What problem does it solve?
Manually re-explaining project context (tech stack, coding conventions, test setup, architecture) to AI assistants for every development task wastes time and consumes unnecessary context tokens, especially for long-running AI-driven development workflows.
Core Features & Use Cases
- Automated Project Analysis: Detects tech stack, test frameworks, directory structure, and coding conventions by scanning project configuration files and sample source code.
- Compact Context Generation: Creates a standardized, under-500-line context file that serves as a shared reference for all subsequent dev skills (dev-plan, dev-impl, dev-verify, dev-debug) to avoid repetitive context loading.
- Use Case: When starting work on an existing codebase, run this skill once to generate the context file, so all later development tasks do not require re-explaining the project's basic setup and rules.
Quick Start
Ask the AI to run the dev-context skill to analyze your current project and generate the shared development context file for use in later workflow steps.