Document Claude Skills
2 253 document skills from 443 authors. They read and assemble documents, spreadsheets and slide decks. Half of them fit into 1 829 tokens or less — that is what one costs your context window when the agent loads it. 571 ship runnable scripts rather than instructions alone. 24 of them cannot work without an MCP server, most often rube. We also found 422 copies of these same skills sitting in other people's repositories — counted once here, not 422 times.
2 253 unique 443 authors 2 updated this month 183 from vendors
Use this skill to extract visual calendar data from a PDF file using PyMuPDF (fitz), including reading text for time labels and appointments, detecting colored rectangular blocks, and measuring their vertical positions to determine start/end times based on a 15-minute-per-row grid.
Use this skill to fill in the California SC-100 Small Claims Court PDF form with case data and save the filled PDF. Handles text fields, checkboxes, and radio buttons using pypdf. Run the inspection skill first to confirm field names, then use this skill to write the filled PDF to /root/sc100-filled.pdf.
Use this skill to inspect all form fields in a PDF file, printing their names, types, and current values/export values. Useful for understanding the structure of a PDF form before filling it.
Use this skill to classify and move 100+ PDF/PPTX/DOCX files into 5 subject folders (LLM, trapped_ion_and_qc, black_hole, DNA, music_history) based on content analysis. Handles keyword scoring with filename tiebreaking and music_history as catch-all default.
Fills a PDF form with provided data. It maps field keys to their respective pages and applies values. It handles multi-line text areas by assigning specific strings to the identified sequential keys. For checkboxes, it uses the precise export values found during inspection. All dates must be formatted as 'xxxx-xx-xx'.
Splits a long string of text (like a claim description or reason) into multiple parts that fit into sequential PDF field keys. Use this when the SC-100 form provides multiple lines (e.g., 'Reason_Line1', 'Reason_Line2') for a single explanation.
Extracts detailed information about form fields in a PDF, including field keys, types, page indices, current values, and allowed export values for checkboxes and radio buttons. Use this to identify how multi-line text is split across different keys (e.g., 'Reason_1', 'Reason_2') and to find the exact string required to check a box (e.g., 'Yes', '1', or 'On').
Extracts text and mathematical descriptions from a PDF file to identify specific algorithm parameters and loss functions. This is used to ensure the implementation matches the theoretical definition in the paper.
Manually processes non-standard conditional markers like `{{IF_VARIABLE}}` and `{{END_IF_VARIABLE}}` in a Word document. It identifies blocks of text to either retain (removing markers) or delete (removing the block) based on data.
Replaces placeholders in a Word document across all sections, including headers, footers, body paragraphs, and deeply nested tables. It uses paragraph-level replacement to ensure placeholders split across multiple runs are correctly identified.
Discovers PDF, DOCX, and PPTX files in a directory (handling hidden characters and extensions robustly), extracts their text, determines their subject, and moves them into organized folders.
Categorizes a document into one of five subjects (LLM, trapped_ion_and_qc, black_hole, DNA, music_history) based on an expanded technical keyword dictionary. It prioritizes the beginning of the text (titles and abstracts) where subject density is highest.
Extracts text from .docx and .pptx files using `pandoc`. This tool is preferred for its robustness in handling various document schemas and converting them into plain text for analysis.
Extracts text from PDF files using the `pdftotext` command-line utility with the `-layout` flag to preserve multi-column formatting, which is essential for accurately parsing scientific papers.
Parse the calendar PDF to identify existing appointments, flexible blue slots, and the 15-minute grid coordinate mapping.
Use this skill to identify, extract, and populate specific fields within a PDF form using the pdftk or pikepdf toolsets.
Strategies for programmatically modifying .docx files, handling placeholders, and performing conditional text removal.
Robustly extracts text from PDF, DOCX, and PPTX files while maintaining structural integrity for multi-column layouts and nested elements.
Maps documents to specific categories using a combination of keyword-based semantic matching and categorical hierarchy.
Parses /root/calendar.pdf to extract appointment timings, color-coded blocks, and time-axis mappings using pdfplumber.
Inspecting and filling interactive PDF forms (AcroForms) using the pypdf library. Crucial for automating the population of government or legal PDF documents.
Techniques for replacing text placeholders, safely deleting paragraphs, and handling custom multi-paragraph conditionals (like IF/END_IF markers) in Microsoft Word documents using python-docx.
Fill PDF forms programmatically using pypdf library. Use this skill whenever you need to fill in PDF forms with field data, extract field names from PDFs, or generate filled PDF documents. Essential for automating form completion tasks.
Search and query enterprise JSON data to find specific information like employee IDs, document references, URLs, and insights. Use this skill when you need to locate answers to business questions such as finding authors of reports, team members with specific insights, or shared URLs. Handles multi-step queries, filtering, and deduplication of results.
Generate filled offer letters from a JSON employee data file and a Word template. Use this skill whenever you need to create offer letters by matching data fields to document placeholders, handling conditional relocation packages, and saving the final document.
Replace placeholders in Word documents (.docx files) and handle conditional sections. Use this skill whenever you need to fill in {{PLACEHOLDER}} markers in a .docx template, or when working with conditional blocks like {{IF_CONDITION}}...{{END_IF_CONDITION}}.
Organize large collections of files into categorized folders. Use this skill when you need to move or copy 100+ files into multiple destination folders based on classification data. Handles PDF, DOCX, PPTX and other file types while preserving original filenames and content.
Classify documents by subject matter. Use this skill when you need to determine which category (LLM, Trapped Ion & Quantum Computing, Black Hole, DNA, Music History) a PDF, DOCX, or PPTX file belongs to based on its content. Analyzes titles, abstracts, keywords, and text content to accurately categorize documents.
Extract appointments and time blocks from a calendar PDF. This skill helps parse calendar.pdf to identify appointment blocks, their positions on the timeline, duration, and color coding (including blue blocks that represent flexible/overwritable slots). Use this whenever you need to extract calendar data from a PDF document.
Fill PDF form fields programmatically using Python and pypdf. Use this skill whenever the user needs to fill out a PDF form, set text fields, or check checkboxes in a PDF document.
> Fill Word document (.docx) templates that use placeholder syntax like {{PLACEHOLDER}}. Handles split placeholders (where Word splits a placeholder across multiple XML runs), conditional sections ({{IF_X}}...{{END_IF_X}}), and preserves formatting. Use this skill whenever the user asks to fill a Word template, generate a document from a template, or replace placeholders in a .docx file.
Organizes mixed document files (PDF, PPTX, DOCX) into subject-based folders by analyzing content. Use this skill when sorting, categorizing, or organizing documents into topic folders.
Classifies PDF academic papers by subject area using text extraction from first pages. Use this skill whenever you need to categorize, sort, or organize PDF papers by topic, research field, or subject matter.
How to fill out California Small Claims Court forms (SC-100 and related). Use this skill whenever the user needs to complete a California small claims court filing, fill in plaintiff/defendant information, describe a claim, or prepare court documents for small claims cases.
> Fill Word offer letter templates with employee data, replacing {{PLACEHOLDER}} tokens and handling {{IF_CONDITION}}...{{END_IF_CONDITION}} conditional blocks. Use this skill whenever the user asks to generate, fill, or produce an offer letter from a .docx template and a JSON data file, or whenever you need to merge HR data into a Word document template with placeholders and optional sections (e.g. relocation package, signing bonus).
Organizes PDF, PPTX, and DOCX academic files into subject folders by extracting and analyzing their title/abstract text. Use this skill whenever the user needs to sort or categorize a batch of research papers or documents into topic-based folders (e.g., LLM, quantum computing, biology, physics, music). Handles arXiv papers and other academic documents automatically.
Robustly fill Word (.docx) templates with JSON data. Handles split placeholders, nested tables, headers/footers, and conditional logic like IF/END_IF blocks. Use this skill whenever you need to generate professional documents from templates.
Extracts appointments, start/end times, and priority colors from a PDF calendar. Use this skill whenever you need to understand existing schedules from a visual PDF calendar document.
Specialized instructions for reading, modifying, and filling PDF legal forms (e.g., California judicial council forms). Use this for any task involving PDF forms.
Handles reading, populating, and saving .docx files using the python-docx library. Use this skill for any tasks involving template filling or modifying Word documents.
Use this skill to classify PDF, PPTX, or DOCX files into subject categories: LLM, trapped_ion_and_qc, black_hole, DNA, or music_history. Analyze filenames and available content to determine the correct category.
How to process Word documents (.docx) with python-docx. Use this skill whenever the user mentions Word templates, docx templating, replacing placeholders, or processing Word files, even if they don't explicitly ask for it.
How to classify and organize documents (PDFs, DOCX, PPTX) into categories based on their content. Use this skill whenever the user mentions organizing, sorting, or classifying documents into subjects or folders, even if they don't explicitly ask for it.
Word document manipulation with python-docx - handling split placeholders, headers/footers, nested tables
A comprehensive PDF toolkit for advanced data extraction and document analysis. Beyond text and table extraction, this tool is optimized for visual layout reasoning: it can map graphical elements to coordinates (such as determining appointment times based on their position on a calendar timeline) and identify color-coded features (e.g., distinguishing high-priority blocks from flexible blue-colored entries). Use this skill when the task requires interpreting schedule layouts, calculating durations from visual spans, or resolving scheduling conflicts based on the spatial and color properties of a PDF document.
원본 재무 데이터(엑셀·은행 CSV·카드 내역 CSV·영수증 이미지·세금계산서 PDF·카드명세서 PDF)를 표준 거래내역 13개 필드로 변환하는 스킬. PaddleOCR 로컬 처리로 영수증·세금계산서·카드명세서에서 거래 자동 추출, Level 2 민감정보 마스킹 적용.
한국 스타트업·1인 법인 대표·프리랜서·개인사업자를 위한 장부 자동 생성 진입점 스킬. 호출 시 5개 하위 스킬(jangbu-import·jangbu-tag·jangbu-tax·jangbu-dash·jangbu-jongso)을 번호·문자 메뉴로 제시하고, 입력 즉시 해당 스킬 인터뷰로 직행한다. 엑셀·5대 은행 CSV·7대 카드사 명세서 PDF·영수증·세금계산서 지원, macOS Vision/PaddleOCR 로컬 처리, Level 2 민감정보 마스킹.