Cognitive Variability Skill Use Case


InfraNodus promotes cognitive variability across two spectrums: scale and intent. It nudges a thinking process to alternate between exploration and focus, small scale and big scale, and to connect and disrupt ideas. This is done through the graph interface, workflow scenarios, and instructions that encourage the user to switch attention, intention, and scale.

We built this schema both into our main graphical interface, into the MCP server, and into the Claude Skills collection. The schema works best with the InfraNodus MCP server as it has access to network analysis tools that help diagnose the state of a discourse and recommend the next actions.

Cognitive Variability Schema

Use Case: Developing the Content of an Article

To demonstrate how the InfraNodus skills work, we will demonstrate how we can use it on this very article. Considering that the "cognitive-variability" skill is already installed in Claude, we copy all the previous text (up to this moment) and ask Claude to help us develop the ideas further:


												I feel stuck with this text, can you help me develop it further:
												... [pasted text] ...

											

Normally, without any skills installed, Claude would respond with generic suggestions, maybe ask a few questions, try to extrapolate. That would be hit or miss.

Claude immediately recognizes the trigger pattern—"stuck" signals a specific cognitive state. It silently reads the cognitive variability skill, understands you're likely in a "Biased" state (tunnel vision on one angle), and applies the framework without you asking. The most amazing thing is that it could also be your own methodology, which is very useful for building custom workflows:

Claude Skill Example

Claude then provides us with the advice that includes the gaps we could focus on and some practical steps to develop the text in this article further:

Claude Skill Example with Advice

In our case, it suggested us to add more practical examples ("show, don't tell") and thus diverify the content of the article and make it appeal to a broader audience.

We can then ask Claude to help us refine the text and make it more engaging and appealing to the audience:


											I like the first two points about making it more practical (points 1 and 2). Can you propose something I could write in my style on that topic further?
										

Claude automatically identifies the writing assistant skill and helps us refine the text in our style:

Claude Skill Example with Refinement

In our case, we added this very section following the suggestion of Claude where we provide a description of a practical example. I don't like to copy / paste AI-written text (even if it's written in my style), so I rewrote it, but Claude definitely helped to understand what should be the next topic to focus on.

We can then use the InfraNodus MCP server to help us refine this text further through bridging the content gaps and making it more SEO friendly:

Claude Skill Example with MCP

The SEO report from the InfraNodus MCP tool tells us to focus more on the practical aspects and some technical problems that people might have: installing the skills and also addressing the cases when they are not invoking. Which we're going to do in the next section.