project-development

This skill covers the principles for identifying tasks suited to LLM processing, designing effective project architectures, and iterating rapidly using agent-assisted development. The methodology applies whether building a batch processing pipeline, a multi-agent research system, or an interactive agent application.

Not every problem benefits from LLM processing. The first step in any project is evaluating whether the task characteristics align with LLM strengths. This evaluation should happen before writing any code.

| Synthesis across sources | LLMs excel at combining information from multiple inputs | | Subjective judgment with rubrics | LLMs handle grading, evaluation, and classification with criteria | | Natural language output | When the goal is human-readable text, not structured data | | Error tolerance | Individual failures do not break the overall system |