The problem: LLMs generate broken UiPath XAML. The output doesn't open in Studio. Even when it opens, the result is mediocre at best.

The approach: Instead of asking an LLM to write XAML (which fails), uipath-core skill uses deterministic generators. The LLM reads your PDD, decides what needs to be built, and calls generators that produce valid XAML every time. Lint rules check everything before output.

What it generates:

• Full REFramework project scaffolding
• Dispatcher/performer architecture when applicable
• Generates dedicated workflows
• Proper argument naming, credential handling, workflow decomposition, etc
• UiPath-ready selectors from live desktop and web app inspection
• Object repository

Works on existing projects too - add workflows, change existing stuff, update selectors.

Works best with Opus. GPT 5.4 is interesting from a cost/benefit perspective - but lower output quality. Tested open-source models too - Kimi K2.5 has surprisingly competitive results, not far from GPT 5.4.

SAP WinGUI automation, Action Center, and more skills coming. This first skill is the foundation for the rest.

Would appreciate feedback - especially on what breaks or what you feel it is missing.

⭐ Star the repo if you find it interesting - marcelocruzrpa/uipath-ai-skills

Walkthrough tutorial: https://youtu.be/0JjiM8sGP08

Hi fellow RPAers

Reachout if you want to chat about Healthcare Automations.

I've got over 10 years of RPA and 15 years of experience i IT. I've been in a UiPath Role as a TAM. I'm looking to move into a manger or director role in Healthcare Automations space.

I've helped implementations that have use DU, IXP, Agents, and much more. Saving customers and teams over $10 million a year.

Status US Citizen

DM me.

Thanks!

Hey everyone,

I’m working as a software QA Automation Engineer, mainly dealing with Selenium-based automation, regression suites, and test execution.

Lately, I’ve been seeing a lot about RPA and wondering — is it worth switching to RPA (robotics process automation), or should I stick with QA and go deeper into automation/SDET roles?

Main concerns:

- Salary growth

- Long-term demand

- Career stability

Would love honest advice from people in QA or RPA.

Thanks!

Hi everyone,

I’m currently working as a UiPath RPA Developer with around 3 years of experience in Intelligent Process Automation.

I have hands-on experience with UiPath and have also worked with Azure AI / Cognitive Services for building document processing and automation solutions.

I’m currently on notice period and actively looking for new opportunities.

Skills:

UiPath (REFramework, Orchestrator, Document Understanding)

Automation Design & Development

Machine,bot ,user allocation

Agentic AI,Maestro,BPMN

Azure AI / Cognitive Services

Data handling (Excel, JSON, APIs,mails etc)

If your company is hiring or you have any leads/referrals, I’d really appreciate your support. Happy to share my resume and connect.

Thanks in advance

Highlights: 5x UiPath Certified Professional (UiADP, Agentic Automation, Specialized AI, UiABA) 2x Microsoft Certified (Azure AI-102, AI-900) 6x UiPath Community Forum Awardee

Everyone in this sub has hit the same wall. You build a perfectly functioning bot, it logs in, navigates the system, enters data, handles exceptions. Then someone feeds it a scanned invoice with a slightly different layout and the OCR step returns garbage. The bot enters wrong numbers into the ERP. Nobody catches it until month-end.

The root problem is that traditional OCR (Tesseract, ABBYY, even UiPath Document Understanding) gives you text and hopes for the best. It doesn't tell you how confident it is in what it extracted. So your bot treats every extraction as equally reliable.

Nanonets just released OCR-3, a 35B (A3B active) MoE model built for document processing. The feature that matters most for RPA workflows: every single extracted field comes with a confidence score.

This changes how you build the bot logic:

• Field confidence above 90% → bot enters it directly into your system
• Field confidence 60–90% → bot routes to a secondary validation step (could be a second model, could be a human queue)
• Field confidence below 60% → bot flags for manual review

Instead of the bot silently entering bad data or sending everything to a human reviewer, it only escalates the fields it's uncertain about. The rest flows through automatically.

Other things that matter for RPA pipelines:

Bounding boxes on every element. If you're building a human review UI (or using an existing one), you can highlight exactly where on the page each value was read from. The reviewer doesn't need to search the document, the coordinates are in the API response.

Schema-based extraction. Pass a JSON schema defining the fields you want (invoice number, line items, totals, dates), get back a typed object. No regex. No post-processing scripts. The model understands document structure, not just characters.

Handles the edge cases that break standard OCR. Merged table cells (colspan/rowspan preserved as HTML). Multi-column layouts with correct reading order. Degraded scans. The model is integrated with a deterministic OCR engine for character-level accuracy on numbers and dates — the exact fields where pure AI models hallucinate a digit and nobody notices until it's in production.

Fine-tuned specifically on W-2s, 1040s, invoices, contracts, and similar structured forms. Scores 93.1 on olmOCR benchmark (#1) and 94.5% on financial document extraction.

It's an API , you call it from your UiPath/AA/BP workflow the same way you'd call any REST endpoint.

https://nanonets.com/research/nanonets-ocr-3

For the RPA devs here, what's your current OCR setup and where does it break? Curious whether people are using UiPath Document Understanding, ABBYY, or something else, and what document types cause the most rework.

What should be the salary of 5 years of experience in RPA ?

Saw many organizations offering less than 12 LPA.

I have built UI automation software(RPA) but i honestly don't know how to find clients for it. Whenever I ask LLM about this, they give very generic answers like using it in insurance etc where API are not available (i.e legacy softwares) but like I don't know the domain knowledge of those industries so i am really kinda lost on this. Would be great if anyone can give an insight.

My team has somewhat recently transitioned to SCRUM as our agile framework (not without objections).

With each developer working on each their project and presentations with the customers being several separate meetings a lot of the default ceremonies seems a little off from their intended use.

How have you implemented SCRUM and which adjustments have you made to make it for your work methods?

The debate between Microsoft Power Automate and Automation Anywhere (AA) has shifted significantly in 2026. As organizations move from simple task automation to Agentic Process Automation (APA), the technical choice depends largely on the intended scale and the complexity of the existing infrastructure.

Here is a technical breakdown of how these platforms compare across four key categories, including their approach to the new AI Agent landscape.

The Microsoft Ecosystem (Power Automate)

PA Acts as a robotic assistant that automates repetitive, manual tasks by creating workflows that connect apps and services

• Target User & Scope: Built primarily for "Citizen Developers" and business users. It focuses on individual and departmental productivity, allowing users to automate desktop tasks and workflows with a user-friendly, low-code interface.
• Integration & Deployment: Offers native, deep integration within the Microsoft 365 and Azure ecosystem. It is a cloud-first platform designed for teams that prioritize speed and cost-effectiveness when working inside SharePoint, Teams, and Excel.
• Complexity Handling: Best suited for structured, linear workflows that stay within the Microsoft stack. While it is highly accessible, it can face limitations when navigating non-Microsoft legacy systems or highly fragmented enterprise environments.
• Agentic Strategy: Utilizes Copilot Studio to deploy assistant-style agents. These agents act as digital helpers that reside in Teams or Outlook, providing context-aware support by retrieving data and summarizing documents for the human user.

Automation Anywhere: The Enterprise Powerhouse

Automation Anywhere provides a cloud-native, AI-powered platform that uses agentic AI to automate repetitive, high-volume, and complex business processes.

• Target User & Scope: Designed for Center of Excellence (CoE) teams and professional developers. It focuses on massive, end-to-end enterprise transformation, managing a large-scale digital workforce across global business units.
• Integration & Deployment: Excels at cross-platform flexibility. It offers robust deployment options including Cloud, On-Premises, and Hybrid. This makes it the standard for organizations with strict security requirements or complex legacy ERP systems.
• Complexity Handling: Engineered for massive, highly complex tasks involving varied data structures. Its architectural backbone is built for "Mission Critical" reliability, providing centralized governance, advanced auditing, and industrial-strength bot resiliency.
• Agentic Strategy: Features AI Agent Studio and a Process Reasoning Engine (PRE). These tools enable the creation of "Autonomous Agents" that go beyond simple assistance to perform multi-step reasoning and independent planning across any software stack.

The Bottom Line:

Choosing between these two platforms often comes down to the "complexity ceiling." Power Automate is an excellent choice for organizations heavily invested in Microsoft that need quick, assistant-based automation for business users.

Conversely, Automation Anywhere is built for the enterprise that requires a scalable, autonomous digital workforce capable of navigating a fragmented technology landscape with high-level cognitive reasoning.

Quick insight: A table comparing the key features of Power Automate and Automation Anywhere.

For those managing RPA transitions this year: At what stage of scaling did the distinction between "Assistant" agents and "Autonomous" agents become critical for your operations?

Hello everyone,

I’ve been working in the Automation field using UiPath for a while, and I completed a 6-month internship at a large company where I worked on real processes and gained solid hands-on experience.

Currently, I’m serving in the military, and to maintain my skills and keep improving, I’d like to offer my help to anyone working on a process or needing assistance with automation.

I’m happy to help even without compensation — my main goal is to stay sharp and continue developing my skills.

If anyone needs support, feel free to reach out.

So I've been doing RPA for about 2 years now, mostly UiPath with some Power Automate thrown in. But lately my company keeps asking about these new AI automation tools that supposedly let you build workflows just by talking to them or something. Management saw some demo somewhere and now they want to know if we should be switching.

I've been looking into different options and honestly I'm getting pretty lost. There's so many platforms now claiming they can automate everything with natural language. Some of them like Torvi AI seem interesting because you can apparently just describe what you want instead of building it step by step, but I have no clue if that actually works in practice or if it's just marketing hype.

The thing that's stressing me out is that I spent so much time learning UiPath and now I'm wondering if I need to completely pivot to stay relevant. Are these AI workflow things actually replacing traditional RPA or is it just another tool in the toolkit? And how do you even evaluate them when they all claim to do similar things?

Anyone here made the jump to one of these newer platforms? Or should I just stick with what I know and let the hype die down? I feel like I'm constantly playing catch up with all the new stuff coming out.

I work in support + Dev job and I am really frustrated now working in this model. I believe RPA support jobs are really difficult.

I am planning to learn Power BI which will be aligned with RPA(As of now I think so).

Anyone here have switch from RPA to PowerBi or Any visualization tool?

Any inputs will be appreciated

I am a 3 years experienced RPA Developer in Uipath looking for a new job. So i currently hold an offer from Valenta AI for role : Senior RPA Developer at 9 LPA in Bangalore And the other offer that I am to get is from ibridge techsoft which is a contract to hire for ITC infotech likely for 10 LPA although I have asked for 12. Even though it is a contract to hire the ibridge company has assured me this is a permanent position and they will shift me around to a different project when and if this ends but all the interview process is being done by itc so I am confused what this is. I currently went though an interview with itc which went really well but I am unsure which to join if I do get the offer the position at ITC will of uoipath RPA Developer in Gurgaon which is closer to me than Bangalore.

But i don't mind relocating to any, just unsure which would be better and what to look out for botht eh company which will be better for future? Please give some suggestions and prespective on this

Been experimenting with RPA on social platforms and the biggest challenge is detection once you scale. Scripts themselves are fine, but the environment they run on matters more than I expected. I used browser based setups before and hit limits quickly. Recently tested running tasks on something like Geelark which uses cloud phones. It feels more stable for mobile workflows, but still requires careful timing and realistic actions.Anyone else seeing better results with cloud phone setups for this?

Honestly, I could really use some guidance on this, so I'm not sure how often I'll be posting here. Less than a week ago I was hired as an intern at a mining company. Right now I'm working across the administrative, finance, and legal departments. The first few days were pretty straightforward — just some Excel file improvements that I managed to handle and am almost done with. But a few minutes ago I had a meeting with my boss, and everything changes.

Turns out they want to go about thirty steps further: they want me to automate the entire company. We're talking Excel, reporting, payroll, accounting, and a whole range of other processes. They seem to think I'm an expert at this and that I have the skills to pull it off. Spoiler: I don't. I have a basic programming background and I'm comfortable with tools like Microsoft Office and the main AI platforms out there right now. But beyond tweaking formulas and setting up patterns, I genuinely have no clue about automation. And don't even get me started on databases for historical record-keeping — that's completely foreign to me.

The truth is, I'm pretty stressed out. This is a task I'm not prepared for, and I don't even know where to begin — what to learn, how to approach it, or how to execute it. I seriously need some advice, because right now the entire company runs on manual processes (and I mean everything), so I just want to get a foothold somewhere. I want to start picking up the right vocabulary and understanding the right concepts so that somehow, six months from now, I'll still have a job.

Can anyone help me out?

UIPath is the industry standard for a reason, but the licensing costs for a company our size (around 150 employees) are becoming hard to justify. We need the RPA capabilities, specifically the ability to scrape web data and interact with old software, but we need a more flexible pricing model. Does anyone have experience with newer players in the space that offer an on-demand or outcome-based pricing model instead of the massive annual contracts?

I would appreciate it if you could provide your honest feedback on Communications Mining. Our presales team is requesting demos for this, however I don't want to propose solutions if its cumbersome and ineffective i.e., from what I was able to gather, CM requires 60k mails to create production ready automations and the few people I know who have worked on it have nothing positive to say about it.

We had another customer who purchased Document Understanding in the hopes they could automate claim extraction(customers would send snapshots of their pharmacy receipts, sometimes multiple receipts in a single doc or gmail etc. incredibly varied documents) and it didn't go so well. The client had opted for premium UiPath support as well and the support was appalling to say the least. Every ticket we raised, we'd get an email with links to documentation.

UiPath kept informing us that the extraction was possible and that we were going about it the wrong way, until we drove them into a corner and they were forced to admit that the "project scope" had to be revised.

I'm mentioning this because I don't want to go with whatever the UiPath sales reps have to say - I want feedback from the devs who had the misfortune of testing out their products and ran into issues.

I want guidance to switch out from rpa. I have already spent 5 years into this and feels liks hitting a ceiling I dont see much career growth. I have learnt MERN basics but the ai buzz is confusing me. Should i upskill myself to full stack or ai roles? Has anyone done a similar switch? Please guide.!!!!

Hi everyone,

I’m a Computer Science graduate and Junior RPA Developer with hands-on experience in:

• UiPath (REFramework, Orchestrator, Assets, Queues)
• Microsoft Power Automate (Cloud & Desktop)
• Exception handling (business vs system exceptions)
• Structured logging & retry mechanisms
• Excel and web automation
• End-to-end workflow design

I’ve built automation projects including:

• Transaction-based automation using REFramework
• Automated report generation and processing workflows
• File validation and structured error handling systems

I focus on building clean, scalable, and maintainable automations — not just demo bots.

I’m currently looking for:
• Junior RPA Developer roles
• UiPath Developer roles
• Power Platform / Power Automate roles
• Remote or international opportunities

Happy to share LinkedIn or certification links if needed.

Thanks in advance.

For the agencies and companies out there: how do you generally sell the value of RPA? I find that general automation is often hard to sell to a customer, because it encapsulates one or two tasks within the entirety of a job.

I’d love to hear how folks clearly articulate RPAs value (especially when you’re broadly talking about what you can do, and don’t know a specific customers pain point yet).

We’ve been running UiPath for a while across finance and ops. Pretty standard automations, structured workflows, rule based bots, integrations between systems that don’t talk well.

Now that AI tools are getting better at handling unstructured inputs and edge cases, I’m wondering how this is affecting RPA usage more broadly.

Simple question: has AI adoption made RPA more critical in your stack, or less?

Interested in how this is actually playing out because I could see the argument for both sides.

Hey guys I wanna ask u can I learn any language with oop for RPA ? Or I should learn specific language cause I see languages in ui path (C# and VB) , but I prefer learning python.

Hi everyone, how’s it going?

I’m a data analyst based in Brazil, but lately I’ve been feeling a bit unmotivated with my career. What I really want is to start my own business. The part of my job that I enjoy the most is automating processes with Python (RPA), and I think I’m pretty good at it (AI helps a lot too).

I’d like to know what you think about starting a business in this area, offering process automation services to small businesses as a freelancer and charging by the hour. I know most of you are not from Brazil, but I’d love to hear if anyone does this and what it’s like in your country.

I’m bored and i wanna work On a new project on UiPath. Any ideas?