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Found 173 Skills
Text proofreading for Markdown documents. Detects stylistic issues based on guidelines and presents revision suggestions. Used when users make requests such as "proofread the text", "fix the writing style", or "proofread the document".
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.
Download PDFs (when available) and extract plain text to support full-text evidence, writing `papers/fulltext_index.jsonl` and `papers/fulltext/*.txt`. **Trigger**: PDF download, fulltext, extract text, papers/pdfs, 全文抽取, 下载PDF. **Use when**: `queries.md` 设置 `evidence_mode: fulltext`（或你明确需要全文证据）并希望为 paper notes/claims 提供更强 evidence。 **Skip if**: `evidence_mode: abstract`（默认）；或你不希望进行下载/抽取（成本/权限/时间）。 **Network**: fulltext 下载通常需要网络（除非你手工提供 PDF 缓存在 `papers/pdfs/`）。 **Guardrail**: 缓存下载到 `papers/pdfs/`；默认不覆盖已有抽取文本（除非显式要求重抽）。
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.
Edit existing PowerPoint files or templates with XML-safe workflows. Use for template-based deck updates: analyze layouts, map content to slides, duplicate/reorder/delete slides safely, edit slide XML in parallel, clean orphaned assets, and repack validated PPTX output.
OCR Web Service integration. Manage Documents. Use when the user wants to interact with OCR Web Service 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.
Async media + document derivations via `platform.media.transforms` and the declarative `transforms` block in `maravilla.config.ts`. Media: transcode video, thumbnail extraction, image resize/variants, OCR. Documents (.docx/.odt/.pptx/.xlsx/...): convert to PDF, render page thumbnails, generic format conversion, Markdown extraction (RAG-ready), single-file HTML with inlined images, image-replacement templating ({{TAG}} swap + named-object swap), QR-code injection. Use when ingesting user uploads that need normalised renditions, generating contracts/invoices from templates, or extracting structured content for LLMs. Critical: derived keys are content-addressed — `keyFor(srcKey, spec)` is known up front, before the worker starts, so clients can render placeholder UI without round-trips. Declarative config is the default; imperative `transforms.*` calls are for one-offs.
Translates a contract review into a summary the business stakeholder will actually read. Not a legal memo — a two-minute answer to "can I sign this and what do I need to know." Use when user says "summarize for the business", "write this up for [stakeholder]", "explain this to procurement", "non-legal summary", or when a review is done and needs to go to someone outside legal.
Remove em-dashes and the dashes standing in for them from a user-owned scope, reading each occurrence in context and choosing the punctuation or wording that fits.
Convert text with private context or internal dependencies into generic, unbiased expressions. Use for project decontextualization (handoff, open-source prep), methodology abstraction, cross-team sharing, anonymization. Includes path strings and file/folder names as they appear in text.
Guide for development and code tools skills including document processing, browser automation, testing frameworks, and IDE integrations.