REPOGEO REPORT · LITE

RKiding/Awesome-finance-skills

Default branch main · commit 853f09b4 · scanned 6/24/2026, 11:12:36 PM

GitHub: 2,595 stars · 344 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)

3 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 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

Reposition README to explicitly counter 'resource list' interpretation

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 for AI Agents

> **This is NOT a resource list.** Transform your AI agent into a Wall Street analyst in seconds with this plug-and-play skill collection that empowers LLMs with **real-time news**, **stock data**, **sentiment analysis**, **logic visualization**, and **market prediction** capabilities.

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

mediumtopics#3

Refine topics to be more specific about LLM agent capabilities

Why:

CURRENT

agent, agent-skills, finances, fintech

COPY-PASTE FIX

agent, agent-skills, llm-agents, financial-analysis, market-prediction, real-time-data, fintech

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

GDELT Project

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

GDELT Project · recommended 2×
Hugging Face Transformers · recommended 2×
Quandl (now Nasdaq Data Link) · recommended 1×
Alpha Vantage · recommended 1×
NewsAPI.org · recommended 1×

CATEGORY QUERY
How can I enhance my AI agent with real-time financial news and market prediction?
you: not recommended
AI recommended (in order):
1. Quandl (now Nasdaq Data Link)
2. Alpha Vantage
3. NewsAPI.org
4. GDELT Project
5. Hugging Face Transformers
6. NLTK (Natural Language Toolkit)
7. spaCy
8. scikit-learn
9. TensorFlow
10. PyTorch
AI recommended 10 alternatives but never named RKiding/Awesome-finance-skills. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking tools to integrate stock data, sentiment analysis, and market trends into LLM agents.
you: not recommended
AI recommended (in order):
1. Alpaca Markets API
2. Finnhub API
3. News API
4. GDELT Project
5. Twitter API (v2)
6. VADER (Valence Aware Dictionary and sEntiment Reasoner)
7. Hugging Face Transformers
8. Beautiful Soup
9. Scrapy
AI recommended 9 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 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?
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