RRepoGEO

REPOGEO REPORT · LITE

KhazP/vibe-coding-prompt-template

Default branch main · commit e063721c · scanned 5/13/2026, 4:32:01 PM

GitHub: 2,374 stars · 299 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 KhazP/vibe-coding-prompt-template, 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 README H3 and opening paragraph to clarify "workflow/template" vs. "tool"

    Why:

    CURRENT
    <h3 align="center">A practical AI workflow for shipping MVPs</h3>
    
    <p align="center">
      <strong>Turn an idea into an MVP with structured prompts, agent docs, and AI-assisted coding workflows.</strong>
    </p>
    COPY-PASTE FIX
    <h3 align="center">A structured workflow and prompt template for shipping MVPs with AI</h3>
    
    <p align="center">
      <strong>This repository provides a practical, step-by-step workflow and reusable prompt templates to guide AI assistants (like Claude, ChatGPT, or Copilot) in turning your ideas into shippable MVPs, focusing on structured PRD and technical design generation.</strong>
    </p>
  • mediumtopics#2
    Add more specific topics to emphasize "template" and "workflow"

    Why:

    CURRENT
    ai-agents, ai-workflow, beginner-friendly, claude-code, claude-code-skills, claude-skills, dev-tools, development-workflows, llm-tools, llm-workflow, low-code, mvp-development, no-code, product-requirement-document, prompt-enginering, technical-design, vibe-coding, workflow-automation
    COPY-PASTE FIX
    ai-agents, ai-workflow, beginner-friendly, claude-code, claude-code-skills, claude-skills, dev-tools, development-workflows, llm-tools, llm-workflow, low-code, mvp-development, no-code, product-requirement-document, prompt-enginering, prompt-template, technical-design, vibe-coding, workflow-automation, ai-prompt-engineering, llm-prompt-template
  • lowreadme#3
    Correct empty license link in README

    Why:

    CURRENT
    <a href="LICENSE"></a>
    COPY-PASTE FIX
    <a href="LICENSE">MIT License</a>

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 KhazP/vibe-coding-prompt-template
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. ChatGPT Plus · recommended 1×
  3. OpenAI API · recommended 1×
  4. Cursor · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    How can I accelerate MVP development using AI-assisted coding workflows and structured prompts?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT Plus
    3. OpenAI API
    4. Cursor
    5. Google Gemini
    6. Replit AI
    7. Tabnine
    8. AWS CodeWhisperer

    AI recommended 8 alternatives but never named KhazP/vibe-coding-prompt-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate generating product requirement documents and technical designs with LLMs?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise / GitHub Copilot Chat
    2. Azure OpenAI Service / OpenAI API
    3. Confluence
    4. ClickUp / Jira
    5. Notion AI
    6. Miro

    AI recommended 6 alternatives but never named KhazP/vibe-coding-prompt-template. 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 KhazP/vibe-coding-prompt-template?
    pass
    AI named KhazP/vibe-coding-prompt-template explicitly

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

  • If a team adopts KhazP/vibe-coding-prompt-template in production, what risks or prerequisites should they evaluate first?
    pass
    AI named KhazP/vibe-coding-prompt-template 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 KhazP/vibe-coding-prompt-template solve, and who is the primary audience?
    pass
    AI did not name KhazP/vibe-coding-prompt-template — 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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KhazP/vibe-coding-prompt-template — 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