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fix(skill): SKILL.md compliance with agent skill schema best practices#152

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jeremylongshore:fix/skill-schema-compliance
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fix(skill): SKILL.md compliance with agent skill schema best practices#152
jeremylongshore wants to merge 1 commit intonextlevelbuilder:mainfrom
jeremylongshore:fix/skill-schema-compliance

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@jeremylongshore
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Hey! Really cool skill — the searchable design system generator with reasoning-based recommendations is genuinely useful. I run claudecodeplugins.io (270+ plugins, 1500+ skills) and noticed a few schema issues that would prevent this skill from triggering reliably and installing portably. This PR fixes them.

Everything below explains why each change matters, not just what changed.


What Changed

1. Added missing frontmatter fields

Before: Only name and description in the YAML frontmatter.

After: Added allowed-tools, version, author, license.

Why this matters: Without allowed-tools, the agent literally doesn't know what tools it's allowed to use when this skill activates. It has to guess — and often guesses wrong (e.g., tries to use Bash but gets blocked). The version field lets package managers and marketplaces track updates. These are required fields in the skill schema spec.

2. Rewrote the description to be action-oriented

Before: A ~600-character comma-separated keyword list:

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings... Actions: plan, build, create, design... Projects: website, landing page... Elements: button, modal, navbar..."

After: Clear activation signals:

"Use when the user asks to design, build, review, or improve UI components, pages, or layouts. Trigger with phrases like 'design a landing page', 'choose a color palette'..."

Why this matters: The agent uses the description field to decide when to activate the skill. It's pattern-matching on intent, not doing keyword search. A wall of comma-separated terms gives it no clear signal — it either activates on everything vaguely UI-related (false positives) or nothing (because the signal is too noisy). Action-oriented "Use when..." phrases tell the agent exactly when to fire. This is a documented anti-pattern in the skill best practices.

3. Restructured body with canonical sections

Before: Custom sections like "When to Apply", "Rule Categories by Priority", "Quick Reference", "How to Use This Skill", etc. — good content, but the agent doesn't know what to do with non-standard headings.

After: The 7 canonical sections the agent expects:

## Overview          ← What this skill does (1-2 sentences)
## Prerequisites     ← What needs to be installed before running
## Instructions      ← Numbered steps the agent follows in order
## Output            ← What the agent produces when done
## Error Handling    ← What to do when things go wrong
## Examples          ← Concrete invocations the agent can pattern-match
## Resources         ← Where to find more (files, docs, URLs)

Why this matters: The agent processes skills like a recipe. Numbered ## Instructions tell it what to do in what order. ## Error Handling prevents it from getting stuck when Python isn't installed or a search returns nothing. ## Output tells it what "done" looks like. Without these, the agent has to improvise — and it usually improvises poorly. The canonical sections are part of the skill schema spec that all marketplace skills follow.

4. Fixed script paths to use {baseDir}

Before: python3 skills/ui-ux-pro-max/scripts/search.py

After: python3 {baseDir}/scripts/search.py

Why this matters: {baseDir} is a runtime variable that resolves to wherever the skill is actually installed. Hardcoded relative paths only work if the user clones the repo to a specific location. Anyone installing via a plugin manager, marketplace, or different directory structure gets broken paths. This is the standard portability mechanism — every marketplace skill uses it.

5. Progressive disclosure (387 → 90 lines)

Before: 387 lines with inline reference tables (accessibility rules, icon guidelines, light/dark mode contrast values, pre-delivery checklist, full search domain reference, etc.)

After: 90 lines focused on the core workflow. The detailed reference content lives where it belongs — in your excellent CSV databases that the search tool already indexes.

Why this matters: Skills use a three-tier loading system:

  1. Metadata loads first (~100 tokens) — just name + description for activation decisions
  2. SKILL.md body loads when triggered — the actual instructions
  3. Referenced files load on demand — {baseDir}/data/*.csv, {baseDir}/references/*

Embedding everything in the SKILL.md body means ~14K chars load every time the skill triggers, even if the user just wants a color palette. The total skill budget is ~15K chars — a bloated SKILL.md leaves no room for other skills to coexist. Your search tool already indexes all that reference content, so there's no reason to duplicate it inline.

Validator score

Before After
Score 48/100 (F) 94/100 (A)
Errors 4 0
Lines 387 90
Token footprint ~14K chars ~3.5K chars

The Canonical Skill Schema (for reference)

Here's the full scaffold that marketplace-compliant skills follow. Your skill now matches this structure:

---
name: skill-name
description: |
  One-paragraph description of what the skill does.
  Use when <activation condition>. Use when <another condition>.
  Trigger with phrases like "<phrase 1>", "<phrase 2>".
allowed-tools: Read, Write, Edit, Bash(scoped:*), Glob, Grep
version: 1.0.0
author: Name <email>
license: MIT
---

# Skill Title

One-sentence purpose statement.

## Overview

2-3 sentences: what the skill provides, how it works at a high level,
and any key architectural notes (e.g., "{baseDir} for portability").

## Prerequisites

- Bullet list of runtime dependencies
- Tools, languages, or services that must be available

## Instructions

1. First step the agent should take.
2. Second step, with code blocks if needed:
   ```bash
   python3 {baseDir}/scripts/tool.py --flag
  1. Continue with numbered steps through the full workflow.
  2. Final step (e.g., run a checklist, deliver output).

Output

  • Bullet list of what the agent produces when the skill completes
  • File artifacts, terminal output, or structured data

Error Handling

  • If , do .
  • If , suggest .

Examples

Example 1: Short description

command --with "concrete arguments"

Example 2: Another scenario

command --different "arguments"

Resources


---

## No functionality removed

All your skill's capabilities are preserved — the design system generator, domain searches, stack guidelines, persist/page-override system. The content that was removed from the SKILL.md body (UX rule tables, pre-delivery checklist, icon guidelines) is already indexed by your search tool via the CSV databases. It just doesn't need to be duplicated inline.

---

Awesome skill, seriously. The reasoning-based design system generation is a great idea. This PR just aligns it with the schema spec so it triggers correctly, installs anywhere, and plays nicely with other skills.

— Jeremy ([claudecodeplugins.io](https://claudecodeplugins.io))

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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