What problem does it solve? It turns an OpenSpec change's task list into working code by guiding the AI through selecting the change, reading its context files, and implementing each pending task with progress tracking. ## Core Features & Use Cases - Change Selection: Picks a change by name, conversation context, or by listing active changes when ambiguous, with support for named stores via --store. - Status-Aware Workflow: Reads schema, progress, and apply instructions from openspec status and openspec instructions apply, handling blocked and all-done states. - Task Implementation Loop: Works through pending tasks one by one, marking checkboxes complete in the tasks file and pausing on ambiguity, errors, or design issues. - Use Case: After drafting a spec-driven change with proposal, design, and tasks, run this skill to have the AI implement all seven tasks, updating checkboxes as it goes and suggesting archive when finished. ## Quick Start Ask the AI to implement the tasks from your OpenSpec change, for example by saying "apply the add-auth change".