project-development

# Project Development Methodology 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. ## When to Activate Activate this skill when: - Starting a new project that might benefit from LLM processing - Evaluating whether a task is well-suited for agents versus traditional code - Designing the architecture for an LLM-powered application - Planning a batch processing pipeline with structured outputs - Choosing between single-agent and multi-agent approaches - Estimating costs and timelines for LLM-heavy projects ## Core Concepts ### Task-Model Fit Recognition Evaluate task-model fit before writing any code, because building automation on a fundamentally mismatched task wastes days of effort. Run every proposed task through these two tables to decide proceed-or-stop. **Proceed when the task has these characteristics:** | Characteristic | Rationale | |----------------|-----------| | Synthesis across sources | LLMs combine information from multiple inputs better than rule-based alternatives | | Subjective judgment with rubrics | Grading, evaluation, and classification with criteria map naturally to language reasoning | | Natural language output | When the goal is human-readable text, LLMs deliver it natively | | Err...