project-development

What problem does it solve?

This Skill provides a structured methodology for developing LLM-powered projects, from initial task assessment to cost estimation and iterative refinement.

Core Features & Use Cases

• Task-Model Fit: Guides users on identifying tasks suitable for LLMs versus traditional code.
• Pipeline Architecture: Defines a canonical staged pipeline (acquire → prepare → process → parse → render) for robust LLM applications.
• Development Methodology: Emphasizes manual prototyping, agent-assisted development, and file system state management.
• Use Case: Kickstart a new AI project by understanding if LLMs are appropriate, designing an efficient processing pipeline, and planning for cost and iteration.

Quick Start

Use the project-development skill to start a new LLM project by evaluating task-model fit and designing a pipeline architecture.