skill-booster

Validate and package a skill into an install-ready skill.zip.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/ginmp8/rhapsodia --skill skill-booster
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-booster
Source: https://github.com/ginmp8/rhapsodia/tree/main/skills/skill-booster
Command: npx skills add https://github.com/ginmp8/rhapsodia --skill skill-booster

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill Booster provides a structured, end-to-end workflow to optimize an existing skill package, anchored in validation, evidence collection, and gated changes, culminating in a packaged artifact.

Core Features & Use Cases

  • Baseline, freeze, and evidence-backed evaluation to identify improvement opportunities.
  • Guided specialist-pass workflow and reconciliation to ensure acceptance criteria are met before packaging.
  • Packaging and artifact validation to deliver a ready-to-use skill.zip outside the target folder.

Quick Start

Provide a target skill folder and run the Booster workflow to produce a validated skill.zip.

Frequently Asked Questions about skill-booster

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate YAML frontmatter and package a skill into a zip file?

Skill optimization benchmarks an existing skill package against evidence-backed gates, freezing a baseline to identify improvement opportunities before applying hardening and packaging workflows.

How do I harden an existing skill package end-to-end?

Yes, you can use the packaging workflow to validate a single root SKILL.md and generate an install-ready artifact, provided the target skill folder passes YAML frontmatter validation and evidence gates.

Do I need pyyaml to run skill validation and packaging workflows?

During skill packaging, the workflow performs artifact validation and reconciliation to ensure acceptance criteria are met, outputting the final skill.zip outside the target folder for installation readiness.

What is the best way to audit and benchmark an existing skill before packaging?

Use the optimization workflow to baseline and freeze a target skill, running evidence-backed evaluation to identify improvement opportunities before applying hardening changes and final packaging.

When should I not use an automated skill optimization workflow?

Avoid skill optimization workflows if your target folder lacks a single root SKILL.md or fails YAML frontmatter validation, as the gated workflow requires these baseline structures to proceed successfully.