qruiq-optimize-skills

To optimize AI skill definitions, this tool summarizes session execution history to identify usage patterns, failures, and manual interventions, then proposes updates to SKILL.md files with explicit user confirmation before applying changes.

Reviewing and approving changes to skill definitions is handled via a diff-style review that simplifies approval, ensuring safe, user-approved modifications are written to disk only after explicit confirmation.

Workflow analysis identifies missing steps and unclear parameters by reading relevant SKILL.md definitions and summarizing execution history to detect gaps, failures, and manual interventions across multi-skill sessions.

Yes, guardrails are applied during skill optimization by proposing changes with explicit user confirmation before writing to disk, ensuring all modifications to skill definitions are safe and manually approved.

Yes, skill optimization works for sessions involving multiple invoked skills, analyzing usage patterns and outcomes across the entire session to identify gaps and propose relevant improvements to the definitions.

Providing session history is necessary because the optimization tool analyzes execution patterns, failures, and manual interventions from that history to accurately identify missing steps and propose updates to your skill definitions.