What problem does it solve?
This Skill helps users break down complex manual workflows into discrete steps, identifying which parts can be automated by AI. It clarifies dependencies and proposes optimal AI skill configurations, drastically reducing manual effort and improving process efficiency.
Core Features & Use Cases
- Step-by-Step Decomposition: Breaks down any task into detailed, manageable steps with clear inputs and outputs.
- Automation Potential Assessment: Evaluates each step for automation feasibility, difficulty, and impact, prioritizing high-value automation opportunities.
- AI Skill Mapping: Classifies automatable elements into Workflow Skills (for procedures) and Convention Skills (for rules), proposing a structured AI plugin architecture.
- Use Case: A team wants to automate their code review process. They use this skill to analyze their current review workflow, identify automatable checks (like static analysis, test coverage), and receive a recommended set of AI skills to build.
Quick Start
Analyze the attached document 'code-review-process.md' to identify automation opportunities and propose a skill configuration.