RRepoGEO

REPOGEO REPORT · LITE

markdown-viewer/skills

Default branch main · commit c9c64d1f · scanned 5/23/2026, 1:48:56 AM

GitHub: 2,492 stars · 153 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 markdown-viewer/skills, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to clarify purpose

    Why:

    CURRENT
    # Markdown Viewer Agent Skills
    COPY-PASTE FIX
    # AI Agent Skills: Generate Diagrams & Visualizations in Markdown
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, generative-ai, markdown, diagrams, data-visualization, agent-skills, coding-agents, visualization-tools
  • mediumlicense#3
    Add a standard open-source license file

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root.

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 markdown-viewer/skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mermaid-js/mermaid
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mermaid-js/mermaid · recommended 1×
  2. plantuml/plantuml · recommended 1×
  3. graphviz/graphviz · recommended 1×
  4. gera2ld/markmap · recommended 1×
  5. yhatt/kroki · recommended 1×
  • CATEGORY QUERY
    How can AI coding agents create diagrams and visualizations directly from Markdown?
    you: not recommended
    AI recommended (in order):
    1. Mermaid.js (mermaid-js/mermaid)
    2. PlantUML (plantuml/plantuml)
    3. Graphviz (graphviz/graphviz)
    4. Markmap (gera2ld/markmap)
    5. Kroki.io (yhatt/kroki)
    6. Vega-Lite (vega/vega-lite)
    7. D2 (terrastruct/d2)

    AI recommended 7 alternatives but never named markdown-viewer/skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enhance AI agent capabilities for generating technical documentation with diagrams?
    you: not recommended
    AI recommended (in order):
    1. Mermaid.js
    2. PlantUML
    3. Graphviz (DOT language)
    4. draw.io (now diagrams.net)
    5. Excalidraw
    6. Ditaa

    AI recommended 6 alternatives but never named markdown-viewer/skills. 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 markdown-viewer/skills?
    pass
    AI named markdown-viewer/skills explicitly

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

  • If a team adopts markdown-viewer/skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named markdown-viewer/skills 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 markdown-viewer/skills solve, and who is the primary audience?
    pass
    AI named markdown-viewer/skills explicitly

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

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markdown-viewer/skills — 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