RRepoGEO

REPOGEO REPORT · LITE

Owl-Listener/designer-skills

Default branch main · commit 5446f2a8 · scanned 5/27/2026, 10:33:31 AM

GitHub: 1,381 stars · 247 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 Owl-Listener/designer-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

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

OVERALL DIRECTION
  • highreadme#1
    Refine the README's opening sentence for clearer positioning

    Why:

    CURRENT
    Agentic skills, commands, and plugins for design — from research to systems, UI, interaction, and delivery.
    COPY-PASTE FIX
    A comprehensive collection of agentic skills, commands, and plugins designed to empower AI agents across the entire design process, from user research to UI, interaction, and delivery.
  • mediumcomparison#2
    Add a 'How is this different?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, '## How is this different from [Tool X]?' or '## Why use Designer Skills Collection?', to explicitly clarify that this repository provides agentic skills and plugins for AI systems, rather than being a standalone design tool or platform like Uizard or ChatGPT.

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 Owl-Listener/designer-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Uizard
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Uizard · recommended 2×
  2. ChatGPT · recommended 1×
  3. Claude · recommended 1×
  4. Gemini · recommended 1×
  5. Dovetail · recommended 1×
  • CATEGORY QUERY
    How can AI agents assist with user research and UI design tasks?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Claude
    3. Gemini
    4. Dovetail
    5. UserTesting
    6. Miro
    7. Similarweb
    8. SEMrush
    9. Uizard
    10. Figma
    11. Builder.io's Figma plugin
    12. Magician
    13. Locofy.ai
    14. Adobe XD
    15. axe DevTools (by Deque Systems)
    16. Stark
    17. Sketch
    18. Copy.ai
    19. Jasper

    AI recommended 19 alternatives but never named Owl-Listener/designer-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some AI-driven tools or frameworks for enhancing various design workflows?
    you: not recommended
    AI recommended (in order):
    1. Adobe Sensei
    2. Midjourney
    3. Magician for Figma
    4. FigJam AI
    5. DALL-E 3
    6. ChatGPT Plus
    7. Microsoft Copilot
    8. RunwayML
    9. Uizard
    10. Galileo AI

    AI recommended 10 alternatives but never named Owl-Listener/designer-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 Owl-Listener/designer-skills?
    pass
    AI did not name Owl-Listener/designer-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 Owl-Listener/designer-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Owl-Listener/designer-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 Owl-Listener/designer-skills solve, and who is the primary audience?
    pass
    AI did not name Owl-Listener/designer-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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Owl-Listener/designer-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