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Test and validate the skills repository using the skills system itself, practicing "eating your own dog food". This skill orchestrates other skills to validate that all skills work correctly, follow specifications, and provide value.
When to use me
Use this skill when:
You want to validate that the skills repository actually works with the skills CLI
You need to ensure all 60 skills follow Agent Skills specification
You want to run automated validation of skill quality
You need to demonstrate the power of the skills system by using it to test itself
You're preparing for a release and need comprehensive validation
You want to establish continuous dogfooding practices for the repository
What I do
Skill validation: Test skills using the skills CLI (npx skills add . --skill <name>)
Structure verification: Validate skill structure against Agent Skills specification
Script execution: Run skill scripts to ensure they work correctly
Dependency checking: Check skill dependencies and compatibility
Cross-referencing: Use existing skills to validate other skills (skill-builder validates structure, testing-ecosystem validates testing approach)
Report generation: Generate dogfooding reports showing which skills pass/fail self-testing
Continuous validation: Establish patterns for ongoing dogfooding practice
Related Skills for Comprehensive Dogfooding
This skill references and builds upon these existing skills rather than duplicating functionality:
Skill Creation & Validation
skill-builder: Build basic to intermediate Agent Skills using structured templates
hypercognitive-skill-compiler: Transform complex skill requirements into complete Agent Skills
best-practice-guide: Create best practice guides for skill development
Testing & Quality
testing-ecosystem: Understand complete testing ecosystem and relationships
test-coverage: Measure and report test coverage across all test types
test-gap-analysis: Analyze gaps between requirements/features that should be tested and actual test coverage
trust-but-verify: Verify system claims and test results through independent validation
gap-analysis: Identify discrepancies between documentation and implementation
spec-gap-analysis: Analyze gaps between specifications and actual implementation
Workflow Automation
workflow-orchestrator: Build AI-driven development workflows that iterate until success
index: Maintain directory organization with index files and consistency prompts