RRepoGEO

REPOGEO REPORT · LITE

xingkongliang/skills-manager

Default branch main · commit bc3b8575 · scanned 5/27/2026, 8:37:13 AM

GitHub: 1,691 stars · 152 forks

AI VISIBILITY SCORE
28 /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
2 / 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 xingkongliang/skills-manager, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent-skills, desktop-app, prompt-management, coding-tools, ai-assistant, developer-tools, productivity
  • highreadme#2
    Reposition the README's opening tagline

    Why:

    CURRENT
    One app to manage AI agent skills across all your coding tools.
    COPY-PASTE FIX
    Skills Manager is a lightweight desktop application for centralizing and organizing your AI agent skills and prompts across various coding environments and AI assistants.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/xingkongliang/skills-manager

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 xingkongliang/skills-manager
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. mlflow/mlflow · recommended 1×
  4. huggingface/hub · recommended 1×
  5. GitHub · recommended 1×
  • CATEGORY QUERY
    How can I centralize and organize my AI agent skills across various coding environments?
    you: not recommended
    AI recommended (in order):
    1. LangChain Hub (langchain-ai/langchain)
    2. LlamaHub (run-llama/llama_index)
    3. MLflow (mlflow/mlflow)
    4. Hugging Face Hub (huggingface/hub)
    5. GitHub
    6. GitLab
    7. Docker (moby/moby)
    8. Kubernetes (kubernetes/kubernetes)
    9. DVC (iterative/dvc)
    10. Kong (Kong/kong)
    11. Istio (istio/istio)

    AI recommended 11 alternatives but never named xingkongliang/skills-manager. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a desktop application to unify and share AI coding assistant prompts and skills.
    you: not recommended
    AI recommended (in order):
    1. Heimdall (Heimdall-AI/Heimdall)
    2. Obsidian
    3. Logseq (logseq/logseq)
    4. Notion
    5. Joplin (laurent22/joplin)
    6. VS Code (microsoft/vscode)
    7. Simplenote (Automattic/simplenote-electron)
    8. Standard Notes (standardnotes/app)

    AI recommended 8 alternatives but never named xingkongliang/skills-manager. 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 xingkongliang/skills-manager?
    pass
    AI did not name xingkongliang/skills-manager — 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 xingkongliang/skills-manager in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xingkongliang/skills-manager 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 xingkongliang/skills-manager solve, and who is the primary audience?
    pass
    AI named xingkongliang/skills-manager explicitly

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

Embed your GEO score

Drop this badge into the README of xingkongliang/skills-manager. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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xingkongliang/skills-manager — 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