Standard Dev Flow
Orchestrates multi-stage development workflows across specialized planning, implementation, review, and verification AI entities.
Standard Dev Flow establishes a structured software development lifecycle by orchestrating specialized AI entities through distinct phases: planning with dev-planner, implementation with dev-implementer, review with dev-reviewer, and verification with dev-verifier. Driven by a typed CLI runtime protocol, this skill enforces task discipline, automated session controls, status tracking, and continuous verification loops, making it ideal for coordinating complex multi-agent engineering workflows within One Works and compatible developer environments.
Key Features
01Typed CLI runtime stream-JSON protocol integration for unified agent session control
02Standardized prompt and envelope templates for reproducible multi-entity execution
03Structured four-stage development workflow covering planning, coding, review, and test verification
0420 GitHub stars
05Background task lifecycle orchestration with session start, status polling, and event streaming
06Adaptive flow control allowing seamless re-planning and parallel review-verification execution
Use Cases
01Orchestrating concurrent background AI tasks across standardized CLI runtime environments
02Managing end-to-end feature delivery from initial technical scoping to verified code changes
03Conducting automated regression reviews and risk assessments alongside code generation