Two Simple Skills Fix Claude Code Sessions

I often find myself halfway through a project in Claude Code, only to realize the output is not what I wanted at all. I used to accept this as part of the iterative process, but the reality was that I was frequently scrapping sessions or arguing with the AI to get back on track. This is a significant waste of computational resources and time. I tried writing longer, more detailed system prompts, but that did not solve the core issue of misalignment.

The solution turned out to be surprisingly simple. It was not a new model or a complex plugin, but two specific skills. One operates at the very beginning of a session to force careful thinking, and the other operates at the end to ensure the final result is usable and polished. These two additions have transformed my workflow from a series of frustrating corrections into a structured, efficient process.

Skills are just simple text files

It is easy to overcomplicate how Claude Code extensions work, but at their core, skills are just plain markdown files. For personal use, they live in a specific directory in your home folder, while project-specific ones go into the project root. Claude reads the description of each skill, decides if it applies to your current task, and then follows the instructions inside. This simplicity is often overlooked because people are used to installing heavy software packages or navigating complex plugin stores.

The first skill I recommend is a process-oriented one, not one that generates a file. Its job is to steer how the AI approaches the problem. Specifically, it forces Claude to stop, ask one focused question at a time, and wait for your answer before proceeding. I use the brainstorming skill from the Superpowers repository, which is currently very popular on GitHub. It classifies your request and works through the design in sections, ensuring you approve the plan before any code is written.

A single question prevents later errors

The biggest benefit of this initial planning step is that it catches misunderstandings early. In the past, I would give a vague prompt and then spend an hour saying, 'no, that is not what I meant.' By forcing a structured brainstorming phase, one clarifying question upfront saves hours of back-and-forth later. The skill essentially acts as a checkpoint, ensuring that the AI has the full picture and that you have approved the design before moving to the execution phase.

This approach works because it addresses the fundamental problem of AI coding assistants: they are eager to please and often guess what you want. By inserting a mandatory thinking step, you remove the guesswork. The AI cannot rush ahead because it is programmed to wait for input. This creates a collaborative rhythm rather than a chaotic one, making the entire project feel more controlled and predictable.

Discipline at the finish line

The second half of my workflow deals with the final output. Even when the code is correct, the final deliverable often lacked nuance or suffered from overcorrections when I asked for changes. To fix this, I use an output skill that provides a repeatable, disciplined process for producing the final artifact. I rely on the skills repository published by Anthropic, which includes tools for creating documents, PDFs, and spreadsheets.

These output skills are the same ones that power document creation in the Claude web app, but they are available as source code for developers. They ensure that the final result is not just a raw dump of text or code, but a properly formatted, usable file. This consistency is crucial because it means you do not have to manually clean up the output every single time. The AI handles the formatting and structure according to a strict set of rules.

According to XDA Developers, this combination of a planning skill and an output skill is what truly improves the workflow. The catch is that you have to be willing to slow down at the start. The initial brainstorming step takes a few minutes, but it prevents the much larger time sink of debugging misaligned code. The trade-off is worth it for anyone who has ever felt like they are fighting their AI assistant rather than working with it.