Checklist Generator

What it does

This skill automatically generates quality checklists to ensure thorough validation before task completion. It combines established IEEE 1028 standards (making up 80-90% of the checklist items) with project-specific context identified by the AI agent (contributing 10-20%). The result is a systematic approach to quality assurance, tailored to the specifics of your project.

When to use it

• Before completing implementation tasks
• During code review processes
• In the QA validation phase
• As part of pre-commit verification steps
• Before marking tasks as complete

Key capabilities

• IEEE 1028 Base: Includes standard quality review items covering Code Quality, Testing, Security, Performance, Documentation, Error Handling. Examples include checking for code duplication, ensuring test coverage ≥ 80%, and verifying input validation.
• Contextual Enhancement: Analyzes project files to identify frameworks (React, Vue, Angular), languages (TypeScript, Python), patterns (REST API), and infrastructure (Docker) to add relevant, AI-generated checklist items.
• Systematic Validation: Provides a comprehensive quality coverage approach by combining universal standards with project-specific considerations.

Example prompts

• "Generate a quality checklist for this React TypeScript project."
• "Create a checklist based on IEEE 1028 standards for code review."
• “Give me a quality checklist before I mark this task complete.”

Tips & gotchas

• The skill relies on analyzing project files to understand the context. Ensure these files are accessible to the AI agent.
• The generated checklists will be primarily based on IEEE 1028 standards, with approximately 10-20% of items tailored to the specific project context.