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Skill Quality Optimization Expert

Development Updated 2026.08.29

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md and install @user_6bedba2d/skillfaq.

About this skill

The Problem

Many SKILL.md files still lack a practical quality gate after drafting: section coverage, trigger clarity, directory structure, frontmatter completeness, and version consistency are often checked manually. @user_6bedba2d/skillfaq organizes those checks into a developer-facing static workflow for pre-release review and remediation.

How It Works

It follows a RED, GREEN, and REFACTOR loop:
- RED: reads the target Skill path, establishes the current documentation state, target score, and success criteria.
- GREEN: runs a TRACE evaluation across Trust, Reliability, Adaptability, Convention, and Effectiveness, then flags P0/P1/P2 issues.
- REFACTOR: proposes fixes, prioritizes release-blocking P0 problems, and verifies whether the score approaches target_score.

It also includes SkillHub compliance checks for frontmatter, required files, version consistency, and directory structure. Evaluation depth can range from minimal to deep, supporting quick scans or fuller review.

Boundaries

The skill performs static documentation analysis rather than runtime testing. It does not detect code logic errors or runtime behavior. Remote Git repositories, encrypted content, and non-standard structures should be prepared locally first. Scores depend on documentation completeness, so final release decisions should still include manual review.

Use Cases

  • Run a pre-release check on a local `SKILL.md` before submitting to SkillHub and locate P0 blockers.
  • Score a new Agent Skill against TRACE dimensions and add missing FAQ or anti-pattern sections.
  • Verify frontmatter, version fields, and directory structure to avoid rejection from missing required files.
  • Re-check an existing Skill's documentation completeness and trigger clarity using minimal, normal, or deep depth.

Best For

  • Developers publishing Agent Skill documentation: need to confirm sections, version fields, and directory structure before release.
  • Engineers maintaining multiple local Skills: need a quality score and P0/P1 issue list for each directory.
  • SkillHub workflow owners: need to verify frontmatter and required files to prevent submission rejection.
  • AI tool authors using TDD-style acceptance checks: need to apply RED, GREEN, and REFACTOR to Skill optimization.