Names the domain (Google Gemini File Search, managed RAG) and some actions (document Q&A, knowledge bases), but doesn't list multiple concrete actions like 'upload files, query documents, create corpora, manage chunks'. The mention of error types (immutability errors, quota issues, polling failures) adds some specificity but these are troubleshooting scenarios rather than core capabilities.

Clearly answers both what ('Google Gemini File Search for managed RAG with 100+ file formats') and when ('Use for document Q&A, knowledge bases, or encountering immutability errors, quota issues, polling failures'). The 'Use for' clause serves as an explicit trigger guidance.

Good coverage of natural terms: 'Google Gemini', 'File Search', 'RAG', 'document Q&A', 'knowledge bases', 'Gemini 3 Pro/Flash', 'Gemini 2.5', plus specific error terms users would encounter like 'immutability errors', 'quota issues', 'polling failures'. These are terms users would naturally use when seeking help with this specific tool.

Highly distinctive with 'Google Gemini File Search' as a clear niche. The specific platform (Gemini), feature (File Search/RAG), model versions (Gemini 3 Pro/Flash, Gemini 2.5), and error types make it very unlikely to conflict with other skills like generic document processing or other LLM API skills.

Significant redundancy throughout: the document update pattern appears three times (Critical Rules, Error 1, Pattern 3), the 3x storage multiplier is mentioned 5+ times, model compatibility is repeated across multiple sections, and the 'When to Load References' section restates what's already clear from inline references. The 'Always Do' and 'Never Do' lists are near-mirrors of each other. Pricing, chunking, and format lists add bulk that Claude doesn't need explained. The skill is ~300 lines when it could be ~120.

Provides fully executable TypeScript code examples throughout — store creation, file upload, polling, querying, citations, batch upload, delete+re-upload pattern. Code is copy-paste ready with real API calls, specific model names, and concrete configuration values.

The Quick Start has a clear sequence (create store → upload → poll → query → citations), and Pattern 3 shows a numbered update flow. However, polling loops lack timeout/max-retry logic, there's no explicit validation that uploads succeeded beyond checking `done`, and no error handling or feedback loops for when operations fail. For a skill involving async operations and potential quota issues, missing error recovery caps this at 2.

Clear overview in the main file with well-signaled one-level-deep references to `references/setup-guide.md` and `references/error-catalog.md`. Each reference is mentioned with specific context about when to load it. The 'When to Load References' section provides clear navigation guidance.