What problem does it solve? Coordinating complex software development across specification, architecture, implementation, testing, and review phases is error-prone when done ad hoc. This Skill provides a structured SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) methodology with multi-agent orchestration to run systematic, test-driven development workflows. ## Core Features & Use Cases - 17 Specialized Modes: Includes orchestrator, architect, coder, tdd, reviewer, researcher, debugger, optimizer, and more, each with defined capabilities and usage patterns. - Multi-Agent Orchestration: Supports hierarchical, mesh, ring, and star swarm topologies with parallel execution for 2.8-4.4x speed improvements. - TDD Workflows: Built-in red-green-refactor cycles targeting 90%+ test coverage with Jest, Playwright, and other frameworks. - Use Case: To build a full-stack authentication feature, initialize a hierarchical swarm, then run researcher, architect, coder, tdd, and reviewer modes in sequence with shared memory for cross-agent coordination. ## Quick Start Ask the AI to run the SPARC pipeline for your feature, for example: use the sparc-methodology skill to design and implement a JWT authentication API with test-driven development.
