RRepoGEO

REPOGEO REPORT · LITE

alirezarezvani/claude-code-skill-factory

Default branch dev · commit ba18b317 · scanned 6/14/2026, 12:31:48 PM

GitHub: 802 stars · 160 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 alirezarezvani/claude-code-skill-factory, 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
    Strengthen README's opening statement for Claude-specific positioning

    Why:

    COPY-PASTE FIX
    Add the following paragraph immediately after the H1: "This is a powerful open-source toolkit for building and deploying production-ready Claude Skills, Code Agents, custom Slash Commands, and LLM Prompts at scale. It enables developers to easily generate structured skill templates, automate workflow integration, and accelerate AI agent development with a clean, developer-friendly setup, specifically tailored for Anthropic Claude models."
  • mediumtopics#2
    Expand repository topics for better keyword matching

    Why:

    CURRENT
    ai-agents, ai-tools, claude-ai, claude-code, claude-skills, claude-skills-creator
    COPY-PASTE FIX
    ai-agents, ai-tools, claude-ai, claude-code, claude-skills, claude-skills-creator, llm-prompts, prompt-engineering, ai-workflow, agent-framework, anthropic-claude, code-generation, ai-development-kit
  • lowreadme#3
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, after the 'Built-in Commands' section: "## ✨ Key Differentiators

Unlike general LLM frameworks, Claude Code Skill Factory provides a structured, systematic, and iterative framework specifically designed to enhance and evaluate the code generation and understanding skills of Anthropic Claude models. We focus on advanced prompt engineering, practical application, and feedback loops to ensure production-ready AI tools."

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 alirezarezvani/claude-code-skill-factory
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. tiangolo/fastapi · recommended 1×
  3. pallets/flask · recommended 1×
  4. Pinecone · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How can I quickly develop and deploy custom AI agent skills for production?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. FastAPI (tiangolo/fastapi)
    3. Flask (pallets/flask)
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. ChromaDB (chroma-core/chroma)
    7. AWS Lambda
    8. Google Cloud Run
    9. Azure Container Apps
    10. Kubernetes (kubernetes/kubernetes)
    11. LlamaIndex (run-llama/llama_index)
    12. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    13. OpenAI Assistants API
    14. Hugging Face Transformers Agents (huggingface/transformers)
    15. OpenAI API (openai/openai-python)
    16. Anthropic API
    17. Google Gemini API

    AI recommended 17 alternatives but never named alirezarezvani/claude-code-skill-factory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What toolkit helps generate structured prompts and integrate AI agent workflows efficiently?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Magentic
    4. Instructor
    5. Haystack
    6. OpenAI's Function Calling

    AI recommended 6 alternatives but never named alirezarezvani/claude-code-skill-factory. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 alirezarezvani/claude-code-skill-factory?
    pass
    AI did not name alirezarezvani/claude-code-skill-factory — 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 alirezarezvani/claude-code-skill-factory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alirezarezvani/claude-code-skill-factory 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 alirezarezvani/claude-code-skill-factory solve, and who is the primary audience?
    pass
    AI named alirezarezvani/claude-code-skill-factory explicitly

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

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alirezarezvani/claude-code-skill-factory — 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