RRepoGEO

REPOGEO REPORT · LITE

fainir/most-capable-agent-system-prompt

Default branch main · commit ce9b3f5a · scanned 6/25/2026, 7:22:51 PM

GitHub: 620 stars · 93 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 fainir/most-capable-agent-system-prompt, 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 sentence to clarify its relationship with agent frameworks

    Why:

    CURRENT
    Paste this prompt into your coding agent of choice - Claude Code, Codex, Cursor, or any similar tool - and it will build the most capable, self-improving agentic system possible.
    COPY-PASTE FIX
    This system prompt, designed for tools like Claude Code, OpenAI Codex, Cursor, LangChain, or LlamaIndex, enables you to build the most capable, self-improving agentic system possible.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, system-prompt, autonomous-ai, generative-ai, llm-prompt, agentic-workflow, software-engineering, research-automation
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the MIT License text to clearly define usage rights.

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 fainir/most-capable-agent-system-prompt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. GPT-3.5 Turbo · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Claude · recommended 1×
  • CATEGORY QUERY
    How can I build a self-improving AI agent for complex software engineering tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. GPT-3.5 Turbo
    3. LangChain
    4. LlamaIndex
    5. Claude
    6. Llama 2
    7. Hugging Face Transformers
    8. Code Llama
    9. StarCoder
    10. Stable Baselines3
    11. Ray RLlib
    12. GitHub Copilot
    13. GitHub Copilot X
    14. DeepMind AlphaCode
    15. AlphaDev

    AI recommended 15 alternatives but never named fainir/most-capable-agent-system-prompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best system prompts for creating a versatile AI work automation system?
    you: not recommended
    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 fainir/most-capable-agent-system-prompt?
    pass
    AI did not name fainir/most-capable-agent-system-prompt — 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 fainir/most-capable-agent-system-prompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fainir/most-capable-agent-system-prompt 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 fainir/most-capable-agent-system-prompt solve, and who is the primary audience?
    pass
    AI did not name fainir/most-capable-agent-system-prompt — 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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fainir/most-capable-agent-system-prompt — 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