task-driven-ai-dev

What problem does it solve?

This skill prevents unreliable “run everything” automation by turning a repo into an explicit, durable task-delivery loop where each iteration selects exactly one ready task, implements it within a guarded scope, validates it with evidence, and then stops.

Core Features & Use Cases

• Task-driven single-iteration delivery: Chooses one ready backlog item conservatively and refuses to mark blocked work as complete.
• Durable artifact contract: Uses repo files such as architecture.md, task.json, progress.txt, and project-config.json as the source of truth.
• Validation-first completion: Requires real validation (including browser checks when user-facing flows change) before updating task state and recording testing evidence.
• Subagent orchestration guidance: Provides decision rules for when to delegate selection/worker/verification roles versus staying local.

Quick Start

Ask the AI to run one guarded delivery iteration for the repo’s next ready item by using task.json plus the provided selection and validation scripts, then update task.json and progress.txt only after the validation evidence is recorded.