Lists multiple specific concrete actions: analyzes AI Visibility source data, reverse-engineers what makes top-cited pages authoritative, produces a superior source asset, and pushes it to CMS as a draft. Also specifies concrete output types like definition page, benchmark, methodology, glossary, comparison hub.

Clearly answers both 'what' (analyzes AI Visibility source data, reverse-engineers authority factors, produces superior source assets, pushes to CMS) and 'when' (explicit 'Use this skill whenever...' clause with detailed trigger scenarios and a final 'Trigger on any mention of...' list).

Excellent coverage of natural trigger terms including quoted user phrases ('what sources are AI models citing', 'why is [third-party site] being cited instead of us', 'we want to be the definitive source on X') and explicit trigger keywords ('sources', 'third-party citations', 'authoritative content', 'definitional pages', 'outrank'). These are terms users would naturally say.

Highly distinctive niche — focuses specifically on competitive source citation analysis for AI visibility and creating content to outrank third-party cited sources. The combination of AI citation analysis, authority reverse-engineering, and CMS publishing is unlikely to conflict with other skills.

The skill is fairly long (~300+ lines) and includes some sections that explain concepts Claude already knows (e.g., the 'What makes a source authoritative to AI models' section at the end is largely general knowledge). The CMS mapping tables and asset type templates are useful but could be tighter. Some editorial commentary ('Not a skeleton — complete, publish-ready content') adds unnecessary tokens.

The skill provides specific API calls (e.g., `get_ai_visibility_sources`, `list_ai_visibility_org_brands`), concrete CMS tool patterns with exact function names, detailed asset templates with specific structural guidance (H1/H2 counts, word counts per section, meta field character limits), and clear output formats. The guidance is highly executable.

The 6-step workflow (Steps 0-5) is clearly sequenced with logical dependencies. Step 0 handles CMS discovery before analysis begins, preventing dead ends. Each step has clear inputs and outputs, there are explicit checkpoints (asking user to pick an asset in Step 3, confirming CMS push in Step 5), and the workflow includes a fallback (Markdown output even when CMS push succeeds).

The content is entirely monolithic — everything lives in one long file with no references to supporting documents. The asset type templates (Definitive Guide, Benchmark Report, Comparison Hub) could each be separate reference files. There's a reference to 'prompt-gap-to-publish' guidance but no other external file structure. For a skill this long, splitting would improve navigability.