RRepoGEO

REPOGEO REPORT · LITE

mliu98/awesome-human-distillation

Default branch main · commit 18841d58 · scanned 5/31/2026, 12:33:05 AM

GitHub: 595 stars · 55 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 mliu98/awesome-human-distillation, 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
    Explicitly state repo type in README's opening

    Why:

    COPY-PASTE FIX
    Add the following line directly after the `# Awesome Human Distillation` title:
`This is a curated awesome list of projects and AI agent skills focused on human distillation.`
  • highlicense#2
    Add a standard open-source LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory of the repository containing the text of a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a relevant URL to the repository's homepage field in GitHub settings, such as a project website, a related blog post, or the GitHub repository URL itself if no external site 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 mliu98/awesome-human-distillation
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 3×
  2. Otter.ai · recommended 1×
  3. Happy Scribe · recommended 1×
  4. Confluence · recommended 1×
  5. Notion · recommended 1×
  • CATEGORY QUERY
    How to convert a person's knowledge and communication style into an AI agent skill?
    you: not recommended
    AI recommended (in order):
    1. Otter.ai
    2. Happy Scribe
    3. Confluence
    4. Notion
    5. Obsidian
    6. Apache Tika (apache/tika)
    7. OpenAI Embeddings API
    8. Hugging Face Transformers (huggingface/transformers)
    9. Pinecone
    10. Weaviate (weaviate/weaviate)
    11. Natural Language Toolkit (NLTK) (nltk/nltk)
    12. spaCy (explosion/spaCy)
    13. IBM Watson Tone Analyzer
    14. scikit-learn (scikit-learn/scikit-learn)
    15. TensorFlow (tensorflow/tensorflow)
    16. PyTorch (pytorch/pytorch)
    17. OpenAI GPT-4
    18. GPT-3.5 Turbo
    19. Anthropic Claude 3
    20. Google Gemini
    21. Mistral AI
    22. Mixtral 8x7B
    23. LangChain (langchain-ai/langchain)
    24. LlamaIndex (run-llama/llama_index)
    25. OpenAI Fine-tuning API
    26. Hugging Face Transformers (huggingface/transformers)
    27. Llama 2
    28. Mistral
    29. transformers (huggingface/transformers)
    30. peft (huggingface/peft)
    31. Rasa (RasaHQ/rasa)
    32. Botpress (botpress/botpress)

    AI recommended 32 alternatives but never named mliu98/awesome-human-distillation. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for creating AI agent skills based on real people's past conversations and writings?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers
    3. LangChain
    4. LlamaIndex
    5. Rasa
    6. DeepPavlov
    7. Google Cloud AI Platform / Vertex AI

    AI recommended 7 alternatives but never named mliu98/awesome-human-distillation. 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 mliu98/awesome-human-distillation?
    pass
    AI did not name mliu98/awesome-human-distillation — 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 mliu98/awesome-human-distillation in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mliu98/awesome-human-distillation 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 mliu98/awesome-human-distillation solve, and who is the primary audience?
    pass
    AI did not name mliu98/awesome-human-distillation — 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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mliu98/awesome-human-distillation — 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