What problem does it solve? Turning a successful multi-step interaction with an AI agent into a repeatable, reusable skill is manual and error-prone. This Skill guides the agent through a structured process to capture a completed workflow and package it as a proper skill with correct frontmatter, scripts, and documentation. ## Core Features & Use Cases - Guided Brainstorming: Runs a mandatory multi-round interview covering scope, inputs/outputs, error handling, rate limits, and dependencies before any code is written. - CLI Script Generation: Produces argparse-based Python CLI scripts from a template with built-in rate limiting, retry logic, and file-based JSON output. - Design and Validation Phases: Requires an approved design document before implementation and manual testing with sample queries afterward. - Use Case: After working with an agent to query a scientific API and summarize results, ask it to package that workflow into a skill so the same process runs consistently next time. ## Quick Start Ask the agent to turn the workflow we just completed into a reusable skill.