Guides creation, validation, and packaging of AI agent skills with token-efficient design, progressive disclosure patterns, and YAML frontmatter best practices. Use when building new skills, updating existing skills, validating skill structure against standards, or packaging for distribution—e.g., "create skill", "validate SKILL.md", "package skill for sharing", "check description format".
93
92%
Does it follow best practices?
Impact
93%
1.75xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description that excels across all dimensions. It provides specific capabilities (creation, validation, packaging), includes design methodology details (token-efficient, progressive disclosure), and offers explicit trigger guidance with natural example phrases. The focus on 'AI agent skills' and 'SKILL.md' creates a distinct niche that minimizes conflict risk with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'creation, validation, and packaging of AI agent skills' along with specific techniques like 'token-efficient design, progressive disclosure patterns, and YAML frontmatter best practices'. | 3 / 3 |
Completeness | Clearly answers both what (guides creation, validation, packaging with specific design patterns) AND when with explicit 'Use when...' clause listing four scenarios plus concrete example phrases. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'create skill', 'validate SKILL.md', 'package skill for sharing', 'check description format', 'building new skills', 'updating existing skills'. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche focused specifically on AI agent skills and SKILL.md files with distinct triggers like 'SKILL.md', 'skill structure', 'packaging for distribution' that are unlikely to conflict with general coding or documentation skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with excellent progressive disclosure and actionability. The workflow is clear with proper validation checkpoints, and references are well-organized with clear loading guidance. Minor verbosity in explaining concepts (like the persuasion principles table) could be trimmed, but overall this serves as an effective meta-skill for creating other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some content Claude likely knows (e.g., explaining what scripts/references/assets are). The persuasion principles section is detailed but arguably necessary for this specialized guidance. Some sections could be tightened. | 2 / 3 |
Actionability | Provides concrete, executable commands (init_skill.py, package_skill.py, quick_validate.py), clear file structure templates, and specific YAML frontmatter examples. The workflow steps are copy-paste ready with actual script paths. | 3 / 3 |
Workflow Clarity | Clear 6-step numbered workflow (Understand → Plan → Initialize → Edit → Package → Iterate) with explicit validation step (step 5 runs validation checks). Includes feedback loop in step 6 for iteration. Script execution guidance is explicit. | 3 / 3 |
Progressive Disclosure | Excellent structure with concise SKILL.md overview and six clearly-signaled one-level-deep references, each with explicit guidance on when to load them. Content appropriately split between main file and reference documents. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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Table of Contents
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