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tessl-labs/skill-review-optimizer

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

Overview
Skills
Evals
Files

STRATEGIES.mdreferences/

Common Optimization Strategies

Strategy 1: Fix Validation Warnings First

Validation warnings (metadata, output format, workflow steps) are quick fixes that often improve scores immediately:

  1. Add metadata dictionary if missing
  2. Add "Output Format" section specifying deliverables
  3. Add numbered workflow steps if missing
  4. Fix YAML frontmatter issues

Strategy 2: Enhance Description for 100% Score

Description score measures specificity, trigger quality, completeness, and distinctiveness:

Specificity

Add concrete actions (verbs + objects):

  • Instead of: "Process documents"
  • Better: "Extract text from PDFs, merge documents, rotate pages"

Trigger Terms

Include natural keywords users say:

  • Add: "dashboard", "web app", "interactive UI", ".pdf file"

Completeness

Add explicit "Use when..." clause:

  • Template: "Use when users want to X, Y, or Z"

Distinctiveness

Clarify scope boundaries:

  • Add: "Not for simple X" or "Specifically for Y"

Strategy 3: Improve Content Score

Content score measures conciseness, actionability, workflow clarity, and progressive disclosure:

Conciseness

Remove verbose explanations:

  • Delete: Explanations of basic concepts
  • Delete: Motivational language
  • Keep: Domain-specific information only

Actionability

Add executable examples:

  • Include: Copy-paste ready code
  • Include: Specific commands with placeholders
  • Include: Clear input/output specifications

Workflow Clarity

Add validation checkpoints:

  • After each major step: verify output exists
  • Include: "If X fails, do Y" guidance
  • Add: Expected outputs at each step

Progressive Disclosure

Move details to references:

  • Keep in SKILL.md: Essential workflow and core examples
  • Move to references/: Detailed patterns, advanced topics, long examples

Install with Tessl CLI

npx tessl i tessl-labs/skill-review-optimizer@0.1.1

references

SCORING_GUIDE.md

STRATEGIES.md

SKILL.md

tile.json