reviewing-documents
Systematic documentation review following document-writer principles. Use when user requests documentation review, quality check, or principle compliance verification.
Systematic documentation review following document-writer principles. Use when user requests documentation review, quality check, or principle compliance verification.
Learn and answer questions from any framework documentstion website quickly and accurately. Crawls a docs site from a seed URL, builds a lightweight URL index (titles/headings/snippets), BM25-ranks pages for a user's question, then fetehces and converts only the top-k pages to clean markdown for grounded answers with source links. Use when a user shares a docs URL and asks "how do I..", "where is..", "explain..", "OAuth/auth", "errors", "configuration" or "API usage"
Generate structured LaTeX exam cheat sheets from course materials. Extracts key concepts, definitions, formulas from PDFs, Jupyter notebooks, and markdown files. Compiles to PDF with error checking.
Use when extracting structured data from medical research PDFs, parsing study characteristics, patient demographics, outcomes, and results. Invoke for systematic review data collection from papers.
Index and search project documentation with semantic similarity. Use when you need to find relevant documentation, check if docs are indexed, or link documentation to code entities.
Generate structured chapter outlines for books with plot points, character arcs, word counts, and pacing notes. Use when planning book chapters, structuring narratives, or organizing story flow.
Extracts wine awards from PDF documents. Use when importing competition results, processing wine ratings, or when user mentions "extract awards", "parse awards PDF", "import competition results", or "process wine ratings booklet".
Translate, polish, restructure, and validate academic papers for IEEE publications. Strict adherence to IEEE style, academic tone, and formatting rules.
This skill should be used when docs-researcher agent needs guidance on "how to search documentation", "WebSearch query patterns", "filtering search results", "documentation research strategy", or "creating knowledge files". Provides systematic methodology for effective technical documentation research.
Capture all manual pages and verify translations match page images using AI-powered checking. Identifies extraction failures and can regenerate extracted text from images.
Paper reading and analysis framework using Moonshot AI (Kimi). Actions: download, analyze, read, summarize, implement papers from arXiv, SIGGRAPH, etc. Features: intelligent paper fetching, AI deep analysis, personalized reading guidance, knowledge internalization, code generation. Supports: PDF parsing, multi-dimensional analysis (summary, innovation, methodology, implementation), structured notes, knowledge graphs, code framework generation.
Validates that book chapters align with the core theme. Use when user says 'check theme alignment', 'does this fit the theme', 'verify alignment', or automatically after every 2 chapters are drafted.
Extract structured knowledge from neurosurgical and spine surgery textbooks. Identifies anatomical structures, surgical procedures, complications, and clinical relationships. Use when processing medical PDFs, building surgical knowledge graphs, or creating clinical decision support content. Applies kaizen continuous improvement from prior extractions.
This skill provides specialized tools for searching and retrieving Islamic classical texts from the Turath.io API and local metadata database. Use this skill when researching Islamic literature, finding book references, extracting page content, or creating content based on classical Islamic texts.
Search code and documentation using full-text and semantic search. Accepts a query string and returns matching files with relevance scores.
Detect clinical note sections (HPI, ROS, Assessment, Plan) using regex patterns and LLM topic segmentation. Generates ToC with accurate byte offsets.
Three-pass critical reading framework for systematic document analysis. Supports tech blogs, retrospectives, technical documentation, personal writing, and academic papers. Primary focus on Third Pass critical analysis, context validation, and actionable reconstruction. Use when analyzing complex documents, performing critical reading, extracting actionable insights, or conducting deep analysis. Triggers include Third Pass, 비판적 분석, critique, 깊이 읽기, 심층 분석.
Read and extract content from PDF files using multiple methods. LOAD THIS SKILL WHEN: User says "讀取 PDF", "read PDF", "打開論文", "看這篇" | has PDF file path | needs to extract text from PDF. CAPABILITIES: PDF to markdown conversion, text extraction, figure detection, citation extraction.
Apply RLM (Recursive Language Model) reasoning pattern for large context processing. Use when analyzing large files, codebases, or documents. Triggers on "RLM pattern", "large file analysis", "selective reading", "PROBE EXTRACT CONFIRM", or when dealing with files over 1000 lines.
Analyzes all documents in a folder and creates a comprehensive summary. Use when asked to summarize documents, understand a collection of files, get an overview of materials, or analyze what's in a folder.
Apply the GRADE framework to assess certainty of evidence in systematic reviews. Use when users need to rate evidence quality, create Summary of Findings tables, or understand the factors that affect confidence in effect estimates.
Framework for capturing, storing, and comparing AI evaluations to measure consistency and completeness. Use when: comparing reviews, measuring evaluation quality, running reproducibility tests, auditing AI outputs, validating findings across runs. Triggers: "compare evaluations", "measure consistency", "evaluation framework", "reproducible review", "compare reviews", "validate findings", "audit evaluation".