app-store-optimization

I've been looking at how skills handle niche domains like ASO, and your approach to structuring this caught my attention—there's real potential here, but the execution needs some tightening to match the scope you're targeting.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

TL;DR

You're at 72/100, solid C-grade territory. This is based on Anthropic's skill architecture rubric (PDA, spec compliance, utility, etc.). Your strongest area is Utility (15/20)—the ASO problem-solving is genuinely useful. Weakest spot: Progressive Disclosure Architecture (18/30)—your 404-line monolithic file defeats the whole "progressive" concept.

What's Working Well

• Solid domain coverage: You're hitting real ASO needs (keyword research, competitor analysis, tracking). The utility pillar reflects that.
• Clear triggers in description: Terms like "app store optimization", "research keywords", "analyze competitors" make this discoverable.
• Good JSON schemas: Your Input Formats section has concrete structure for what Claude needs—that's chef's kiss for clarity.
• Bonus points earned: You got +4 on modifiers for grep-friendly structure and explicit scope boundaries. That's not nothing.

The Big One: Kill the Monolith

Your 404-line SKILL.md is the anchor dragging your score down. Right now everything's crammed inline—capabilities, scripts, best practices, platform specs, examples. This kills your PDA score (18 instead of 26+).

Here's the fix: Split into 4 reference files:

• references/scripts.md – All the actual optimization scripts
• references/best-practices.md – Platform-specific guidance (App Store, Google Play)
• references/examples.md – Concrete input/output examples
• references/platform-specs.md – Metadata limits, keywords, ratings

Keep SKILL.md under 100 lines with just the overview and pointers. This alone gets you +8 points and fixes your PDA bottleneck.

Other Things Worth Fixing

1. Add a Table of Contents – Files over 100 lines need one. Add after frontmatter with links to main sections. (+3 points)

2. Trigger phrases in description – You've got good trigger terms buried in the skill, but the frontmatter description doesn't state them explicitly. Change from vague marketing speak ("comprehensive toolkit") to: "Use when asked to 'app store optimization', 'optimize app store listing', 'analyze app keywords'" (+2 points)

3. Replace conversational examples with workflows – Your "How to Use" section shows chat-style prompts ("Hey Claude—I just added..."). Replace with numbered steps: 1) Provide app details 2) Run analyze_keyword() 3) Review recommendations 4) Apply to metadata (+3 points)

4. Add output examples – You describe output formats but show no actual JSON output. Add concrete examples like: {"keyword": "task manager", "volume": "high", "competition": "medium", "relevance": 0.85} (+2 points)

Quick Wins (Actionable Items)

• Priority 1: Refactor into 5 files (1 main + 4 references) → +8 points
• Priority 2: Add TOC + explicit trigger phrases → +5 points
• Priority 3: Replace conversational examples with step-by-step workflows → +3 points
• Priority 4: Add concrete JSON output examples → +2 points

These four moves get you to ~90, B-grade territory. The architecture fix is the heavyweight—everything else builds on that foundation.

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