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guydemo/skill-review-optimizer

Iteratively review and optimize Tessl skills using `tessl skill review` — validates frontmatter, checks description specificity and trigger terms, evaluates content conciseness, actionability, and workflow clarity, then applies automated optimizations and re-reviews until quality targets are met. Use when the user wants to evaluate, improve, or optimize skills in their project — e.g. "review my skills", "optimize my skills", "improve skill quality", "run tessl review", or "make my skills better". Also use when the user wants to demonstrate the value of Tessl skill review.

100

Quality

100%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Overview
Skills
Evals
Files

output-format.mdreferences/

Output Format Reference

Baseline Summary Table

Baseline Review Results
=======================
Skill                          Score
─────────────────────────────  ─────
running-dbt-commands           72%
troubleshooting-dbt-job-errors 65%

Final Results

Skill Optimization Results
══════════════════════════

Skill: <skill-name>
  Baseline:  <score>%
  Round 1:   <score>%
  Round 2:   <score>% (if applicable)
  Final:     <score>%  (<+/- change>)
  Status:    Optimized | No improvement | Already optimal

  Changes made:
    Round 1: <what changed and why, e.g. "Description rewritten to lead with
             concrete actions; added metadata.version — improved specificity 2→3">
    Round 2: (if applicable) <summary>

Overall Summary
───────────────
Skills reviewed:     <N>
Skills improved:     <N>
Average baseline:    <score>%
Average final:       <score>%
Average improvement: +<score>%

Close with a brief qualitative summary: which skills improved most and why, any already high-quality, and any where optimization didn't help with possible reasons.

Install with Tessl CLI

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

references

output-format.md

SKILL.md

tile.json