Automate iterative skill improvement using tessl skill review. Use when optimizing skills, improving skill quality scores, iterating on skill design based on tessl feedback, or systematically enhancing skill descriptions and content. Runs tessl reviews, parses scores and suggestions, identifies missing metadata fields, rewrites descriptions with concrete actions, restructures content sections, adjusts frontmatter fields, and guides incremental refinement until target scores are achieved.
Overall
score
100%
Does it follow best practices?
Validation for skill structure
Validation warnings (metadata, output format, workflow steps) are quick fixes that often improve scores immediately:
Description score measures specificity, trigger quality, completeness, and distinctiveness:
Add concrete actions (verbs + objects):
Include natural keywords users say:
Add explicit "Use when..." clause:
Clarify scope boundaries:
Content score measures conciseness, actionability, workflow clarity, and progressive disclosure:
Remove verbose explanations:
Add executable examples:
Add validation checkpoints:
Move details to references:
Install with Tessl CLI
npx tessl i tessl-labs/skill-review-optimizer