Skill Debugging Assistant

About

The Skill Debugging Assistant provides a systematic framework for developers to troubleshoot and optimize their custom skills for Claude. It addresses common pain points such as skills failing to activate when expected, incorrect triggering (false positives), and conflicting instructions that lead to unexpected model behavior. By analyzing YAML frontmatter, description quality, and progressive disclosure patterns, it helps creators ensure their skills are discoverable, reliable, and compliant with technical standards like token budgets and naming conventions.

Key Features

• Trigger failure diagnostics to improve skill selection accuracy
• Token budget optimization through progressive disclosure management
• 6 GitHub stars
• Instruction conflict resolution to eliminate contradictory behavior
• False positive analysis to prevent incorrect skill activation
• Automated structural validation against packaging and naming standards

Use Cases

• Fixing validation errors encountered during the skill packaging process
• Troubleshooting why a specific skill isn't activating during a task
• Auditing a skill library for consistency and naming convention compliance