RRepoGEO

REPOGEO REPORT · LITE

TheDecipherist/claude-code-mastery

Default branch main · commit 0f05fa1a · scanned 6/2/2026, 1:12:50 AM

GitHub: 520 stars · 45 forks

AI VISIBILITY SCORE
27 /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
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 TheDecipherist/claude-code-mastery, 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 the README's opening to clarify the repository's core identity

    Why:

    CURRENT
    The current README starts with specific components (MDD, Starter Kit) and an 'Obsolete' warning, obscuring the repo's core identity as a 'complete guide' or 'methodology'.
    COPY-PASTE FIX
    Add a new opening sentence to the README, before any specific sections, that clearly states: "This repository is the definitive guide and production-ready starter kit for mastering Claude Code, offering structured methodologies like Manual-Driven Development (MDD) and advanced techniques for AI-driven development."
  • mediumtopics#2
    Add more specific topics to reflect methodology and template aspects

    Why:

    CURRENT
    ai-agents, anthropic, claude, claude-code, claude-md, coding-assistant, developer-tools, llm, mcp-servers
    COPY-PASTE FIX
    ai-agents, anthropic, claude, claude-code, claude-md, coding-assistant, developer-tools, llm, mcp-servers, ai-workflow, llm-ops, prompt-engineering-guide, ai-agent-template
  • lowreadme#3
    Clarify the primary offering by updating the 'V2 Obsolete' heading

    Why:

    CURRENT
    # Claude Code Mastery V2 (Obsolete)
    COPY-PASTE FIX
    Change the H1 `# Claude Code Mastery V2 (Obsolete)` to `# Claude Code Mastery: The Starter Kit & MDD` and add a small note below it: `(Note: V2 is now obsolete; please use the Starter Kit.)`

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 TheDecipherist/claude-code-mastery
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. GitLab Duo Code Suggestions · recommended 1×
  3. OpenAI API · recommended 1×
  4. GPT-4 · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How can I integrate large language models into a structured, documentation-driven development workflow?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitLab Duo Code Suggestions
    3. OpenAI API
    4. GPT-4
    5. GPT-3.5 Turbo
    6. Anthropic Claude API
    7. Sphinx
    8. MkDocs
    9. Confluence
    10. DocuGen
    11. Tabnine
    12. Codeium

    AI recommended 12 alternatives but never named TheDecipherist/claude-code-mastery. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a production-ready project template for building custom AI agents with advanced capabilities.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    4. Hugging Face Transformers (huggingface/transformers)
    5. OpenAI Assistants API
    6. Haystack (deepset-ai/haystack)

    AI recommended 6 alternatives but never named TheDecipherist/claude-code-mastery. 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 TheDecipherist/claude-code-mastery?
    pass
    AI did not name TheDecipherist/claude-code-mastery — 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 TheDecipherist/claude-code-mastery in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TheDecipherist/claude-code-mastery 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 TheDecipherist/claude-code-mastery solve, and who is the primary audience?
    pass
    AI did not name TheDecipherist/claude-code-mastery — 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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TheDecipherist/claude-code-mastery — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite