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 384 copies of these same skills sitting in other people's repositories — counted once here, not 384 times.
2 253 unique 443 authors 1 301 updated this month 183 from vendors
Write HLD, High-Level Design, 写技术设计文档。Use when: PRD 和 API Contract 完成后需要做系统架构设计、技术选型、制定技术方案。
Write PRD, 写产品需求文档。Use when: 需要写新功能 PRD(有UI/无UI)、第三方集成、功能重构、性能/安全优化需求。
CRE Document Ingestion suite — 4 specialist skills for classifying and extracting structured data from deal documents including rent rolls, T-12 financials, and offering memoranda.
CRE Legal review suite — 6 specialist skills for PSA review, title & survey analysis, estoppel tracking, loan document review, insurance coordination, and transfer document preparation for multifamily acquisitions.
Use when the user wants to turn a Markdown report into a presentation-quality .pptx via interactive design decisions and a reusable hand-coded build script. Drives pre-analysis, global style choices, optional per-slide layout dialogue, python-pptx composition, and optional LibreOffice render self-check. NOT a generic auto-converter, NOT for PDF output, and NOT a fixed brand-template pipeline — brand integration is handled ad hoc through helper primitives.
Use when the user wants to convert one Markdown file into a publication-ready A4 PDF, especially when the source may contain Mermaid diagrams, ASCII diagrams, CJK text, tables, or pandoc/weasyprint edge cases. Works by copying the source to a _pdf.md working file, converting diagrams, escaping PDF-breaking syntax, rendering with pandoc + weasyprint, then self-checking pages. NOT for batch conversion, slide decks, or editing the original Markdown in place.
>- Parallel-research-then-converge design workflow between two agents. Use this skill when the user wants two agents to independently think through a design problem before aligning on a solution — "spec X with codex", "design X together", "both agents think through X", "brainstorm architecture together", "parallel research then joint proposal", "think through separately then align", "careful thought from both sides before coding", or any variation where the user wants collaborative design rather than just splitting implementation work. Also use this when you receive a message labeled sending simple messages or reviews (use /amq-cli), implementing completed designs, or creating document templates.
| 即使用户只是说"我的 Obsidian 堆了一堆没处理的东西",也应该触发。
Fill PDF form fields programmatically using Python libraries like pypdf or pdfrw
Programmatically read, modify, and create Word documents (.docx) with python-docx library
Classify documents by subject using keyword matching and text analysis
End-to-end pipeline for extracting, classifying, and organizing documents by subject
Extract text from DOCX and PPTX files for content analysis
Extract text content from PDF files for analysis and classification
Extract calendar events, blocks, and time slots from PDF calendar files using pdfplumber
Fill PDF form fields using pypdf library in Python, including text fields and checkboxes.
Techniques for retrieving structured information from enterprise Slack/document JSON data files.
Handle conditional sections in Word templates with IF/END_IF markers, removing or keeping content based on data values.
Manipulate Word .docx files with python-docx, including handling split placeholders across runs and conditional sections.
Extract text from DOCX and PPTX files using python-docx and python-pptx for content analysis.
Extract text from PDF files using Python libraries (PyPDF2, pdfplumber) for content analysis and classification.
Handle {{IF_CONDITION}}...{{END_IF_CONDITION}} conditional blocks in Word templates — keep content and strip markers when true, remove entire block when false.
Robustly replace {{PLACEHOLDER}} tokens in Word documents, handling split runs across paragraphs, tables, headers, and footers.
Manipulate Word documents (.docx) using Python, including placeholder replacement and conditional section handling.
Use this skill to extract text from PDF files to determine their subject matter.
Use PyMuPDF (fitz) to extract visual calendar blocks from a PDF, including color detection and pixel-to-time conversion.
Methods for programmatically filling PDF forms (AcroForms) and saving the results using pypdf.
Techniques for inspecting PDF form fields and their properties using Python libraries like pypdf.
Skill to extract information from the structured JSON data, including Slack messages and document metadata.
Logic for categorizing documents into subjects based on keyword matching.
Extracts text from DOCX and PPTX documents for content analysis.
Extracts text from PDF documents for content analysis.
Extract text and identifying colored regions (e.g., rectangles) from a PDF using pdfplumber.
Provides guidelines for filling out PDF forms using programming tools.
Manipulate Word documents using python-docx, including text replacement and handling conditional sections.
Extracting text and metadata from PDF documents.
A skill for replacing placeholders and handling conditional blocks in python-docx.
Extracts text from PDF, DOCX, and PPTX files using Python.
Extracts vector graphics, colors, and text from PDF files using PyMuPDF to analyze calendars or visual schedules.
Fill PDF forms using the PDF skill's form-filling scripts and workflow
Extract author, reviewer, and feedback information from structured documents and their associated discussions.
Working with Word documents (DOCX) using python-docx library with proper text replacement strategies.
Unified multi-format extraction for PDF, DOCX, and PPTX with consistent output and quality metrics
Robust PDF text extraction with fallback strategies and error handling for academic papers and documents
Extract calendar event times by analyzing visual block positions relative to hour markers
Complete workflow for filling fillable PDF forms using Claude Code PDF skill scripts with pypdf.
Robust python-docx template filling that handles split runs, conditional sections, nested tables, headers, and footers.
Extract text from PDF, PPTX, and DOCX files for content classification, with error handling and fallback strategies.