RRepoGEO

REPOGEO REPORT · LITE

ZhangHanDong/makepad-skills

Default branch main · commit 6e16c8d5 · scanned 6/14/2026, 7:32:40 PM

GitHub: 740 stars · 87 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 ZhangHanDong/makepad-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's opening to clarify its role as a learning resource

    Why:

    CURRENT
    Skills for building cross-platform UI applications with Makepad 2.0.
    COPY-PASTE FIX
    This repository provides a comprehensive collection of skills and learning resources for building cross-platform UI applications with Makepad 2.0.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT or Apache-2.0) to clarify usage terms for contributors and users.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a homepage URL to the repository settings, linking to the official Makepad project (e.g., `https://makepad.nl/`) or a dedicated documentation site for these skills if one exists.

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 ZhangHanDong/makepad-skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
iced
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. iced · recommended 2×
  2. egui · recommended 2×
  3. Slint · recommended 2×
  4. Tauri · recommended 2×
  5. Druid · recommended 2×
  • CATEGORY QUERY
    What are good frameworks for building cross-platform graphical user interfaces in Rust?
    you: not recommended
    AI recommended (in order):
    1. iced
    2. egui
    3. Slint
    4. Tauri
    5. Druid
    6. GTK-RS
    7. Qt for Rust

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Rust UI toolkit with declarative layout, event handling, and animation capabilities.
    you: not recommended
    AI recommended (in order):
    1. Dioxus
    2. Slint
    3. iced
    4. egui
    5. Tauri
    6. Yew
    7. Leptos
    8. Druid

    AI recommended 8 alternatives but never named ZhangHanDong/makepad-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
    warn

    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 ZhangHanDong/makepad-skills?
    pass
    AI did not name ZhangHanDong/makepad-skills — likely talking about a different project

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

  • If a team adopts ZhangHanDong/makepad-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ZhangHanDong/makepad-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 ZhangHanDong/makepad-skills solve, and who is the primary audience?
    pass
    AI did not name ZhangHanDong/makepad-skills — likely talking about a different project

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

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ZhangHanDong/makepad-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