Skill UI

A comprehensive toolkit designed for advanced data scraping and automation workflows on X/Twitter. Capabilities include deep tweet search, user profile analysis, bulk follower/media export, automated posting (replies, DMs), real-time account monitoring via webhooks, and integration with multiple AI agent platforms (Hermes, OpenClaw). Ideal for market research, social listening, and content automation.

A comprehensive toolset for digital forensics, designed to detect, extract, and analyze covert data hidden within images, audio, and video files. It utilizes advanced steganalysis techniques (LSB, DCT, frequency domain analysis) and specialized tools (StegDetect, zsteg, binwalk) to uncover hidden communications channels, making it crucial for investigations involving data exfiltration or insider threats.

Analyze Excel and CSV files using DuckDB SQL engine. Supports schema inspection, statistical summaries, SQL queries, multi-sheet workbooks, and export to CSV/JSON/Markdown. Ideal for structured data exploration and business intelligence tasks. Handles large files efficiently with columnar engine.

Read, inspect, and write Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO. Extract HEADER, TEXT, ANALYSIS, and channel metadata, retrieve event data as NumPy arrays, handle multi-dataset legacy files, and export FCS 3.1 list-mode data. For compensation, transforms, or gating, use FlowKit instead.

This meta-skill orchestrates a comprehensive workflow for analyzing PDF documents. It handles complex tasks such as summarizing, cross-document comparison, and targeted Q&A. It ensures findings are traceable by indexing evidence from various sources (full PDFs, pasted excerpts, etc.) and synthesizing structured insights across multiple files.

This package ensures full reproducibility for international macroeconomics research. It is designed for projects utilizing complex, multi-source, and often restricted data (such as IMF or central bank files). It mandates capturing the entire data lineage, pinning the execution environment (R, Python, Stata), and documenting access instructions, allowing any authorized replicator to rebuild the analysis from scratch.

Analyze Excel spreadsheets with pandas: read multiple sheets, clean data, build pivot tables, merge files, format workbooks, and generate charts.