Content
0%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is an extensive but hollow document that reads like a marketing brochure or product requirements document rather than actionable instructions for Claude. It describes what ASO is and lists many categories of work without providing any concrete implementation, executable code, or clear workflows. The referenced scripts don't exist in the bundle, and the massive length wastes context window on information Claude already knows.
Suggestions
Replace the 'Scripts' section with actual executable code or remove it entirely—listing function signatures for non-existent files provides no value.
Cut the content by 70-80%: remove the Capabilities overview, general best practices Claude already knows, and the Limitations section. Focus on platform-specific constraints (character limits) and concrete optimization workflows.
Add concrete step-by-step workflows with validation checkpoints, e.g., 'Step 1: Analyze current metadata → Step 2: Research keywords using [specific method] → Step 3: Generate optimized metadata → Step 4: Validate character limits → Step 5: Output before/after comparison.'
Provide actual executable code for at least the core functions (keyword density calculation, character limit validation, metadata generation) rather than just describing what scripts would do.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Extensively lists capabilities, best practices, and limitations that Claude already knows (e.g., general ASO best practices, what localization means, how A/B testing works). The 'Scripts' section describes functions that don't exist in the bundle. Massive amounts of padding with no token efficiency. | 1 / 3 |
Actionability | Despite its length, the skill provides no executable code, no concrete algorithms, and no actual implementation. The 'Scripts' section lists function signatures for files that don't exist. The 'How to Use' section just shows example prompts. Input/output JSON schemas describe structures but provide no processing logic. Everything is descriptive rather than instructive. | 1 / 3 |
Workflow Clarity | No clear multi-step workflows are defined. The skill lists categories of things to do but never sequences them into actionable processes with validation checkpoints. The 'How to Use' section is just example prompts, not workflows. There are no feedback loops or error recovery steps for any operation. | 1 / 3 |
Progressive Disclosure | Monolithic wall of text with no bundle files to support it. References scripts (keyword_analyzer.py, metadata_optimizer.py, etc.) that don't exist in the bundle. No external files are referenced for detailed content. Everything is dumped into a single massive file with no meaningful content hierarchy or navigation to supporting materials. | 1 / 3 |
Total | 4 / 12 Passed |