Extract specific information from unstructured/semi-structured data with completeness and accuracy.
Extracts specific data patterns (emails, URLs, dates, IPs, key-values) from unstructured text with validation and normalization. Triggered when you need to parse unstructured data into structured formats like JSON, CSV, or tables.
/plugin marketplace add jtsylve/claude-experiments/plugin install meta-prompt@claude-experimentsThis skill inherits all available tools. When active, it can use any tool Claude has access to.
Extract specific information from unstructured/semi-structured data with completeness and accuracy.
| Type | Pattern | Validation |
|---|---|---|
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 |
JSON: {"results": [...], "summary": {"total": N, "unique": N}}
CSV: Headers + rows
Markdown: Table with headers
Plain: Bullet list
[Extracted data]
## Summary
- Total: X
- Unique: Y
- Issues: Z
## Notes
- Line 42: Partial match "user@" (missing domain)
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