
Skywork
SKYWORK AI PTE. LTD. · Productivity · China AI
Skywork is an AI workspace agent from Kunlun Tech that turns a single prompt into research reports, slides, spreadsheets, and websites, with every claim traced back to a source.

About Skywork
What Is Skywork
Skywork is a productivity platform built around AI agents rather than a single chat box. You describe a task, and the system plans it, runs the research, and hands back a finished deliverable such as a report, a slide deck, a spreadsheet, or a working web page. Kunlun Tech launched the web version on May 22, 2025, and followed with mobile apps that share the same account.
The pitch is depth over breadth. Instead of a general assistant that produces thin answers, Skywork leans on a Deep Research engine that reads text and images, then keeps a citation on each data point so you can check where a number came from. A set of specialist agents handles documents, slides, sheets, podcasts, and web pages, while a general agent calls dozens of MCP tools for images, music, and video.
The main limits are cost and scope. Heavy sessions burn credits, so long research runs and large media jobs add up, and the most advanced tiers sit behind a subscription. Output quality also varies by task, so a generated deck usually needs a light edit before it goes in front of a client.
Getting Started
- Create an account at skywork.ai with an email address or a Google login.
- Pick an agent mode, such as Documents, Slides, Sheets, or the general agent, and describe what you need.
- Answer the short follow-up prompts so Skywork can lock the topic, format, and style before it runs.
- Review the draft in the editor, adjust any section, and export to your preferred file format or publish the page.
Product Information
A quick look at Skywork's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Consultants and analysts
- Marketing and sales teams
- Students and researchers
- Small product teams
Tasks
- Market and competitor research
- Slide creation
- Spreadsheet analysis
- Podcast and media generation
- Website creation
Scenarios
- Turning a rough idea into a client-ready deliverable on a deadline
- Weekly reports
- First-pass due diligence
- Content reuse
Key features
Deep Research with citations
This is the engine the rest of the product leans on. You give it a question, it plans its own searches, reads text and images across many pages, and returns a structured report with a source link on every key figure. The multimodal part matters, because a lot of useful data lives inside charts, tables, and screenshots rather than plain text. Kunlun Tech says its deep research model scored 82.42 on the GAIA benchmark, a company figure rather than an independent result.
Specialist agents for documents, slides, and sheets
Instead of one general model doing everything, Skywork splits the work across agents tuned for a specific format. The Documents agent writes reports with charts and citations, the Slides agent designs decks with a range of chart types, and the Sheets agent reads an uploaded file and builds tables and visuals from it. You pick the agent that matches the job, which keeps the output closer to what each format expects.
AI Developer for websites and apps
AI Developer, also called Vibe Coding Agent, lets you describe a web app in natural language and get a working, deployed site back. It suits landing pages, internal tools, and quick demos where a full engineering cycle would be overkill. It isn't aimed at complex production systems, so treat the output as a starting point you refine.
Dynamic workflows and scheduling
Dynamic workflows break a complicated task into steps and run multiple agents in parallel, which cuts the wait on larger jobs. Scheduled tasks let you fix a recurring job, like a weekly summary, and the agent repeats the same brief without a new prompt each time. This is where the product starts to feel less like a chat tool and more like a worker running in the background.
A broad layer of professional data
Skywork connects to hundreds of reference data sources, such as the World Bank, the IMF, the WHO, and PubMed, alongside academic and financial databases. On research that leans on official statistics or peer-reviewed material, this cuts the guesswork an agent would do with only open web pages. Access to the deeper paid sources is tied to the paid plans.
Podcast, images, and video from one space
A general agent calls dozens of MCP tools to produce images, posters, music, narrated podcasts, and short video clips. You can turn a document into an explainer audio or a topic into a scripted video without leaving the workspace. The output works for internal use and social, but professional-grade media still goes through human hands.
Pros and cons
Pros
- Deep research returns reports with citations, so you can trace every figure to its source instead of trusting a black box.
- Per-format agents keep slides, documents, and sheets closer to what each format needs.
- The AI Developer mode produces a deployed website from a text description, which is fast for prototypes.
- Scheduled workflows and parallel agents cut delivery time on recurring research.
- Broad data source coverage, with official statistics and academic databases, fits research-heavy work.
Cons
- Credits run down quickly on long research or media-heavy jobs, so heavy users pay well above the entry price.
- The output still needs editing, and weak prompts produce generic decks or shallow reports.
- The most capable plans and the deepest data sources sit behind higher prices, which raises the real cost for occasional use.
- Media generation is fine for drafts, but final audio and video usually need a human pass.
Frequently asked questions
It is an AI workspace agent that turns a prompt into finished work: research reports, presentations, spreadsheets, podcasts, and websites. You describe the task, and it plans, researches, and produces the deliverable with sources attached.
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