Driver
Official@driver-ai
Offers structured technical research, TDD-first implementation planning, and SDLC coordination for complex feature development projects.
Agent Skills by Driver
Showing 6 vetted skills indexed across 1 GitHub repositories.
driver-aiintent-guidance
Capture feature development intent and generate a research reference document.
driver-aisdlc-orchestration
Coordinate SDLC feature projects with Claude Code and Driver MCP server.
driver-aimaterialize-tasks
Convert approved plan tasks into executable task documents for sub-agents.
driver-aiimplementation-guidance
Execute predefined implementation plans with task tracking and commit discipline.
driver-airesearch-guidance
Guide structured technical research with codebase context validation.
driver-aiplanning-guidance
Develop TDD-first implementation plans with functional-core/imperative-shell architecture.
Frequently Asked Questions About Driver
FAQPage SchemaWhat specific tasks does Driver enable for engineering teams?▼
Driver enables structured technical research, the generation of TDD-first implementation plans, and the conversion of high-level project requirements into granular, executable task documents. It facilitates consistent commit discipline and ensures codebase context validation throughout the development lifecycle.
Which personas benefit most from using Driver?▼
Software engineers, technical leads, and project architects benefit from Driver. It is designed for developers who prioritize TDD-first methodologies, functional-core/imperative-shell architecture, and those requiring rigorous coordination of complex feature development projects within their existing codebase.
What are the prerequisites for running Driver?▼
Driver requires an environment configured with Claude Code and the Driver MCP server. Users must have an existing codebase to provide the necessary context for research validation and implementation planning tasks.