RRepoGEO

REPOGEO REPORT · LITE

KhazP/vibe-coding-prompt-template

Default branch main · commit e063721c · scanned 6/24/2026, 3:32:23 AM

GitHub: 2,559 stars · 315 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
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's opening sentence to clarify it's a prompt template collection and workflow

    Why:

    CURRENT
    Turn an idea into an MVP with structured prompts, agent docs, and AI-assisted coding workflows.
    COPY-PASTE FIX
    This repository provides a collection of structured prompt templates and a practical workflow for using LLMs to generate Product Requirement Documents (PRDs), Technical Designs, and accelerate MVP development.
  • mediumtopics#2
    Add specific topics to emphasize 'prompt templates' and 'AI development 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, technical-design, vibe-coding, workflow-automation, prompt-templates, llm-prompts, ai-development-workflow
  • lowabout#3
    Refine the 'About' description for clarity on 'templates and workflow'

    Why:

    CURRENT
    Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs
    COPY-PASTE FIX
    A comprehensive collection of prompt templates and a structured workflow for leveraging LLMs to generate Product Requirement Documents (PRDs), Technical Designs, and accelerate MVP development within AI IDEs.

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
ChatGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 2×
  2. GitHub Copilot · recommended 2×
  3. Midjourney · recommended 2×
  4. DALL-E 3 · recommended 2×
  5. Claude · recommended 1×
  • CATEGORY QUERY
    How to use AI to generate product requirement documents and technical designs quickly?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Claude
    3. Google Gemini
    4. GitHub Copilot
    5. GitLab Duo
    6. Microsoft Copilot
    7. Midjourney
    8. DALL-E 3
    9. OpenAI API
    10. Azure OpenAI Service
    11. Hugging Face

    AI recommended 11 alternatives but never named KhazP/vibe-coding-prompt-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good AI-powered workflows for accelerating MVP development and project shipping?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitHub Copilot X
    3. ChatGPT
    4. GPT-4
    5. Midjourney
    6. DALL-E 3
    7. Vercel AI SDK (vercel/ai)
    8. LangChain (langchain-ai/langchain)
    9. Replit AI
    10. Tabnine
    11. Postman

    AI recommended 11 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