RRepoGEO

REPOGEO REPORT · LITE

Njengah/claude-code-cheat-sheet

Default branch main · commit 94fbfc00 · scanned 5/20/2026, 4:57:06 PM

GitHub: 1,707 stars · 240 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
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 Njengah/claude-code-cheat-sheet, 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
    Clarify README's opening to emphasize it's a guide for Claude Code, not the tool itself

    Why:

    CURRENT
    Your complete guide to mastering Claude Code - from zero to hero in minutes! After testing Claude Code extensively, I've developed this comprehensive cheat sheet that will take you from basic to advanced user without wasting time. Whether you're completely new to Claude Code or looking to master advanced features, this guide has you covered.
    COPY-PASTE FIX
    Your complete guide to mastering Claude Code - from zero to hero in minutes! This repository provides a comprehensive cheat sheet with tips, tricks, and workflows for effectively using Anthropic's Claude Code AI assistant. Whether you're completely new to Claude Code or looking to master advanced features, this guide has you covered.
  • mediumreadme#2
    Add a 'What this is NOT' section to the README

    Why:

    COPY-PASTE FIX
    ## What this is NOT

This repository is a comprehensive guide and cheat sheet for using Anthropic's Claude Code AI assistant. It is **not** a coding assistant like GitHub Copilot, Cursor, or JetBrains AI Assistant, nor is it a software library or framework to be installed and run. Instead, it provides prompt engineering advice and examples to help you master Claude Code effectively.
  • lowtopics#3
    Add topics that describe the resource type (guide, cheat sheet, tips)

    Why:

    CURRENT
    claude, claude-3, claude-3-opus, claude-ai, claude-api, claude-code, claude-desktop, claudecode, claudecode-mcp
    COPY-PASTE FIX
    claude, claude-3, claude-3-opus, claude-ai, claude-api, claude-code, claude-desktop, claudecode, claudecode-mcp, prompt-engineering-guide, ai-assistant-tips, productivity-hacks, developer-guide, cheat-sheet

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 Njengah/claude-code-cheat-sheet
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. Cursor · recommended 1×
  3. JetBrains AI Assistant · recommended 1×
  4. ChatGPT · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    Seeking tips and tricks to improve productivity with AI coding assistants.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. JetBrains AI Assistant
    4. ChatGPT
    5. Google Gemini
    6. Claude

    AI recommended 6 alternatives but never named Njengah/claude-code-cheat-sheet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive guide for mastering intelligent code generation tools?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI Generative AI with Large Language Models Specialization
    2. Andrew Ng's Machine Learning Specialization
    3. OpenAI Prompt Engineering Guide
    4. Prompt Engineering for Developers (DeepLearning.AI & OpenAI)
    5. GitHub Copilot
    6. ChatGPT (GPT-4)
    7. Google Gemini (Advanced/Ultra)
    8. Amazon CodeWhisperer
    9. Tabnine
    10. LangChain (langchain-ai/langchain)
    11. LlamaIndex (run-llama/llama_index)
    12. Hugging Face Transformers Library (huggingface/transformers)

    AI recommended 12 alternatives but never named Njengah/claude-code-cheat-sheet. 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 Njengah/claude-code-cheat-sheet?
    pass
    AI did not name Njengah/claude-code-cheat-sheet — 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 Njengah/claude-code-cheat-sheet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Njengah/claude-code-cheat-sheet 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 Njengah/claude-code-cheat-sheet solve, and who is the primary audience?
    pass
    AI did not name Njengah/claude-code-cheat-sheet — 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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Njengah/claude-code-cheat-sheet — 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