RRepoGEO

REPOGEO REPORT · LITE

GBSOSS/skill-from-masters

Default branch main · commit c4d27d29 · scanned 7/1/2026, 7:13:12 AM

GitHub: 1,502 stars · 152 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
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 GBSOSS/skill-from-masters, 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 README H1 and opening to clarify AI agent focus

    Why:

    CURRENT
    # Skill From Masters
    
    > **Stand on the shoulders of giants** — Create AI skills built on proven methodologies from domain experts.
    COPY-PASTE FIX
    # Skill From Masters: Expert Methodologies for AI Agent Skills
    
    > **Stand on the shoulders of giants** — Create robust AI agent skills by incorporating proven methodologies and best practices from domain experts, before generating any new skill.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, generative-ai, expert-systems, methodologies, best-practices, skill-creation, prompt-engineering
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    [Insert relevant project URL, demo, or documentation link here]

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 GBSOSS/skill-from-masters
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 1×
  2. Amazon Neptune · recommended 1×
  3. RDFox · recommended 1×
  4. Drools · recommended 1×
  5. Pyke · recommended 1×
  • CATEGORY QUERY
    How can I integrate established domain expertise into my AI agent's decision-making process?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. Amazon Neptune
    3. RDFox
    4. Drools
    5. Pyke
    6. CLIPS
    7. Protégé
    8. Apache Jena
    9. OWL API
    10. Pandas
    11. scikit-learn
    12. OpenAI GPT-4
    13. Anthropic Claude
    14. Google Gemini
    15. Stable Baselines3
    16. Ray RLlib
    17. LangChain
    18. LlamaIndex

    AI recommended 18 alternatives but never named GBSOSS/skill-from-masters. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build AI skills using best practices and expert methodologies?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. edX
    3. fast.ai
    4. Google Cloud AI Platform
    5. AWS SageMaker
    6. Azure Machine Learning
    7. Kaggle
    8. Hugging Face Transformers Library (huggingface/transformers)
    9. datasets library (huggingface/datasets)
    10. accelerate library (huggingface/accelerate)
    11. PyTorch Lightning (PyTorchLightning/pytorch-lightning)
    12. Keras (keras-team/keras)

    AI recommended 12 alternatives but never named GBSOSS/skill-from-masters. 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 GBSOSS/skill-from-masters?
    pass
    AI did not name GBSOSS/skill-from-masters — 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 GBSOSS/skill-from-masters in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GBSOSS/skill-from-masters 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 GBSOSS/skill-from-masters solve, and who is the primary audience?
    pass
    AI named GBSOSS/skill-from-masters 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 GBSOSS/skill-from-masters. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/GBSOSS/skill-from-masters.svg)](https://repogeo.com/en/r/GBSOSS/skill-from-masters)
HTML
<a href="https://repogeo.com/en/r/GBSOSS/skill-from-masters"><img src="https://repogeo.com/badge/GBSOSS/skill-from-masters.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

GBSOSS/skill-from-masters — 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