Parse online content into deterministic JSON with extracted entities.
npx skills add https://github.com/phatblat/dotfiles --skill parser
Please help me install this Agent Skill. Skill: Parser Source: https://github.com/phatblat/dotfiles/tree/main/.claude/skills/Parser Command: npx skills add https://github.com/phatblat/dotfiles --skill parser
This Skill automates the extraction of structured data from various online content types, eliminating the need for manual copy-pasting and data entry.
Use the parser skill to extract all text and entities from the URL 'https://example.com/article'.
High-intent search queries and answers about installing and using this skill.
To extract structured JSON data from web scraping, you can parse diverse online content types like articles into a deterministic JSON schema. This process automatically identifies and extracts entities like people, companies, links, and topics.
Yes, you can extract entities and transcripts from YouTube videos and PDFs. The parser handles these diverse content types, extracting metadata, summaries, and key entities into a structured JSON output.
The best way to parse multiple Twitter threads and newsletters in batch is using a universal content parser with batch processing support. It generates classifications and analysis while using collision detection for deduplication.
Yes, content analysis output conforms to a deterministic JSON schema validated using ajv and ajv-formats. This ensures structured data extraction from articles, videos, and PDFs remains consistent across batch processing.
To avoid duplicate entries when extracting people and companies, the parser uses collision detection for deduplication. This ensures batch processing of diverse content types yields a clean structured JSON dataset.
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