RRepoGEO

REPOGEO REPORT · LITE

dontriskit/awesome-ai-system-prompts

Default branch main · commit 74964625 · scanned 5/20/2026, 1:27:51 PM

GitHub: 5,901 stars · 883 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
22 /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
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 dontriskit/awesome-ai-system-prompts, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-system-prompts, prompt-engineering, awesome-list, ai-agents, large-language-models, llm-prompts, system-prompts
  • highreadme#2
    Reposition README H1 to emphasize "curated collection"

    Why:

    CURRENT
    # Crafting Effective Prompts for Agentic AI Systems: Patterns and Practices
    COPY-PASTE FIX
    # Awesome AI System Prompts: A Curated Collection for Agent Builders & Prompt Engineers
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert relevant URL here, e.g., a project page, documentation, or a blog post about the repo]

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 dontriskit/awesome-ai-system-prompts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Cookbook
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Cookbook · recommended 1×
  2. Anthropic's Prompt Engineering Guide · recommended 1×
  3. Learn Prompting · recommended 1×
  4. Awesome Prompt Engineering · recommended 1×
  5. Hugging Face Hub · recommended 1×
  • CATEGORY QUERY
    Where can I find examples of high-quality system prompts for various AI models and tools?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Cookbook
    2. Anthropic's Prompt Engineering Guide
    3. Learn Prompting
    4. Awesome Prompt Engineering
    5. Hugging Face Hub
    6. Google's Gemini API Docs
    7. Twitter/X
    8. LinkedIn

    AI recommended 8 alternatives but never named dontriskit/awesome-ai-system-prompts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are best practices and patterns for crafting effective system prompts for AI agent development?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-4 / GPT-3.5
    2. Anthropic's Claude 3
    3. Google's Gemini
    4. LangChain (langchain-ai/langchain)
    5. LlamaIndex (run-llama/llama_index)
    6. Instructor (jxnl/instructor)
    7. Guardrails AI (guardrails-ai/guardrails)

    AI recommended 7 alternatives but never named dontriskit/awesome-ai-system-prompts. 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 dontriskit/awesome-ai-system-prompts?
    pass
    AI did not name dontriskit/awesome-ai-system-prompts — 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 dontriskit/awesome-ai-system-prompts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dontriskit/awesome-ai-system-prompts 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 dontriskit/awesome-ai-system-prompts solve, and who is the primary audience?
    pass
    AI did not name dontriskit/awesome-ai-system-prompts — 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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dontriskit/awesome-ai-system-prompts — 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