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our-claude-skills/graphify-out/graph.html
Andrew Yim 6c97dfc913 graphify: index ourdigital-okf skill into knowledge graph 
OKF-scoped --update of custom-skills/97-ourdigital-okf (7 code + 19 docs):
+131 nodes (62 AST + 75 semantic), +207 edges, 8 OKF communities, 6 hyperedges
capturing the produce/validate/visualize design and zero-dep utility trio.
Prior graph was code-only; the OKF skill is now queryable. ~172k extraction tokens.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 01:33:44 +09:00

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<title>graphify - graphify-out/graph.html</title>
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<div id="stats">368 nodes &middot; 349 edges &middot; 368 communities</div>
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{"cid": 161, "color": "#F28E2B", "label": "inventory", "count": 12}, {"cid": 162, "color": "#E15759", "label": "validators", "count": 12}, {"cid": 163, "color": "#76B7B2", "label": "ranking reporter", "count": 12}, {"cid": 164, "color": "#59A14F", "label": "content gap analyzer", "count": 12}, {"cid": 165, "color": "#EDC948", "label": "AutoFixer", "count": 12}, {"cid": 166, "color": "#B07AA1", "label": ". init", "count": 12}, {"cid": 167, "color": "#FF9DA7", "label": "thumbnail", "count": 12}, {"cid": 168, "color": "#9C755F", "label": "properties", "count": 11}, {"cid": 169, "color": "#BAB0AC", "label": "properties", "count": 11}, {"cid": 170, "color": "#4E79A7", "label": "Jamie Brand Editor Skill", "count": 11}, {"cid": 171, "color": "#F28E2B", "label": "export to ulysses", "count": 11}, {"cid": 172, "color": "#E15759", "label": "RateLimiter", "count": 11}, {"cid": 173, "color": "#76B7B2", "label": "search llm", "count": 11}, {"cid": 174, "color": "#59A14F", "label": "build deck", "count": 11}, {"cid": 175, "color": "#EDC948", "label": "CheckoutFlowAnalyzer", "count": 11}, {"cid": 176, "color": "#B07AA1", "label": "html2pptx.js", "count": 11}, {"cid": 177, "color": "#FF9DA7", "label": "InternationalAuditor", "count": 11}, {"cid": 178, "color": "#9C755F", "label": ".compare competitors", "count": 11}, {"cid": 179, "color": "#BAB0AC", "label": "Theme Factory Skill", "count": 11}, {"cid": 180, "color": "#4E79A7", "label": "OurDigital Writing Style Guide", "count": 10}, {"cid": 181, "color": "#F28E2B", "label": "OurDigital Estimate Engine Skill", "count": 10}, {"cid": 182, "color": "#E15759", "label": "OKF: ourdigital-okf Skill", "count": 10}, {"cid": 183, "color": "#76B7B2", "label": ".detect toxic links", "count": 10}, {"cid": 184, "color": "#59A14F", "label": "ghost publish", "count": 10}, {"cid": 185, "color": "#EDC948", "label": ". audit content parity", "count": 10}, {"cid": 186, "color": "#B07AA1", "label": ". fetch text", "count": 10}, {"cid": 187, "color": 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{"cid": 214, "color": "#59A14F", "label": "package skill", "count": 7}, {"cid": 215, "color": "#EDC948", "label": "scope.schema.json", "count": 6}, {"cid": 216, "color": "#B07AA1", "label": "Organization", "count": 6}, {"cid": 217, "color": "#FF9DA7", "label": "PPTX Skill", "count": 6}, {"cid": 218, "color": "#9C755F", "label": "audit cleanup.sh", "count": 6}, {"cid": 219, "color": "#BAB0AC", "label": "AnchorDistribution", "count": 6}, {"cid": 220, "color": "#4E79A7", "label": ".track velocity", "count": 6}, {"cid": 221, "color": "#F28E2B", "label": "gtm audit", "count": 6}, {"cid": 222, "color": "#E15759", "label": ".audit", "count": 6}, {"cid": 223, "color": "#76B7B2", "label": ". check language detection", "count": 6}, {"cid": 224, "color": "#59A14F", "label": "jamie youtube batch update", "count": 6}, {"cid": 225, "color": "#EDC948", "label": ".find top movers", "count": 6}, {"cid": 226, "color": "#B07AA1", "label": "recalc", "count": 6}, {"cid": 227, "color": "#FF9DA7", "label": 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{"cid": 326, "color": "#B07AA1", "label": "JHR GA4 Tagging Reference", "count": 1}, {"cid": 327, "color": "#FF9DA7", "label": "OurDigital Journal README", "count": 1}, {"cid": 328, "color": "#9C755F", "label": "KPI Aggregator Script", "count": 1}, {"cid": 329, "color": "#BAB0AC", "label": "\ub208\ubc11 \uc9c0\ubc29 \uc7ac\ubc30\uce58", "count": 1}, {"cid": 330, "color": "#4E79A7", "label": "Mac Optimizer", "count": 1}, {"cid": 331, "color": "#F28E2B", "label": "Mac Optimizer Skill", "count": 1}, {"cid": 332, "color": "#E15759", "label": "init", "count": 1}, {"cid": 333, "color": "#76B7B2", "label": "Multi-Agent Guide", "count": 1}, {"cid": 334, "color": "#59A14F", "label": "NotebookLM Agent", "count": 1}, {"cid": 335, "color": "#EDC948", "label": "NotebookLM Automation", "count": 1}, {"cid": 336, "color": "#B07AA1", "label": "NotebookLM Studio", "count": 1}, {"cid": 337, "color": "#FF9DA7", "label": "Client Reference Library", "count": 1}, {"cid": 338, "color": "#9C755F", "label": 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"reportlab", "count": 1}, {"cid": 351, "color": "#F28E2B", "label": "GTM Audit Report Template", "count": 1}, {"cid": 352, "color": "#E15759", "label": "Review Report Template (Markdown)", "count": 1}, {"cid": 353, "color": "#76B7B2", "label": "Review Result Template (HTML)", "count": 1}, {"cid": 354, "color": "#59A14F", "label": "check fillable fields", "count": 1}, {"cid": 355, "color": "#EDC948", "label": "init", "count": 1}, {"cid": 356, "color": "#B07AA1", "label": "SEO Content Strategy Skill", "count": 1}, {"cid": 357, "color": "#FF9DA7", "label": "SEO Keyword Strategy Skill", "count": 1}, {"cid": 358, "color": "#9C755F", "label": "SEO Link Building Skill", "count": 1}, {"cid": 359, "color": "#BAB0AC", "label": "SEO Position Tracking Skill", "count": 1}, {"cid": 360, "color": "#4E79A7", "label": "SEO SERP Analysis Skill", "count": 1}, {"cid": 361, "color": "#F28E2B", "label": "Claude Code Settings Audit Report", "count": 1}, {"cid": 362, "color": "#E15759", "label": "Frontend Design Skill", "count": 1}, {"cid": 363, "color": "#76B7B2", "label": "Internal Comms Skill", "count": 1}, {"cid": 364, "color": "#59A14F", "label": "Skill Creator Skill", "count": 1}, {"cid": 365, "color": "#EDC948", "label": "\ub208\uc379\ubc11 \ud53c\ubd80\uc808\uac1c\uc220", "count": 1}, {"cid": 366, "color": "#B07AA1", "label": "last-ndc.ts", "count": 1}, {"cid": 367, "color": "#FF9DA7", "label": "TUI Designer", "count": 1}];
// HTML-escape helper — prevents XSS when injecting graph data into innerHTML
function esc(s) {
return String(s).replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;').replace(/"/g,'&quot;').replace(/'/g,'&#39;');
}
// Build vis datasets
const nodesDS = new vis.DataSet(RAW_NODES.map(n => ({
id: n.id, label: n.label, color: n.color, size: n.size,
font: n.font, title: n.title,
_community: n.community, _community_name: n.community_name,
_source_file: n.source_file, _file_type: n.file_type, _degree: n.degree,
})));
const edgesDS = new vis.DataSet(RAW_EDGES.map((e, i) => ({
id: i, from: e.from, to: e.to,
label: '',
title: e.title,
dashes: e.dashes,
width: e.width,
color: e.color,
arrows: { to: { enabled: true, scaleFactor: 0.5 } },
})));
const container = document.getElementById('graph');
const network = new vis.Network(container, { nodes: nodesDS, edges: edgesDS }, {
physics: {
enabled: true,
solver: 'forceAtlas2Based',
forceAtlas2Based: {
gravitationalConstant: -60,
centralGravity: 0.005,
springLength: 120,
springConstant: 0.08,
damping: 0.4,
avoidOverlap: 0.8,
},
stabilization: { iterations: 200, fit: true },
},
interaction: {
hover: true,
tooltipDelay: 100,
hideEdgesOnDrag: true,
navigationButtons: false,
keyboard: false,
},
nodes: { shape: 'dot', borderWidth: 1.5 },
edges: { smooth: { type: 'continuous', roundness: 0.2 }, selectionWidth: 3 },
});
network.once('stabilizationIterationsDone', () => {
network.setOptions({ physics: { enabled: false } });
});
function showInfo(nodeId) {
const n = nodesDS.get(nodeId);
if (!n) return;
const neighborIds = network.getConnectedNodes(nodeId);
const neighborItems = neighborIds.map(nid => {
const nb = nodesDS.get(nid);
const color = nb ? nb.color.background : '#555';
return `<span class="neighbor-link" style="border-left-color:${esc(color)}" onclick="focusNode(${JSON.stringify(nid)})">${esc(nb ? nb.label : nid)}</span>`;
}).join('');
document.getElementById('info-content').innerHTML = `
<div class="field"><b>${esc(n.label)}</b></div>
<div class="field">Type: ${esc(n._file_type || 'unknown')}</div>
<div class="field">Community: ${esc(n._community_name)}</div>
<div class="field">Source: ${esc(n._source_file || '-')}</div>
<div class="field">Degree: ${n._degree}</div>
${neighborIds.length ? `<div class="field" style="margin-top:8px;color:#aaa;font-size:11px">Neighbors (${neighborIds.length})</div><div id="neighbors-list">${neighborItems}</div>` : ''}
`;
}
function focusNode(nodeId) {
network.focus(nodeId, { scale: 1.4, animation: true });
network.selectNodes([nodeId]);
showInfo(nodeId);
}
// Track hovered node — hover detection is more reliable than click params
let hoveredNodeId = null;
network.on('hoverNode', params => {
hoveredNodeId = params.node;
container.style.cursor = 'pointer';
});
network.on('blurNode', () => {
hoveredNodeId = null;
container.style.cursor = 'default';
});
container.addEventListener('click', () => {
if (hoveredNodeId !== null) {
showInfo(hoveredNodeId);
network.selectNodes([hoveredNodeId]);
}
});
network.on('click', params => {
if (params.nodes.length > 0) {
showInfo(params.nodes[0]);
} else if (hoveredNodeId === null) {
document.getElementById('info-content').innerHTML = '<span class="empty">Click a node to inspect it</span>';
}
});
const searchInput = document.getElementById('search');
const searchResults = document.getElementById('search-results');
searchInput.addEventListener('input', () => {
const q = searchInput.value.toLowerCase().trim();
searchResults.innerHTML = '';
if (!q) { searchResults.style.display = 'none'; return; }
const matches = RAW_NODES.filter(n => n.label.toLowerCase().includes(q)).slice(0, 20);
if (!matches.length) { searchResults.style.display = 'none'; return; }
searchResults.style.display = 'block';
matches.forEach(n => {
const el = document.createElement('div');
el.className = 'search-item';
el.textContent = n.label;
el.style.borderLeft = `3px solid ${n.color.background}`;
el.style.paddingLeft = '8px';
el.onclick = () => {
network.focus(n.id, { scale: 1.5, animation: true });
network.selectNodes([n.id]);
showInfo(n.id);
searchResults.style.display = 'none';
searchInput.value = '';
};
searchResults.appendChild(el);
});
});
document.addEventListener('click', e => {
if (!searchResults.contains(e.target) && e.target !== searchInput)
searchResults.style.display = 'none';
});
const hiddenCommunities = new Set();
const selectAllCb = document.getElementById('select-all-cb');
function updateSelectAllState() {
const total = LEGEND.length;
const hidden = hiddenCommunities.size;
selectAllCb.checked = hidden === 0;
selectAllCb.indeterminate = hidden > 0 && hidden < total;
}
function toggleAllCommunities(hide) {
document.querySelectorAll('.legend-item').forEach(item => {
hide ? item.classList.add('dimmed') : item.classList.remove('dimmed');
});
document.querySelectorAll('.legend-cb').forEach(cb => {
cb.checked = !hide;
});
LEGEND.forEach(c => {
if (hide) hiddenCommunities.add(c.cid); else hiddenCommunities.delete(c.cid);
});
const updates = RAW_NODES.map(n => ({ id: n.id, hidden: hide }));
nodesDS.update(updates);
updateSelectAllState();
}
const legendEl = document.getElementById('legend');
LEGEND.forEach(c => {
const item = document.createElement('div');
item.className = 'legend-item';
const cb = document.createElement('input');
cb.type = 'checkbox';
cb.className = 'legend-cb';
cb.checked = true;
cb.addEventListener('change', (e) => {
e.stopPropagation();
if (cb.checked) {
hiddenCommunities.delete(c.cid);
item.classList.remove('dimmed');
} else {
hiddenCommunities.add(c.cid);
item.classList.add('dimmed');
}
const updates = RAW_NODES
.filter(n => n.community === c.cid)
.map(n => ({ id: n.id, hidden: !cb.checked }));
nodesDS.update(updates);
updateSelectAllState();
});
item.innerHTML = `<div class="legend-dot" style="background:${c.color}"></div>
<span class="legend-label">${c.label}</span>
<span class="legend-count">${c.count}</span>`;
item.prepend(cb);
item.onclick = (e) => {
if (e.target === cb) return;
cb.checked = !cb.checked;
cb.dispatchEvent(new Event('change'));
};
legendEl.appendChild(item);
});
</script>
<script>
// Render hyperedges as shaded regions
const hyperedges = [{"id": "okf_three_mode_skill", "label": "OKF produce/validate/visualize skill modes", "nodes": ["182", "143"]}];
// afterDrawing passes ctx already transformed to network coordinate space.
// Draw node positions raw — no manual pan/zoom/DPR math needed.
network.on('afterDrawing', function(ctx) {
hyperedges.forEach(h => {
const positions = h.nodes
.map(nid => network.getPositions([nid])[nid])
.filter(p => p !== undefined);
if (positions.length < 2) return;
ctx.save();
ctx.globalAlpha = 0.12;
ctx.fillStyle = '#6366f1';
ctx.strokeStyle = '#6366f1';
ctx.lineWidth = 2;
ctx.beginPath();
// Centroid and expanded hull in network coordinates
const cx = positions.reduce((s, p) => s + p.x, 0) / positions.length;
const cy = positions.reduce((s, p) => s + p.y, 0) / positions.length;
const expanded = positions.map(p => ({
x: cx + (p.x - cx) * 1.15,
y: cy + (p.y - cy) * 1.15
}));
ctx.moveTo(expanded[0].x, expanded[0].y);
expanded.slice(1).forEach(p => ctx.lineTo(p.x, p.y));
ctx.closePath();
ctx.fill();
ctx.globalAlpha = 0.4;
ctx.stroke();
// Label
ctx.globalAlpha = 0.8;
ctx.fillStyle = '#4f46e5';
ctx.font = 'bold 11px sans-serif';
ctx.textAlign = 'center';
ctx.fillText(h.label, cx, cy - 5);
ctx.restore();
});
});
</script>
</body>
</html>
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