\n### Bar chart\n\n```javascript\nfunction drawBarChart(data, svgElement) {\n  if (!data || data.length === 0) return;\n\n  const svg = d3.select(svgElement);\n  svg.selectAll(\"*\").remove();\n\n  const width = 800;\n  const height = 400;\n  const margin = { top: 20, right: 30, bottom: 40, left: 50 };\n  const innerWidth = width - margin.left - margin.right;\n  const innerHeight = height - margin.top - margin.bottom;\n\n  const g = svg.append(\"g\")\n    .attr(\"transform\", `translate(${margin.left},${margin.top})`);\n\n  const xScale = d3.scaleBand()\n    .domain(data.map(d => d.category))\n    .range([0, innerWidth])\n    .padding(0.1);\n\n  const yScale = d3.scaleLinear()\n    .domain([0, d3.max(data, d => d.value)])\n    .range([innerHeight, 0]);\n\n  g.append(\"g\")\n    .attr(\"transform\", `translate(0,${innerHeight})`)\n    .call(d3.axisBottom(xScale));\n\n  g.append(\"g\")\n    .call(d3.axisLeft(yScale));\n\n  g.selectAll(\"rect\")\n    .data(data)\n    .join(\"rect\")\n    .attr(\"x\", d => xScale(d.category))\n    .attr(\"y\", d => yScale(d.value))\n    .attr(\"width\", xScale.bandwidth())\n    .attr(\"height\", d => innerHeight - yScale(d.value))\n    .attr(\"fill\", \"steelblue\");\n}\n\n// Usage:\n// drawBarChart(myData, document.getElementById('chart'));\n```\n\n### Line chart\n\n```javascript\nconst line = d3.line()\n  .x(d => xScale(d.date))\n  .y(d => yScale(d.value))\n  .curve(d3.curveMonotoneX); // Smooth curve\n\ng.append(\"path\")\n  .datum(data)\n  .attr(\"fill\", \"none\")\n  .attr(\"stroke\", \"steelblue\")\n  .attr(\"stroke-width\", 2)\n  .attr(\"d\", line);\n```\n\n### Scatter plot\n\n```javascript\ng.selectAll(\"circle\")\n  .data(data)\n  .join(\"circle\")\n  .attr(\"cx\", d => xScale(d.x))\n  .attr(\"cy\", d => yScale(d.y))\n  .attr(\"r\", d => sizeScale(d.size)) // Optional: size encoding\n  .attr(\"fill\", d => colourScale(d.category)) // Optional: colour encoding\n  .attr(\"opacity\", 0.7);\n```\n\n### Chord diagram\n\nA chord diagram shows relationships between entities in a circular layout, with ribbons representing flows between them:\n\n```javascript\nfunction drawChordDiagram(data) {\n  // data format: array of objects with source, target, and value\n  // Example: [{ source: 'A', target: 'B', value: 10 }, ...]\n\n  if (!data || data.length === 0) return;\n\n  const svg = d3.select('#chart');\n  svg.selectAll(\"*\").remove();\n\n  const width = 600;\n  const height = 600;\n  const innerRadius = Math.min(width, height) * 0.3;\n  const outerRadius = innerRadius + 30;\n\n  // Create matrix from data\n  const nodes = Array.from(new Set(data.flatMap(d => [d.source, d.target])));\n  const matrix = Array.from({ length: nodes.length }, () => Array(nodes.length).fill(0));\n\n  data.forEach(d => {\n    const i = nodes.indexOf(d.source);\n    const j = nodes.indexOf(d.target);\n    matrix[i][j] += d.value;\n    matrix[j][i] += d.value;\n  });\n\n  // Create chord layout\n  const chord = d3.chord()\n    .padAngle(0.05)\n    .sortSubgroups(d3.descending);\n\n  const arc = d3.arc()\n    .innerRadius(innerRadius)\n    .outerRadius(outerRadius);\n\n  const ribbon = d3.ribbon()\n    .source(d => d.source)\n    .target(d => d.target);\n\n  const colourScale = d3.scaleOrdinal(d3.schemeCategory10)\n    .domain(nodes);\n\n  const g = svg.append(\"g\")\n    .attr(\"transform\", `translate(${width / 2},${height / 2})`);\n\n  const chords = chord(matrix);\n\n  // Draw ribbons\n  g.append(\"g\")\n    .attr(\"fill-opacity\", 0.67)\n    .selectAll(\"path\")\n    .data(chords)\n    .join(\"path\")\n    .attr(\"d\", ribbon)\n    .attr(\"fill\", d => colourScale(nodes[d.source.index]))\n    .attr(\"stroke\", d => d3.rgb(colourScale(nodes[d.source.index])).darker());\n\n  // Draw groups (arcs)\n  const group = g.append(\"g\")\n    .selectAll(\"g\")\n    .data(chords.groups)\n    .join(\"g\");\n\n  group.append(\"path\")\n    .attr(\"d\", arc)\n    .attr(\"fill\", d => colourScale(nodes[d.index]))\n    .attr(\"stroke\", d => d3.rgb(colourScale(nodes[d.index])).darker());\n\n  // Add labels\n  group.append(\"text\")\n    .each(d => { d.angle = (d.startAngle + d.endAngle) / 2; })\n    .attr(\"dy\", \"0.31em\")\n    .attr(\"transform\", d => `rotate(${(d.angle * 180 / Math.PI) - 90})translate(${outerRadius + 30})${d.angle > Math.PI ? \"rotate(180)\" : \"\"}`)\n    .attr(\"text-anchor\", d => d.angle > Math.PI ? \"end\" : null)\n    .text((d, i) => nodes[i])\n    .style(\"font-size\", \"12px\");\n}\n```\n\n### Heatmap\n\nA heatmap uses colour to encode values in a two-dimensional grid, useful for showing patterns across categories:\n\n```javascript\nfunction drawHeatmap(data) {\n  // data format: array of objects with row, column, and value\n  // Example: [{ row: 'A', column: 'X', value: 10 }, ...]\n\n  if (!data || data.length === 0) return;\n\n  const svg = d3.select('#chart');\n  svg.selectAll(\"*\").remove();\n\n  const width = 800;\n  const height = 600;\n  const margin = { top: 100, right: 30, bottom: 30, left: 100 };\n  const innerWidth = width - margin.left - margin.right;\n  const innerHeight = height - margin.top - margin.bottom;\n\n  // Get unique rows and columns\n  const rows = Array.from(new Set(data.map(d => d.row)));\n  const columns = Array.from(new Set(data.map(d => d.column)));\n\n  const g = svg.append(\"g\")\n    .attr(\"transform\", `translate(${margin.left},${margin.top})`);\n\n  // Create scales\n  const xScale = d3.scaleBand()\n    .domain(columns)\n    .range([0, innerWidth])\n    .padding(0.01);\n\n  const yScale = d3.scaleBand()\n    .domain(rows)\n    .range([0, innerHeight])\n    .padding(0.01);\n\n  // Colour scale for values\n  const colourScale = d3.scaleSequential(d3.interpolateYlOrRd)\n    .domain([0, d3.max(data, d => d.value)]);\n\n  // Draw rectangles\n  g.selectAll(\"rect\")\n    .data(data)\n    .join(\"rect\")\n    .attr(\"x\", d => xScale(d.column))\n    .attr(\"y\", d => yScale(d.row))\n    .attr(\"width\", xScale.bandwidth())\n    .attr(\"height\", yScale.bandw","tagline":"Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or i","category":"design-creative","tags":["agent-skill"],"author":"calesthio","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"calesthio/OpenMontage","creatorName":"calesthio","creatorUrl":"https://github.com/calesthio","sourceUrl":"https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/calesthio-d3-viz#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":55527,"forks":6940,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":56.61},"quality":{"score":94,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"56K","tone":"positive"},{"label":"Freshness","value":"16d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"AGPL-3.0","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":83,"base_score":86,"outcome_confidence":0,"tier":"strong","label":"Review then install","summary":"Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.","recommendedAction":"Use as the primary candidate after human or sandbox 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license, and permission surface"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["design-creative","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":[],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":86,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability."}}},"trust_score_v4":{"version":"trust-score-v4","score":86,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"56K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"56K stars, 6.9K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"16d since push"},{"id":"license","label":"License 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Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":83,"level":"safe_to_install","label":"Safe to install with normal review","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"allow","reasons":["Safe-to-try audit","83/100 agent safety score"]},"auto_install_allowed":true,"human_review_required":false,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":[],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"allow","auto_install_allowed":true,"blocked":false,"human_review_required":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","83/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":88,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_allowed":false,"policy":"allow","human_review_required":true},"blockers":[],"warnings":["Permission surface: filesystem or document access, network or browser access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate d3-viz before installing it in an agent workflow","design-creative","Coding agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add calesthio/OpenMontage --skill d3-viz"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add calesthio/OpenMontage --skill d3-viz"]},{"id":"trust_score","label":"Trust score","status":"pass","score":86,"required_for_auto_install":true,"detail":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","evidence":["Production candidate","56K GitHub stars","AGPL-3.0"]},{"id":"audit_score","label":"Audit score","status":"pass","score":91,"required_for_auto_install":true,"detail":"Safe to try","evidence":["No major audit warning from metadata."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"pass","score":83,"required_for_auto_install":true,"detail":"Good audit and safety signals with no high-risk permission hints in public metadata.","evidence":["Review the audit page, then allow agent install in a sandboxed workflow.","Safe-to-try audit"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"AGPL-3.0","evidence":["AGPL-3.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"16d since push","evidence":["16d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":72,"required_for_auto_install":true,"detail":"filesystem or document access, network or browser access","evidence":["Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/calesthio-d3-viz/evals","api":"/api/agent/evals?slug=calesthio-d3-viz","text":"/api/agent/evals?slug=calesthio-d3-viz&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"calesthio-d3-viz","name":"d3-viz","description":"Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.","category":"design-creative","url":"https://www.openagentskill.com/skills/calesthio-d3-viz","repository":"https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz","github_repo":"calesthio/OpenMontage"},"suited_tasks":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals","Inspect source files","Explain architecture","Patch bugs and verify changes","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add calesthio/OpenMontage --skill d3-viz","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add calesthio-d3-viz"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"d3-viz\" agent skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"d3-viz\" as a Claude Code skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"d3-viz\" from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/calesthio-d3-viz/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/calesthio-d3-viz"},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"56K GitHub stars","repoActivity":"56K stars, 6.9K forks","lastPushed":"16d since push","license":"AGPL-3.0","repository":"https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz","install":"npx skills add calesthio/OpenMontage --skill d3-viz","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["design-creative","agent-skill"],"known_risks":[]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.","category":"design-creative","url":"https://www.openagentskill.com/skills/calesthio-d3-viz","repository":"https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz","github_repo":"calesthio/OpenMontage"},"suited_tasks":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals","Inspect source files","Explain architecture","Patch bugs and verify changes","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add calesthio/OpenMontage --skill d3-viz","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add calesthio-d3-viz"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"d3-viz\" agent skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"d3-viz\" as a Claude Code skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"d3-viz\" from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/calesthio-d3-viz/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/calesthio-d3-viz"},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"56K GitHub stars","repoActivity":"56K stars, 6.9K forks","lastPushed":"16d since push","license":"AGPL-3.0","repository":"https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz","install":"npx skills add calesthio/OpenMontage --skill d3-viz","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["design-creative","agent-skill"],"known_risks":[]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"allow","auto_install_allowed":true,"human_review_required":false,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":94,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"16d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","No major trust warnings detected from available metadata","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use d3-viz in an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"allow","minimum_review_before_use":["Trust: 86/100 Production candidate","Audit: 91/100 Safe to try","Safety: 83/100 Safe to install with normal review","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"calesthio-d3-viz (d3-viz)","install_command":"npx skills add calesthio/OpenMontage --skill d3-viz","risk_summary":"Safe to try; Reviewed; Low metadata risk","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"calesthio-d3-viz","task":"Use d3-viz in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/calesthio-d3-viz","api":"https://www.openagentskill.com/api/agent/skills/calesthio-d3-viz","audit":"https://www.openagentskill.com/skills/calesthio-d3-viz/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=calesthio-d3-viz&task=Use%20d3-viz%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20d3-viz%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20d3-viz%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/calesthio-d3-viz/install","manifest":"https://www.openagentskill.com/api/registry/manifest/calesthio-d3-viz"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"coding-agents","title":"Coding agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add calesthio/OpenMontage --skill d3-viz","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":55527,"starsLabel":"56K","forks":6940,"license":"AGPL-3.0","qualityScore":94,"trustScore":86,"auditScore":91},"maintenance":{"status":"fresh","label":"16d since push","daysSincePush":16,"lastPushedAt":"2026-08-22T18:22:24+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":false,"notes":["No major risk signals from available metadata"]},"coverageTags":["Research","RAG and knowledge","design-creative","agent-skill"]},"audit":{"audit_score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","quality_score":94,"trust_score":86,"maintenance_score":100,"security_score":86,"install_score":92,"warnings":[]},"quality_signals":{"model":"v2","star_score":33.21,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"}],"stacks":[{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"}],"install":"npx skills add calesthio/OpenMontage --skill d3-viz","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add calesthio-d3-viz","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"d3-viz\" agent skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"d3-viz\" as a Claude Code skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"d3-viz\" from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"calesthio-d3-viz\",\"task\":\"Install d3-viz\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz","github_repo":"calesthio/OpenMontage","version":"1.0.0","license":"AGPL-3.0","urls":{"web":"https://www.openagentskill.com/skills/calesthio-d3-viz","repository":"https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/d3-viz","api":"/api/agent/skills/calesthio-d3-viz","install_api":"/api/skills/calesthio-d3-viz/install"},"meta":{"created_at":"2026-09-02T13:23:58.041009+00:00","updated_at":"2026-09-02T13:23:58.319846+00:00","agent_friendly":true}}