RRepoGEO

REPOGEO REPORT · LITE

haskaomni/serenity-skill

Default branch main · commit 332037ea · scanned 6/17/2026, 3:47:36 AM

GitHub: 532 stars · 82 forks

AI VISIBILITY SCORE
23 /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
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 haskaomni/serenity-skill, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a clear, concise description to the About section

    Why:

    COPY-PASTE FIX
    Codex skills for AI-driven investment research, translating market information into testable alpha hypotheses and comprehensive buy-side equity memos.
  • mediumreadme#2
    Strengthen the README's opening statement for immediate context

    Why:

    CURRENT
    # Serenity Skills

Codex skills for translating market information into testable investment research frameworks.
    COPY-PASTE FIX
    # Serenity Skills: AI-Powered Investment Research Frameworks

Codex skills for translating market information into testable investment research frameworks, designed for financial analysts and quantitative researchers.

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 haskaomni/serenity-skill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bloomberg Terminal
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Bloomberg Terminal · recommended 2×
  2. OpenAI API · recommended 1×
  3. Anthropic Claude API · recommended 1×
  4. Hugging Face Transformers Library · recommended 1×
  5. Google Cloud Natural Language API · recommended 1×
  • CATEGORY QUERY
    How can I automate generating investment alpha hypotheses from market news and financial data?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude API
    3. Hugging Face Transformers Library
    4. Google Cloud Natural Language API
    5. AWS Comprehend
    6. Azure Text Analytics
    7. Quandl
    8. Bloomberg Terminal
    9. Refinitiv Eikon
    10. Pandas
    11. NumPy
    12. Scikit-learn
    13. Alpaca API
    14. QuantConnect
    15. Neo4j
    16. Amazon Neptune

    AI recommended 16 alternatives but never named haskaomni/serenity-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help generate comprehensive buy-side equity research memos with financial analysis and valuation?
    you: not recommended
    AI recommended (in order):
    1. Bloomberg Terminal
    2. S&P Capital IQ
    3. Refinitiv Eikon (with Workspace)
    4. FactSet
    5. Microsoft Excel
    6. AlphaSense / Sentieo
    7. PitchBook

    AI recommended 7 alternatives but never named haskaomni/serenity-skill. This is the gap to close.

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

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

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haskaomni/serenity-skill — 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