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architecture-diagram
Architecture and component diagrams as HTML/SVG (dark-themed)
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Architecture and component diagrams as HTML/SVG (dark-themed)
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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SOC 職業分類に基づく
| name | architecture-diagram |
| description | Architecture and component diagrams as HTML/SVG (dark-themed) |
| category | creative |
| version | 1.0.0 |
| origin | aiden |
| license | Apache-2.0 |
| tags | architecture, diagram, svg, html, dark-theme, system-design, visualization, components, flowchart |
Create dark-themed, professional system architecture and component diagrams rendered as self-contained HTML+SVG files. No external tools needed — output opens in any browser.
Before generating, outline:
- Components: what boxes/nodes exist?
- Relationships: which components talk to which? Direction?
- Groupings: are there logical layers (frontend, backend, data)?
- Key labels: service names, technologies, data formats
import textwrap
def make_diagram(title, components, connections, output="diagram.html"):
"""
components: list of { id, label, x, y, color }
connections: list of { from_id, to_id, label }
"""
box_w, box_h = 160, 50
width = max(c["x"] for c in components) + box_w + 80
height = max(c["y"] for c in components) + box_h + 80
def box(c):
bg = c.get("color", "#1e3a5f")
return f'''<rect x="{c['x']}" y="{c['y']}" width="{box_w}" height="{box_h}" rx="8"
fill="{bg}" stroke="#4a9eff" stroke-width="1.5"/>
<text x="{c['x']+box_w//2}" y="{c['y']+box_h//2+5}" text-anchor="middle"
fill="#e0e8ff" font-family="monospace" font-size="13">{c['label']}</text>'''
id_to_comp = {c["id"]: c for c in components}
def arrow(conn):
a, b = id_to_comp[conn["from_id"]], id_to_comp[conn["to_id"]]
x1, y1 = a["x"] + box_w, a["y"] + box_h // 2
x2, y2 = b["x"], b["y"] + box_h // 2
mid_x = (x1 + x2) // 2
lbl = conn.get("label","")
return f'''<line x1="{x1}" y1="{y1}" x2="{x2}" y2="{y2}"
stroke="#4a9eff" stroke-width="1.5" marker-end="url(#arrow)"/>
<text x="{mid_x}" y="{(y1+y2)//2 - 6}" text-anchor="middle"
fill="#8ab4f8" font-family="monospace" font-size="11">{lbl}</text>'''
html = f"""<!DOCTYPE html><html>
<head><meta charset="utf-8"><title>{title}</title>
<style>body{{background:#0d1117;margin:0;display:flex;justify-content:center;padding:40px}}</style>
</head><body>
<svg width="{width}" height="{height}" xmlns="http://www.w3.org/2000/svg">
<defs><marker id="arrow" markerWidth="10" markerHeight="7" refX="10" refY="3.5" orient="auto">
<polygon points="0 0,10 3.5,0 7" fill="#4a9eff"/></marker></defs>
<text x="{width//2}" y="30" text-anchor="middle" fill="#e0e8ff" font-family="monospace" font-size="18" font-weight="bold">{title}</text>
{"".join(box(c) for c in components)}
{"".join(arrow(conn) for conn in connections)}
</svg></body></html>"""
with open(output, "w") as f:
f.write(html)
print(f"Saved {output} — open in browser")
# Example: 3-tier web app
make_diagram("Web Application Architecture",
components=[
{"id":"browser", "label":"Browser", "x":50, "y":100, "color":"#1a4731"},
{"id":"nginx", "label":"Nginx", "x":280, "y":100, "color":"#1e3a5f"},
{"id":"api", "label":"FastAPI", "x":510, "y":100, "color":"#1e3a5f"},
{"id":"postgres", "label":"PostgreSQL", "x":510, "y":220, "color":"#3d1c4f"},
{"id":"redis", "label":"Redis Cache", "x":280, "y":220, "color":"#4f2a0a"},
],
connections=[
{"from_id":"browser", "to_id":"nginx", "label":"HTTPS"},
{"from_id":"nginx", "to_id":"api", "label":"proxy"},
{"from_id":"api", "to_id":"postgres", "label":"SQL"},
{"from_id":"api", "to_id":"redis", "label":"cache"},
]
)
To show layers (Frontend / Backend / Data), add a background rect before component boxes:
layer_rect = '<rect x="30" y="80" width="220" height="200" rx="12" fill="none" stroke="#334155" stroke-width="1" stroke-dasharray="6,3"/><text x="40" y="72" fill="#64748b" font-family="monospace" font-size="12">Frontend</text>'
"Draw a microservices architecture with API gateway, 3 services, and a database" → Use step 2 with 5 components (gateway, service1/2/3, db) and arrows showing request flow.
"Create a data pipeline diagram: raw data → ETL → warehouse → BI tool" → Use step 2 with a horizontal layout, 4 boxes, connecting arrows with labels for each transform step.
"Visualize a CI/CD pipeline from git push to production" → Components: GitHub, CI Runner, Test Suite, Docker Build, Registry, Deploy → Prod. Horizontal flow.
from_id/to_id if arrows cross