What problem does it solve?
This Skill solves the problem of unreported, recurring errors in the OL AI skill library by providing a structured, user-approved workflow to capture skill defects, analyze their root cause, and submit them as GitHub issues for maintainers to fix, preventing the same mistakes from impacting other users.
Core Features & Use Cases
- Structured Defect Reporting: Captures observed vs expected output, root cause analysis, and suggested fixes for skill errors, with support for named or anonymous submission.
- Comparative Rigor Review: Compares OL skill outputs against equivalent external frameworks using a standardized rubric to identify methodological gaps and strengths for continuous improvement.
- Privacy-Preserving Attribution: Supports anonymous issue posting via a dedicated GitHub App bot to protect reporter identity when desired.
Use Case: If the clean-code-reviewer skill incorrectly flags a valid snake_case class name as non-compliant, use this Skill to document the error, submit a tracked GitHub issue, and help improve the skill for all users.
Quick Start
Use the skill-feedback skill to submit a defect report for the ob-engineer skill after it generates code that violates the project's single-quote string rule.
