# Peter Yang: Claude Skills, Clearly Explained Source: https://www.youtube.com/watch?v=cNWK0vQJfB8 Recap page: https://rapidrecap.app/video/cNWK0vQJfB8 Generated: 2026-01-16T14:02:54.613+00:00 --- ## Quick Overview The key to achieving reliable, complex AI output is to use a custom instruction hack that forces the AI to adhere to a specific, multi-part structure, such as using a main folder for the skill and a dedicated subfolder for resources, which prevents the AI from defaulting to generic, unhelpful outputs. **Key Points:** - The primary problem is AI inconsistency, where the model fails to reliably use complex, multi-part skill structures for tasks like generating strategic documents. - The solution involves creating a custom instruction hack that mandates a specific folder structure: a main folder named after the skill (e.g., "writing style") and a subfolder named "resources." - This structure forces the AI to apply complex formatting, such as using short paragraphs, incorporating bullet points, and demanding conciseness, which avoids generic, verbose output. - The explicit instruction to avoid the word "delve" and to use short, punchy paragraphs prevents the AI from falling back on overly formal or verbose writing styles. - The expert method required the AI to validate the generated output against the required structure, ensuring that all elements were correctly placed (e.g., the strategy document template residing in the 'resources' subfolder). - When the AI followed this rigorous structure, it produced a perfect output, demonstrating that explicit structural mandates override the model's natural tendency towards generic responses. - The ultimate goal is to ensure the AI consistently applies complex, multi-part skill definitions rather than defaulting to simpler, less useful behaviors. ![Screenshot at 13:46: The speaker confirms that the structure requires the AI to gather external knowledge \(like market data\) and then apply the internal structure, which is the core of the successful method being demonstrated.](https://ss.rapidrecap.app/screens/cNWK0vQJfB8/00-13-46.jpg) **Context:** This discussion revolves around advanced prompt engineering techniques, specifically how to structure instructions to reliably guide a large language model (like Claude) in producing complex, multi-file outputs, such as strategic documents or proposals, while maintaining specific formatting and tone requirements, contrasting this with the model's default tendency toward generic or verbose responses. ## Detailed Analysis The speaker explains that a major hurdle in getting AI to perform complex, multi-part tasks reliably is overcoming its tendency to revert to generic, verbose outputs, which they term "AI slop." The solution presented is a custom instruction hack that mandates a specific, multi-part structure for the AI to follow. This structure requires two main components: a primary folder named after the skill itself (e.g., "Writing Style Skill") and a dedicated subfolder named "Resources." The AI must be explicitly instructed to place all supporting materials, like strategy documents, templates, and examples, within that 'Resources' subfolder. Furthermore, the instructions must enforce specific stylistic rules, such as using short paragraphs, incorporating bullet points, maintaining a direct tone, and explicitly forbidding overly formal language like "delve." When these rigorous, explicit structural and stylistic constraints are applied, the AI successfully generates the required complex output (a strategy document) that adheres to the specified format and content, eliminating the guesswork and inconsistency often seen when only using high-level goals. ### The Problem - AI Inconsistency: The default AI behavior relies on passive inference, leading to inconsistent output quality, especially when complex structures are required, like in the case of a strategy document. ### The Solution - Custom Instruction Hack: Create a mandated structure involving a primary skill folder and a dedicated 'Resources' subfolder for all supporting documents, forcing specificity. ### Stylistic Constraints - Explicitly instruct the AI to use short paragraphs, incorporate bullet points for easy skimming, maintain a direct tone, and avoid overly formal or generic language like 'delve'. ### The Test Case - A complex, multi-part skill structure (like a proposal or strategy document) that requires both external data gathering and internal formatting rules. ### The Result - The method successfully forces the AI to adhere to the complex structure, yielding a perfect, professionally formatted output that saves significant manual editing time. ![Screenshot at 00:00: The video opens with an audio waveform visualization and a call to action: "Become A Member Today!"](https://ss.rapidrecap.app/screens/cNWK0vQJfB8/00-00-00.jpg) ![Screenshot at 02:33: The speaker explicitly states that a skill is different from a project, emphasizing the need for clear definition.](https://ss.rapidrecap.app/screens/cNWK0vQJfB8/00-02-33.jpg) ![Screenshot at 03:59: The speaker differentiates between reference files \(instructive\) and script files \(executable code\), explaining the structure.](https://ss.rapidrecap.app/screens/cNWK0vQJfB8/00-03-59.jpg) ![Screenshot at 07:33: The speaker outlines the three critical parts of the required structure: a main folder, a specific file name, and a dedicated resources subfolder.](https://ss.rapidrecap.app/screens/cNWK0vQJfB8/00-07-33.jpg) ![Screenshot at 13:35: The speaker confirms that the rigorous, multi-part testing process worked flawlessly, yielding a perfect result.](https://ss.rapidrecap.app/screens/cNWK0vQJfB8/00-13-35.jpg)