| name | review-analysis |
| description | Extract, normalize, and analyze guest review comments for rental listings. Use when implementing or extending review normalizers, review prompts, incident extraction, risk summarization, or provider-specific review handling for Airbnb, Booking, or generic fallback. |
Review Analysis
Normalize provider-specific review payloads into a single review corpus before any AI analysis.
Use this skill to keep review analysis evidence-first and incident-oriented.
Workflow
- Normalize raw provider reviews into one
ReviewCorpus.
- Preserve comment text, dates, ratings, language, host response, and provider ids when available.
- Analyze comments for concrete incidents, not sentiment alone.
- Prioritize negative signals, disputes, unusual situations, and repeated complaints.
- Return structured JSON only.
Priority Categories
Read references/categories.md before changing the taxonomy.
Always pay special attention to:
- pests
- damage
- missing essentials
- mold, dampness, smells
- temperature problems
- cleanliness
- safety
- host conflict
- listing mismatch
- noise
- check-in and access
- window view
Output Contract
Read references/output-schema.md before changing prompt or parsing logic.
Rules:
- attach supporting evidence to serious claims
- include incident dates when comments provide them
- mark mixed or weak evidence conservatively
- prefer
confidence=low over overclaiming
