excalidraw-architect-mcp: Skill for Claude Code

.skills/excalidraw-diagram-design/SKILL.md

excalidraw-diagram-design is a skill for Claude Code, Codex from BV-Venky/excalidraw-architect-mcp. It costs 61 tokens per session (1,672 once invoked), scanned A, original, MIT.

A guide for preparing graph data for Excalidraw Architect, a tool that creates diagrams from nodes and connections.

In plain words
What is it for?
Use it to design node-and-edge inputs for architecture diagrams, process flows, and Mermaid-to-Excalidraw conversions.
Why use it?
It helps keep architecture and flow diagrams readable by emphasizing the main data flow instead of every dependency.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is BV-Venky/excalidraw-architect-mcp's own configuration. It tells Claude Code and Codex how to work on excalidraw-architect-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything excalidraw-architect-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to BV-Venky/excalidraw-architect-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/BV-Venky/excalidraw-architect-mcp/main/.skills/excalidraw-diagram-design/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/BV-Venky/excalidraw-architect-mcp

Made for: Claude Code, Codex.

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Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,672 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01672
Opus 5 $0.00030 $0.00836
Sonnet 5 $0.00012 $0.00334
Haiku 4.5 $0.00006 $0.00167

Measured 13d ago against content hash 0374fa367c33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

excalidraw-diagram-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.skills/excalidraw-diagram-design/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Excalidraw Diagram Design Guide

This skill teaches you how to structure the nodes and connections input for the Excalidraw Architect MCP so the auto-layout engine produces clean, readable diagrams - not spaghetti.

Core Principle

The layout engine (Sugiyama algorithm) works best with tree-like, flow-oriented graphs. Your job as the LLM is to model the data flow story, not the import graph.

Graph Topology Rules

1. Keep it tree-like - avoid diamond dependencies

The #1 cause of messy diagrams is multiple nodes connecting to the same shared target.

BAD: 4 arrows all pointing to "models.py"
  mermaid → models
  state   → models
  layout  → models
  builder → models

GOOD: Drop shared infrastructure nodes or show them as a single grouped leaf
  layout → builder → output

Rule: If a node has 4+ incoming edges, either remove it or group it with related nodes.

2. Limit edges to primary data flow

Show how data moves through the system, not every import statement.

BAD (16 edges for 12 nodes - dependency graph):
  server → mermaid, state, layout, excalidraw
  mermaid → models
  state → models, excalidraw_file
  layout → models, grandalf, components
  excalidraw → models, components, themes, excalidraw_file

GOOD (9 edges for 9 nodes - data flow):
  ide → server → [mermaid, state, layout]
  layout → renderer → [styling, output]

Rule: Aim for roughly N-1 to N+2 edges for N nodes (tree + a few extra).

3. Hub nodes should have 3–5 fan-out, not more

The layout engine auto-stretches "hub" nodes (≥3 connections) into gate-like rectangles. This looks great for API gateways, load balancers, and message brokers. But a node with 6+ fan-out creates too many parallel arrows.

GOOD: API Gateway → [Auth, Users, Orders, Payments]  (4 fan-out)
BAD:  Server → [A, B, C, D, E, F, G, H]             (8 fan-out)

Rule: If a node has 6+ connections, split it into two logical stages or group downstream nodes.

4. Keep layers balanced

Read the full file on GitHub · 191 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 191 lines · 61 tokens per session scan A 0374fa367c33

Subscribe to this mod's changes

excalidraw-diagram-design is a skill published in the GitHub repository BV-Venky/excalidraw-architect-mcp (150 stars, last pushed 17d ago), licensed MIT. It adds 61 tokens to every session and 1,672 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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