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.opencode/skills/ai-artist/references/domain-data.md

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+# Data & Analysis Patterns
+
+## Structured Extraction
+```
+Extract from text:
+<text>[content]</text>
+
+Return JSON:
+{
+  "field1": "value or null",
+  "field2": ["array"]
+}
+
+Rules:
+- Exact matches only
+- Confidence score if uncertain
+- null for missing
+```
+
+## Document Analysis
+```
+Analyze [document type]:
+1. Summary (2-3 sentences)
+2. Key entities (people, orgs, dates)
+3. Main topics (ranked)
+4. Sentiment: positive/neutral/negative
+5. Action items
+```
+
+## Comparison
+```
+Compare [A] and [B]:
+| Criterion | A | B |
+|-----------|---|---|
+| [Factor 1] | | |
+| [Factor 2] | | |
+
+Recommendation: [choice] for [use case]
+```
+
+## Problem Solving
+```
+Problem: [description]
+
+Analyze:
+1. Root cause (5 whys)
+2. Contributing factors
+3. Options (pros/cons)
+4. Recommendation
+5. Implementation steps
+6. Risk mitigation
+```
+
+## Data Transformation
+```
+Transform data:
+- Input format: [CSV/JSON/etc]
+- Output format: [target]
+- Rules: [mapping logic]
+- Validation: [constraints]
+
+Handle: missing values, type mismatches.
+```
+
+## Summarization
+```
+Summarize [content]:
+- Length: [sentences/words]
+- Focus: [key themes]
+- Audience: [technical/general]
+- Preserve: [critical details]
+```