REPOGEO REPORT · LITE

RKiding/Awesome-finance-skills

Default branch main · commit 853f09b4 · scanned 5/14/2026, 10:53:07 AM

GitHub: 2,144 stars · 301 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 RKiding/Awesome-finance-skills, 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

Clarify README's opening to emphasize 'installable skills' over 'resource list'

Why:

CURRENT

# 🧠 Awesome Finance Skills

> **Transform your AI agent into a Wall Street analyst in seconds.**
>
> A plug-and-play skill collection that empowers LLMs with **real-time news**, **stock data**, **sentiment analysis**, **logic visualization**, and **market prediction** capabilities.

COPY-PASTE FIX

# 🧠 Awesome Finance Skills

> **This is a collection of installable, plug-and-play skills designed to transform your AI agent into a Wall Street analyst in seconds.**
>
> It directly empowers LLMs with **real-time news**, **stock data**, **sentiment analysis**, **logic visualization**, and **market prediction** capabilities, not just a list of resources.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://deepear.vercel.app/
```

lowtopics#3

Add more specific topics related to LLMs and AI agents

Why:

CURRENT

agent, agent-skills, finances, fintech

COPY-PASTE FIX

agent, agent-skills, finances, fintech, llm, large-language-models, ai-agents

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 RKiding/Awesome-finance-skills

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Alpaca Markets API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Alpaca Markets API · recommended 1×
Twelve Data API · recommended 1×
Finnhub API · recommended 1×
NewsAPI.org · recommended 1×
Alpha Vantage API · recommended 1×

CATEGORY QUERY
How can I integrate real-time financial data and news analysis into my AI agent?
you: not recommended
AI recommended (in order):
1. Alpaca Markets API
2. Twelve Data API
3. Finnhub API
4. NewsAPI.org
5. Alpha Vantage API
6. Bloomberg Terminal/API
7. Refinitiv Eikon/Workspace
AI recommended 7 alternatives but never named RKiding/Awesome-finance-skills. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking tools to enhance large language models with market prediction and sentiment analysis features.
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers (huggingface/transformers)
2. Flair (flairNLP/flair)
3. NLTK (nltk/nltk)
4. spaCy (explosion/spaCy)
5. QuantConnect (QuantConnect/Lean)
6. Alpha Vantage
7. OpenAI API
AI recommended 7 alternatives but never named RKiding/Awesome-finance-skills. 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 RKiding/Awesome-finance-skills?
pass
AI named RKiding/Awesome-finance-skills explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts RKiding/Awesome-finance-skills in production, what risks or prerequisites should they evaluate first?
pass
AI named RKiding/Awesome-finance-skills 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 RKiding/Awesome-finance-skills solve, and who is the primary audience?
pass
AI did not name RKiding/Awesome-finance-skills — 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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MARKDOWN (README)

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RKiding/Awesome-finance-skills — 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