Skill UI

Python library for accessing SEC EDGAR filings, extracting XBRL statements, insider trading, and institutional holdings data to power financial analysis, screening, or structured data workflows across 10-K/10-Q/8-K/DEF-14A filings.

FluidSim is a Python-based CFD framework offering pseudospectral solvers (2D/3D Navier-Stokes, shallow water, stratified flows) with FFT, MPI, Pythran/Transonic acceleration, and rich output analysis for turbulence or geophysical studies.

Defines a Markdown/Mermaid-first documentation skill for scientific and technical writing, providing diagram standards, 24 reference types, and templates so every report, README, or analysis stays text-first, versionable, and visualization-ready.

This skill provides a comprehensive framework for performing end-to-end UI testing and verification on Android emulators. It guides users through systematic processes including device calibration, UI element discovery using uiautomator, performing complex interactions (tap, swipe, input), and robust reporting via visual screenshots and logcat analysis. Ideal for ensuring the stability and functional correctness of React Native or native Android applications.

Performs static security analysis on GitHub Actions workflows that incorporate AI coding agents (e.g., Claude, Gemini, OpenAI). This skill helps identify critical data flow vulnerabilities, such as where attacker-controlled input can reach AI agent prompts or internal systems via CI/CD pipelines, going beyond simple expression checks.

This skill establishes a rigorous framework for building deep architectural context by performing ultra-granular, line-by-line analysis of code. It applies methodologies like First Principles and 5 Whys to maintain a stable, evolving mental model of the entire system, making it essential for pre-vulnerability security auditing, threat modeling, and complex architecture reviews.

A command-line utility designed to search, extract, and analyze data from Burp Suite project files (.burp). It allows users to search request/response headers and bodies using complex regex patterns, extract security audit findings, or gather proxy/site map data. Essential for deep analysis of captured HTTP traffic in web security testing, while providing safeguards against large data overflows.

Scans cryptographic implementations to flag operations whose timing decisions leak secrets, offering language-specific guides, architecture/optimization options, and output modes so teams can enforce constant-time practices across reviews and CI.

This skill provides deep technical expertise regarding the DWARF debugging format (v3-v5) and the DWARF standard. It assists in analyzing, parsing, verifying, and generating debug information from compiled binaries. Use cases include answering questions about the DWARF specification, writing code that interacts with DWARF data, and utilizing tools like `dwarfdump` or `readelf` for structural validation and quality metric extraction.

Provides guidance for organizing and navigating Jupyter Notebook workflows, focusing on structuring analysis, experiments, and reports within interactive Python sessions.

This skill provides a comprehensive guide for creating production-quality custom Semgrep rules. It teaches best practices for detecting security vulnerabilities, enforcing robust coding standards, and identifying specific bug patterns. By emphasizing a test-first approach and utilizing advanced techniques like taint mode, users can write highly accurate static analysis rules that drastically reduce false positives.

This skill provides a structured workflow for porting existing Semgrep security rules to multiple target languages. It guides users through applicability analysis, test-first rule creation, and validation for each language variant, ensuring consistent and accurate security coverage across polyglot codebases.