Classify Review

Skill: classify-review

Deep-dive analysis of a single review. Useful for spot-checking, edge cases, or understanding how the classifier handles ambiguous reviews.

Usage

/classify-review

After running the command, paste the review text (or provide rating + text). Claude will prompt if not given.

Optionally provide: /classify-review rating=2 "The product was lovely but delivery was terrible"

Steps

Step 1: Accept input

If the user hasn't provided a review, ask:

Paste the review text (include the star rating if you have it):

Parse:

• rating: integer 1–5 (if not provided, ask or infer from language)
• text: the review body
• date: optional (default to today if not provided — affects recency in priority score)

Step 2: Classify

Apply .claude/rules/analysis-standards.md and .claude/rules/theme-taxonomy.md.

Sentiment analysis:

• Label + confidence + 1–3 drivers
• Explain the reasoning briefly (1–2 sentences)

Theme classification:

• 1–3 themes (primary first)
• For each theme: quote the specific phrase that justified inclusion

Priority score:

• Calculate using the formula from .claude/rules/analysis-standards.md
• Show the working: (6 - rating) × weight × confidence × recency = score

Step 3: Output analysis card

REVIEW ANALYSIS
───────────────────────────────────────
Rating:    ★N
Text:      "[full review text]"

SENTIMENT: POSITIVE/NEUTRAL/NEGATIVE (confidence: 0.X)
  Drivers: driver1, driver2

THEMES
  Primary:   theme_slug — "[quoted evidence]"
  Secondary: theme_slug — "[quoted evidence]"

PRIORITY SCORE: N.N / 12.0
  Working: (6 - N) × N.N × N.N × N.N = N.N
  Threshold: [HIGH PRIORITY ≥ 6.0 | below threshold]

PM NOTE
  [One sentence: what a PM should do with this review, if anything]
───────────────────────────────────────

Step 4: Offer follow-up

Run /analyze-reviews to process all reviews. Run /classify-review again to analyse another.