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5 LLM Skill Design Patterns for Predictable Output

This article outlines five design patterns for creating predictable and reliable LLM skills. These patterns include the Single Responsibility principle, where a skill performs only one task; Contract-Driven design, which enforces explicit input and output structures; Progressive Enhancement, allowing graceful degradation with incomplete inputs; Observable Design, providing intermediate steps for user oversight; and Defensive Output, which labels uncertain information and requires confirmation for critical actions. Adhering to these patterns significantly improves a skill's overall design quality and runtime compliance. AI

IMPACT These patterns offer a structured approach to building more reliable and predictable LLM-based tools and applications.

RANK_REASON The item describes design patterns for LLM skills, which is a practical application or tool for developers.

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5 LLM Skill Design Patterns for Predictable Output

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  1. dev.to — LLM tag TIER_1 English(EN) · WonderLab ·

    Skill Series (03): Skill Design Patterns — 5 Patterns That Make Output Predictable

    <h2> Five Dimensions of a Skill </h2> <p>Every Skill can be designed and audited across five dimensions:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>Skill = When (trigger condition) + Who (role declaration) + What (task objective) +…