superlinked
- 5 skills
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- 7 hours ago last updated
- ▌ Superlinked Docs · superlinked bundleOffload document, image, and structured-output work to the Superlinked inference cluster: convert PDF/DOCX/PPTX/XLSX/HTML/scans to clean markdown, describe an image (caption + tags), or produce schema/grammar-constrained JSON off the cluster — instead of ingesting the file directly, which can reduce the tokens billed in many cases for document- and image-heavy work. Use whenever the user drops or references a document or image file to read, summarize, extract from, describe, or answer questions over, or when they need reliable structured (schema-valid) output.
- ▌ Redact Pii · superlinkedRedact personal data from a document through the connected Superlinked MCP edge before working with the content. Use when the user asks to redact, anonymize, scrub, de-identify, or remove PII/sensitive data from a document.
- ▌ Parse Document · superlinkedConvert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.
- ▌ Extract Entities · superlinkedExtract people, organizations, dates, amounts, or custom labels from a document through the connected Superlinked MCP edge, returning a compact table instead of reading the full document into context. Use when the user asks to list, extract, or tabulate entities from a file.
- ▌ Summarize Document · superlinkedSummarize a long PDF, scan, office file, text file, or markdown file through the connected Superlinked MCP edge instead of reading the whole source into model context. Use when the user asks for a summary, overview, digest, or "what does this document say" about a large file.