project-development

What problem does it solve?

This skill provides a practical methodology for identifying tasks suited to LLM processing, designing project architectures, and iterating rapidly with agent-assisted development—covering ideation through deployment.

Core Features & Use Cases

• Task-Model Fit Evaluation: decide whether a task is best solved by an LLM, traditional code, or hybrid approaches.
• Pipeline Architecture: define canonical stages (acquire → prepare → process → parse → render) and file-system-based state management.
• Structured Outputs: enforce parseable, machine-read outputs at each stage for easy debugging and re-run capabilities.
• Agent-Assisted Development: rapid iteration by combining human intent with agent automation.
• Cost & Timeline Estimation: rough guidance to plan scope and schedule.

Quick Start

Run an end-to-end batch with the included pipeline template. Command: python dot_claude/skills/context-engineering/project-development/scripts/pipeline_template.py all --batch-id demo-01