RRepoGEO

REPOGEO REPORT · LITE

coleam00/excalidraw-diagram-skill

Default branch main · commit 8646fcc9 · scanned 5/23/2026, 9:12:39 PM

GitHub: 3,235 stars · 403 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface coleam00/excalidraw-diagram-skill, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Choose a standard open-source license (e.g., MIT, Apache-2.0) and add its full text to a file named `LICENSE` in the root of the repository.
  • mediumreadme#2
    Refine README's opening to emphasize 'AI agent skill' and target audience

    Why:

    CURRENT
    # Excalidraw Diagram Skill
    
    A coding agent skill that generates beautiful and practical Excalidraw diagrams from natural language descriptions. Not just boxes-and-arrows - diagrams that **argue visually**.
    
    Compatible with any coding agent that supports skills. For agents that read from `.claude/skills/` (like Claude Code and OpenCode), just drop it in and go.
    COPY-PASTE FIX
    # Excalidraw Diagram Skill for AI Coding Agents
    
    An essential skill for AI coding agents (like Claude Code and OpenCode) to generate beautiful, practical, and visually argumentative Excalidraw diagrams directly from natural language descriptions. This skill is designed for seamless integration into any agent environment that supports custom skills, enabling sophisticated visual communication beyond simple boxes-and-arrows.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface coleam00/excalidraw-diagram-skill
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mermaid.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mermaid.js · recommended 1×
  2. PlantUML · recommended 1×
  3. Graphviz · recommended 1×
  4. Excalidraw · recommended 1×
  5. BlockDiag · recommended 1×
  • CATEGORY QUERY
    How can my AI coding assistant generate visual diagrams from natural language?
    you: not recommended
    AI recommended (in order):
    1. Mermaid.js
    2. PlantUML
    3. Graphviz
    4. Excalidraw
    5. BlockDiag
    6. Kroki

    AI recommended 6 alternatives but never named coleam00/excalidraw-diagram-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to generate technical diagrams with code snippets and visual validation?
    you: not recommended
    AI recommended (in order):
    1. Mermaid.js (mermaid-js/mermaid)
    2. PlantUML (plantuml/plantuml)
    3. Graphviz (graphviz/graphviz)
    4. Kroki (yhatt/kroki)
    5. Excalidraw (excalidraw/excalidraw)
    6. draw.io (jgraph/drawio)
    7. Lucidchart

    AI recommended 7 alternatives but never named coleam00/excalidraw-diagram-skill. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of coleam00/excalidraw-diagram-skill?
    pass
    AI named coleam00/excalidraw-diagram-skill explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts coleam00/excalidraw-diagram-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named coleam00/excalidraw-diagram-skill explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo coleam00/excalidraw-diagram-skill solve, and who is the primary audience?
    pass
    AI named coleam00/excalidraw-diagram-skill explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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coleam00/excalidraw-diagram-skill — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite