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skills/data-extraction/SKILL.md

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+# Data Extraction
+
+Extract specific information from unstructured/semi-structured data with completeness and accuracy.
+
+## Common Patterns
+
+| Type | Pattern | Validation |
+|------|---------|------------|
+| Email | `user@domain.ext` | Has `@` and `.` after @ |
+| URL | `http(s)://domain...` | Valid protocol and domain |
+| Date | ISO, US, EU, timestamp | Valid ranges (month 1-12) |
+| Phone | Various formats | 7-15 digits |
+| IP | IPv4: `x.x.x.x`, IPv6 | Octets 0-255 |
+| Key-Value | `key=value`, `key: value` | Handle quoted/nested |
+
+## Process
+
+1. **Analyze:** Format, delimiters, variations, headers to skip
+2. **Extract:** Match all instances, capture context, handle partial matches
+3. **Clean:** Trim, normalize (dates to ISO, phones to digits), validate
+4. **Format:** Consistent fields, proper escaping, sort/dedupe if needed
+
+## Output Formats
+
+**JSON:** `{"results": [...], "summary": {"total": N, "unique": N}}`
+
+**CSV:** Headers + rows
+
+**Markdown:** Table with headers
+
+**Plain:** Bullet list
+
+## Principles
+
+- **Complete:** Extract ALL matches, don't stop early
+- **Accurate:** Preserve exact values, maintain case
+- **Handle edge cases:** Missing → null, malformed → flag, duplicates → note
+
+## Output Structure
+
+```
+[Extracted data]
+
+## Summary
+- Total: X
+- Unique: Y
+- Issues: Z
+
+## Notes
+- Line 42: Partial match "user@" (missing domain)
+```