RRepoGEO

REPOGEO REPORT · LITE

nidhinjs/prompt-master

Default branch main · commit 7a02ddd3 · scanned 5/9/2026, 6:32:42 AM

GitHub: 7,291 stars · 795 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 nidhinjs/prompt-master, 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 statement to emphasize prompt generation and token efficiency

    Why:

    CURRENT
    A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention. No re-prompting your way to an answer you should have gotten on attempt one.
    COPY-PASTE FIX
    Prompt Master is a Claude skill designed to **generate accurate, token-efficient prompts** for any AI tool, eliminating wasted credits and re-prompting.
  • mediumabout#2
    Enhance the repository description to highlight prompt generation and token efficiency

    Why:

    CURRENT
    A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
    COPY-PASTE FIX
    A Claude skill that **generates highly accurate and token-efficient prompts** for any AI tool, ensuring full context retention and zero wasted credits.
  • lowhomepage#3
    Add a homepage link to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a link to a relevant project page, demo, or documentation.

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 nidhinjs/prompt-master
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Vellum · recommended 2×
  3. Humanloop · recommended 2×
  4. DSPy · recommended 1×
  5. Awesome-Prompt-Engineering · recommended 1×
  • CATEGORY QUERY
    How can I generate more effective AI prompts to avoid wasting LLM credits?
    you: not recommended
    AI recommended (in order):
    1. DSPy
    2. LangChain
    3. Vellum
    4. Humanloop
    5. Awesome-Prompt-Engineering
    6. PromptPerfect
    7. LiteLLM
    8. Helicone

    AI recommended 8 alternatives but never named nidhinjs/prompt-master. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help optimize prompt engineering for various large language models and image generators?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Weights & Biases (W&B) Prompts
    3. OpenAI Playground
    4. AI Studio (Google Cloud)
    5. PromptLayer
    6. Humanloop
    7. Vellum
    8. litellm
    9. instructor

    AI recommended 9 alternatives but never named nidhinjs/prompt-master. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 nidhinjs/prompt-master?
    pass
    AI did not name nidhinjs/prompt-master — 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 nidhinjs/prompt-master in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nidhinjs/prompt-master 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 nidhinjs/prompt-master solve, and who is the primary audience?
    pass
    AI named nidhinjs/prompt-master explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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