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

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]