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Found 52 Skills
Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.
This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses DuckDuckGo's search API to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.
Use this skill when you need to work with pubmed through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.
Build and validate cron expressions from natural language. Convert between human-readable schedules and cron syntax with next run preview.
Scrape web pages and save as HTML or Markdown (with text and images). Minimal dependencies - only requests and beautifulsoup4. Use when the user provides a URL and wants to download/archive the content locally.
8 production-ready product skills: product manager toolkit with RICE prioritization, agile product owner, product strategist with OKR cascades, UX researcher, UI design system, competitive teardown, landing page generator, and SaaS scaffolder. Python tools included (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Use this skill when you need to work with search-mcp through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Fetch web page content via Chrome DevTools Protocol (CDP). Full JS rendering, handles redirects (including Google News). Use when you need to read the text content of a web page, scrape articles, or extract information from URLs. Zero dependencies — Python 3 stdlib only. Cross-platform (Mac, Windows, Linux).
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
Search and retrieve preprints from bioRxiv. Use when asked to "search bioRxiv", "find preprints", "look up bioRxiv papers", or retrieve life sciences literature.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.