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Found 173 Skills
Audit load-bearing paper claims against evidence in results, tables, figures, experiments, or citations. Use for claim audits, overclaiming checks, first or state-of-the-art claims, significant-result wording, prose-table number mismatches, and camera-ready or rebuttal evidence checks.
Automate PDF API IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
Create GitHub Issue from spec documents — Auto-generate structured Feature Issues from specifications. Analyzes spec documents (requirement.md, design.md, tasks.md) in .specs/{feature}/ and generates a structured Feature Issue via gh issue create. Best used with specs created by spec-generator. English triggers: - "Create issue from spec", "Register spec as issue" - "Convert spec to GitHub issue", "Publish spec to issue" - After spec-generator: "Turn this into an issue" 日本語トリガー: - 「仕様書をIssueにして」「Issueに登録して」「specからIssue作成」 - 「仕様書からIssue生成」「specをIssueに変換」 - spec-generator完了後に「これをIssueにして」「Issueにして」
Extract text, tables, and images from PDFs. Use when: extracting data from reports; converting PDF tables to CSV; pulling images from presentations; processing research papers; batch converting PDFs to text
Converts an input document (.txt, .md, .pdf, .docx) into a structured RSVP token stream with ORP alignment and configurable WPM. Use when a user wants to speed-read a document, prepare a reading session, or generate a token stream for a speed-reading UI.
Word (.docx) manipulation via MCP server. Use for reading, creating, editing, formatting Word documents including tables, footnotes, comments, images, headers, styles, and PDF conversion.
Unstructured integration. Manage data, records, and automate workflows. Use when the user wants to interact with Unstructured data.
HTML 2 PDF integration. Manage Documents, Templates. Use when the user wants to interact with HTML 2 PDF data.
Convert Markdown files and strings into DOCX documents using @mohtasham/md-to-docx. Use when a user needs Markdown to Word conversion, CLI-based file conversion, options-driven styling/alignment/font family, TOC/page break handling, underline/strikethrough formatting, multi-section documents with per-section headers/footers, or programmatic conversion in Node/browser code.
10 document processing skills. Trigger: extracting text from PDFs, parsing references, document Q&A. Design: parsing pipelines (GROBID, marker) and structured extraction tools.
Extract structured FF&E specs from PDF price books, fact sheets, or spec sheets into a schedule. Use for product PDFs; not web URLs or EPDs.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.