What problem does it solve?
This Skill eliminates inconsistent, ad-hoc checklist validation across AI agents, ensuring every work item is assessed against the same clear, standardized criteria.
Core Features & Use Cases
- Dual Execution Modes: Supports autonomous YOLO mode for unattended full-checklist runs and interactive mode for section-by-section user confirmation, fitting both fast automated workflows and collaborative review scenarios.
- Universal Markdown Checklist Support: Works with any standard .md checklist, no custom formatting or setup required, with fuzzy matching to resolve partial or incorrect checklist names.
- Standardized Verdict Reporting: Generates consistent pass/fail/partial/not applicable verdicts for each checklist item, plus section-level pass rates and actionable improvement recommendations.
- Use Case: A development team can use this Skill to run their pre-push checklist autonomously before merging code to catch quality issues early, while a product owner can run the PO master checklist interactively to validate story completeness with stakeholder input.
Quick Start
Use the checklist-runner skill to validate your current code changes against the pre-push checklist in autonomous mode before pushing to the repository.
