Skill Debugging Assistant

Diagnostic framework for troubleshooting skill issues including trigger failures, false positives, unexpected behavior, and validation errors.

Skill Debugging Assistant

A comprehensive diagnostic framework for troubleshooting skill issues by systematically analyzing triggers, parameters, prompts, and structural problems.

This skill is essential for skill developers who need to diagnose why skills aren't triggering correctly, producing unexpected behavior, or failing validation.

Skill Structure

The repository provides complete diagnostic tools and reference materials:

Main Files:

  • SKILL.md - Core diagnostic framework and decision trees

Resource Directories:

  • references/ - Detailed troubleshooting guides and templates
  • scripts/ - Automated validation and checking tools

Core Purpose

The Skill Debugging Assistant helps diagnose and fix four main categories of skill issues:

  1. Skills failing to activate when expected
  2. Incorrect or false-positive triggers firing at wrong times
  3. Unexpected behavior despite proper triggering
  4. Validation and packaging errors preventing deployment

Diagnostic Approach

Decision Tree Workflow

The framework uses a systematic decision tree starting with problem identification, then moves through specialized diagnostics:

  1. Problem Identification - Categorize the specific issue type
  2. Trigger Failure Analysis - Examine description quality and specificity
  3. False Positive Diagnostics - Review over-broad or ambiguous descriptions
  4. Instruction Conflict Detection - Find contradictory statements
  5. Structure Validation - Run automated checks and manual reviews

Description Analysis

A key focus is improving skill descriptions to compete effectively among 100+ available skills:

Critical Description Elements:

  • Specific trigger terms - File types, task names, domains
  • Use-case scenarios - When and how to use the skill
  • Differentiating details - What makes this skill unique

Common Description Problems

  • Missing concrete trigger indicators
  • Overly broad or generic language
  • Lack of differentiation from similar skills
  • Buried critical information in references instead of main description

Key Recommendations

Trigger Optimization

Add Concrete Indicators:

  • File types (.tsx, .py, .md)
  • Task names ("code review", "data analysis")
  • Domain terms ("authentication", "deployment")

Replace Absolute Statements:

  • Change "always/never" to conditional phrasing
  • Use "typically", "when", "if" for nuanced triggers

Structure Guidelines

Keep SKILL.md Focused:

  • Under 500 lines for optimal performance
  • Move detailed content to references/ directory
  • Ensure critical instructions stay in SKILL.md
  • Don't bury essential information in external files

Validation Tools

The repository includes:

  • Python validation scripts for automated checking
  • YAML formatting validators
  • Naming convention checkers
  • Structural requirement analyzers

These tools catch common errors before they cause runtime issues.

Systematic Troubleshooting

The framework provides:

  • Quality checklists for pre-deployment review
  • Deep-analysis templates for complex issues
  • Before/after examples showing effective fixes
  • Common pitfall catalog with solutions

Problem Categories Deep Dive

1. Trigger Failures

When skills don't activate:

  • Description too generic or vague
  • Missing key terminology users would employ
  • Insufficient differentiation from other skills
  • Trigger words not matching user intent

2. False Positives

When skills fire incorrectly:

  • Over-broad descriptions
  • Ambiguous trigger conditions
  • Lack of exclusion criteria
  • Poor scoping of responsibilities

3. Behavior Issues

When triggered skills behave unexpectedly:

  • Conflicting instructions within SKILL.md
  • Contradictory guidance in references
  • Unclear precedence rules
  • Missing edge case handling

4. Validation Errors

Packaging and deployment problems:

  • YAML frontmatter syntax errors
  • Invalid naming conventions
  • Missing required fields
  • Structural requirement violations

Repository Resources

The repository includes complete diagnostic guides, validation scripts, troubleshooting templates, and fix examples for all common skill issues.

Visit the Skill Debugging Assistant repository for the full framework and automated tools.

About This Skill

This skill was created by Nate Jones as part of his comprehensive Nate's Substack Skills collection. Learn more about Nate's work at Nate's Newsletter.

Explore the full collection to discover all 10+ skills designed to enhance your Claude workflows!


Diagnostic framework for troubleshooting skill issues including trigger failures, false positives, unexpected behavior, and validation errors.