RRepoGEO

REPOGEO REPORT · LITE

BehiSecc/awesome-claude-skills

Default branch main · commit a92a881b · scanned 6/26/2026, 10:47:41 PM

GitHub: 9,636 stars · 1,272 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 BehiSecc/awesome-claude-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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    awesome-list, claude, anthropic-claude, llm-skills, ai-tools, generative-ai, prompts, resources
  • highreadme#2
    Add a concise introductory sentence to the README

    Why:

    COPY-PASTE FIX
    This is a curated list of prompts, techniques, and resources specifically designed to help users maximize the utility and understanding of Anthropic's Claude AI model.
  • highlicense#3
    Create a LICENSE file for the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of an appropriate open-source license, e.g., MIT License.

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 BehiSecc/awesome-claude-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI Plugins · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Weights & Biases · recommended 1×
  • CATEGORY QUERY
    What external tools or plugins are available to extend large language model capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Plugins
    4. Hugging Face Transformers
    5. Weights & Biases
    6. DeepMind's AlphaCode
    7. Pinecone
    8. Weaviate
    9. Milvus

    AI recommended 9 alternatives but never named BehiSecc/awesome-claude-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for development tools and APIs to build applications using advanced AI models.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Vertex AI
    3. Hugging Face Transformers Library & Hub
    4. Anthropic Claude API
    5. Microsoft Azure AI Services
    6. Meta Llama
    7. LangChain
    8. LlamaIndex

    AI recommended 8 alternatives but never named BehiSecc/awesome-claude-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
    fail

    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 BehiSecc/awesome-claude-skills?
    pass
    AI did not name BehiSecc/awesome-claude-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 BehiSecc/awesome-claude-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BehiSecc/awesome-claude-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 BehiSecc/awesome-claude-skills solve, and who is the primary audience?
    pass
    AI did not name BehiSecc/awesome-claude-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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BehiSecc/awesome-claude-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