Launching today
Stop repeating your brilliance. Winus Skills allows you to transform your financial expertise into a professional, reusable, and highly personalized AI toolkit. It is built on an extensive foundation spans 90% of the world’s free-float market cap and a Global Enterprise Library of 350 million entities across 107 countries. Winus ensures every insight you generate is presentable, verifiable, and traceable across the entire financial landscape.
Hi Everyone! 👋
I’m Jared from the Winus AI product team. We’ve spent the last few months watching our users navigate the "high-stakes" world of finance, and we noticed a common problem: even the best pros are often slowed down by manual, repetitive tasks.
Today, we’re launching Winus Skills to fix that.
Our goal was to move past the "black box" of general AI. Instead of a generic assistant that might hallucinate, we’ve built an extensive foundation spans 90% of the world’s free-float market cap and a Global Enterprise Library of 350 million entities across 107 countries. The market intelligence and financial tools where you can package your own know-how into professional, reusable, and personal AI skills.
Why Winus is different:
Generic AI summarizes; Winus executes. We’ve built a massive foundation of market intelligence and specialized financial tools using the MCP framework. You aren't just prompting an LLM; you are commanding a fleet of specialized engines.
The "Superpower" we’re handing you:
Imagine being an entire team of financial professionals at once. You create the logic, and Winus scales it.
How it works in your workday:
💬 Chat to Create: Describe a task, and Winus builds the skill for you.
📚 Library Access: Import and personalize official templates to hit the ground running.
🤖 Smart Detection: Winus notices your repetitive tasks and suggests a skill to automate them.
We’re dying to know:
1. If you could clone your professional self to handle one specific financial task, what would it be?
2. How much time do you currently spend "double-checking" AI sources? (We’re big on our traceable logic feature for this exact reason!)
Get started here: https://www.winus.ai/en/skills
We’ll be here all day to answer questions and hear your "wishlist" ideas! 🚀
What a brilliant approach to financial AI! 👏 Building specialized skills instead of relying on generic prompts solves so many headaches. I'm really curious about how this integrates into existing planning and review chains. Do the skills trigger automatically based on the workflow state, or are they strictly user-initiated? 🤖 Great launch! 🚀
@phantom__d Winus offers the best of both worlds: you can manually trigger specialized Skills for precise, ad-hoc tasks, or deploy autonomous AI Agents that continuously monitor your data sources to deliver reports and alerts automatically in real-time.
Hello Jared, thank you for sharing the concept and vision behind Winus Skills. I’m curious about how Winus ensures data source transparency and traceability when executing skills in financial analysis or research workflows. Additionally, if users create AI skills with complex logic, does the system provide version management or backtesting mechanisms to validate their effectiveness? I believe these features would be very important for financial professionals in real decision-making scenarios. 🚀
@shih_min Transparency is built-in with clickable citations for every figure, and we offer dedicated backtesting and simulation tools to help you validate complex logic and risk metrics before making high-stakes decisions.
Hey team, congrats on launching Winus Skills!
As a tech developer who sometimes has to deal with financial data pipelines and market APIs for our apps, I really appreciate what you built here. Turning domain-specific financial knowledge into reusable, executable "skills" with traceable logic and MCP under the hood is clever — it feels like moving from fragile GPT wrappers to proper, maintainable tooling. Covering 90% of global free-float market cap + 350M entities is no small thing either.
Quick question from the dev side: How easy is it to debug or extend a custom skill when the output doesn't match expectations? Can we see the intermediate steps / tool calls, or add our own logic hooks?
Upvoted — looks like a solid step toward making finance pros more productive without losing control. Great work! 👏
@64185008aaa Thanks for the support—we definitely built this to be a maintainable workflow layer rather than a fragile wrapper. For debugging, every result includes an "audit trail by default" with clickable citations, and calculation breakdowns so you can see exactly how the logic was executed. You can easily extend skills via conversation or by adapting our official library, with more advanced skill building coming soon.
I have tried the same financial skills on Claude vs Winus. Winus gave me different and seems more insightful / rich / data-backed results. Is it becuase of the MCPs and Agents behind Winus platform? Keen to learn more and how to build my own financial skills leveraging those tools! 👋👋
@caseyge Glad the difference is clear. Most AI is built for general tasks, so it starts guessing once things get technical. Winus is built specifically for finance to keep the data accurate and useful.
This looks so high-end! Anyone know more about this? If I, as an analyst, want to use it to build a personal toolkit, can the data really cover that comprehensively? Is it crazy expensive? Just waiting for reviews from someone who's tried it 😳
@li_valya It’s actually very accessible! You can start building for free. The data coverage is institutional-grade, do try out skills to automate the nasty part of work.
Love the idea of turning financial workflows into AI “skills”.
In finance, a lot of daily work is still repetitive — pulling data, summarizing filings, building quick models. If Winus can package those processes into reusable skills, it could save analysts a lot of time and let them focus more on actual thinking.
Feels like this could become a real workflow layer for financial analysis, not just another AI chat tool.
Congrats on the launch! 🚀📊
@freya_wang3 Exactly—Winus is built to be a workflow layer that packages repetitive tasks like summarizing filings into reusable AI Skills, letting you delegate the technical "busy work" to the system so you can focus on critical judgment.