How SenseNova Skills turns one AI agent into a full workflow assistant

Most AI tools promise to do everything, from research and analysis to slide decks and images. In reality, many of them are just chatbots with nicer interfaces. You still have to babysit them with detailed prompts and manual steps.

SenseNova Skills takes a different approach. Instead of being another standalone app, it’s an open-source skill library that plugs into AI agent frameworks and gives them real, reusable abilities for office and knowledge work.

What is SenseNova Skills?

SenseNova Skills is an open-source collection of "skills" you can install into AI agent frameworks like OpenClaw and Hermes Agent. Think of each skill as an app that teaches your agent how to perform a specific, structured task—like deep market research, spreadsheet analysis, or presentation creation.

On its own, an AI model knows how to chat. With SenseNova Skills installed, that same agent can follow predefined workflows for complex tasks without you writing long, custom prompts every time.

Key capabilities include:

• Deep research across multiple sources
• Excel and spreadsheet analysis
• Automatic presentation generation
• Image and infographic creation
• Search across technical and academic content

Because the skills follow a common agent skill standard, they’re not locked into one vendor. You can reuse them across compatible agent frameworks and extend them with your own custom skills.

How skills work like apps for your AI agent

Instead of switching between separate AI tools, you install skills directly into your AI agent. Once installed, the agent doesn’t just “guess” what to do from your prompt—it follows a structured workflow defined by the skill.

For example, a research skill might define steps like: identify subtopics, search multiple sources, extract key data, organize findings, then assemble a final report. The agent follows this process automatically, rather than you manually prompting each step.

This approach is especially powerful for people who rely on AI in their daily work, like consultants, analysts, founders, and content creators. It moves AI from “chat helper” to something closer to a specialized digital teammate.

Deep research without 20 browser tabs

One of the standout skills in SenseNova is deep research. Instead of opening countless tabs and copying notes into a document, you can ask the agent for a full research report on a topic—like the global electric vehicle (EV) industry.

With the research skill, the agent can:

• Search multiple sources, including technical and academic content
• Organize information into sections (market growth, technology, competitors, policy, opportunities, etc.)
• Produce a structured report with an executive summary, tables, and business insights

In the EV example, the report covered why the industry is expected to keep growing, China’s leadership in the market, falling battery costs, and how autonomous driving and AI could shape future growth. Instead of spending hours collecting and formatting information, most of the heavy lifting was already done.

If you’re interested in how AI is changing research and knowledge work more broadly, it ties into bigger trends discussed in AI and the future of work: threats, opportunities, and what we can do now.

Spreadsheet and data analysis like a built-in analyst

Another major skill focuses on data and spreadsheets. Normally, analyzing a SaaS company’s operational data might involve exporting CSVs, cleaning them in Excel or a BI tool, building charts, and then writing a summary.

With the data analysis skill, the agent can:

• Clean and preprocess the dataset
• Analyze key metrics and trends
• Generate charts and visualizations
• Produce a written business report with insights and recommendations

In the test case, the skill highlighted rapid MRR growth, strong retention, solid unit economics, and even suggested strategic next steps. The output included both an interactive HTML-style dashboard and a narrative report that could be shared directly with a team.

This feels much closer to having a junior business analyst on call than simply asking an AI to “summarize this spreadsheet.” It also overlaps with what many dedicated analytics tools and BI platforms try to do, but inside a single agent environment.

Automatic presentation generation for business use

For anyone who lives in PowerPoint or Keynote, the presentation skill is a big time saver. Instead of manually turning research and data into slides, you can ask the agent to create a full investment or business presentation.

For example, you might request an investment deck on Tesla, including:

• Company overview and research
• Financial analysis
• Market sentiment
• Technical analysis
• Competitor comparisons
• A clear investment thesis

The presentation skill then structures this into a slide deck with business-friendly layouts, rather than just giving you pages of text. You get something that’s already organized for meetings, client calls, or internal reviews.

For consultants, creators, and operators who build decks constantly, this can compress hours of work into minutes—especially when combined with the research and data analysis skills.

Infographic and diagram generation with SenseNova U1

SenseNova Skills also taps into the SenseNova U1 model for image generation, but with a focus on useful visuals rather than just pretty pictures. The goal is to turn structured information into clear infographics, diagrams, and workflow illustrations.

Typical use cases include:

• Business report visuals
• Technical diagrams and architectures
• Process and workflow illustrations
• Presentation graphics and educational visuals

According to the documentation, the system performs automatic prompt expansion, quality checks, and ranking of outputs before returning the final result. That helps keep the visuals both accurate and consistent, which is critical if you’re using them in reports or client-facing materials.

Chaining skills into one end-to-end workflow

The real power of SenseNova Skills shows up when you chain multiple skills together. Instead of treating research, analysis, presentations, and images as separate tools, one AI agent can orchestrate the entire workflow.

Imagine a typical project:

1. Research a company and its market
2. Analyze its financial or operational spreadsheets
3. Generate an investment or strategy presentation
4. Create infographics and diagrams for key slides

With SenseNova Skills, this doesn’t require four different AI services. One model with multiple skills can handle everything, passing structured outputs from one step to the next. That’s the core philosophy: a single AI agent with an expanding library of specialized capabilities, rather than a pile of disconnected tools.

This skill-based approach also aligns with how people are starting to think about AI careers and capabilities. For example, learning how to design and use these kinds of workflows is part of why Claude AI skills that can earn more than a college degree argues that practical AI skills are becoming extremely valuable.

Open source and extensible for developers

SenseNova Skills is fully open source on GitHub. Once the repository is accessible to your agent environment, the agent can install the skills into the correct directory automatically. After a restart, all the new capabilities are available.

For developers, this means you can:

• Inspect how each skill is built and orchestrated
• Modify existing skills to match your workflows
• Add your own custom skills that follow the same standard
• Reuse skills across different agent frameworks that support the standard

Instead of being locked into a closed ecosystem, you get a transparent, extensible toolkit for building serious AI-powered workflows.

Why skill-based agents are a big deal

SenseNova Skills reflects a broader shift in how AI systems are being designed. Rather than betting everything on one giant model that “knows” how to do every task, more teams are building modular systems where specialized skills handle specific jobs.

This has a few big advantages:

• Easier to improve: You can upgrade or replace a single skill without touching the whole system.
• Easier to automate: Workflows become predictable and repeatable, not prompt-dependent experiments.
• Better for real work: Structured skills map more closely to how businesses actually operate—research, analysis, reporting, presentations, and so on.

After looking at SenseNova Skills, the most impressive part isn’t any one feature. It’s the way deep research, spreadsheet analysis, presentation generation, and infographic creation all run inside one AI agent instead of four or five different apps.

If you’re already using AI agents like OpenClaw or Hermes Agent—or you’re thinking about building serious AI workflows—SenseNova Skills is worth exploring as a foundation for a more capable, skill-based AI assistant.