Skill UI

This skill replaces detected Protected Health Information (PHI) in clinical notes with realistic, type-matched synthetic surrogates. Unlike simple redaction, surrogates maintain the natural readability and structure of the text, ensuring the data remains parseable for downstream NLP tasks, QA, or human review. It supports consistent, reproducible fake identities and allows custom identifier generation for proprietary formats.

A comprehensive, multi-phase workflow guide for authorized reverse engineering of complex network protocols. Ideal for analyzing proprietary formats such as custom TCP/UDP binary protocols, Protobuf, gRPC, WebSocket frames, and reconstructing state machines from raw PCAP data. This guide covers data collection, field layout restoration, serialization recovery, and secure replaying.

This tool automatically generates comprehensive release notes from git commits. It analyzes version history, categorizes changes (features, fixes, etc.), and outputs three distinct formats: a technical CHANGELOG.md section, a semi-technical PR body, and a user-friendly Slack announcement. It excels at transforming complex technical jargon into accessible messaging for different audiences.

This tool automatically formats Python code using the industry-standard 'black' formatter. It ensures your codebase adheres to consistent style guidelines, improving readability and maintainability across the entire team. Ideal for development workflows and code reviews.

A utility designed to read the contents of local data files by specifying their file path. This tool is useful for quick data inspection, initial data loading, or preliminary analysis when a user needs to access raw information from various file formats (e.g., TXT, CSV).

This framework applies the Lindy Effect principle to assess the expected remaining life of non-perishable technologies, ideas, or practices. It treats the current survival age as a strong prior for future longevity, guiding users to favor proven, long-surviving options. It is crucial when making critical, high-stakes choices (like selecting frameworks or protocols) where relevance must last years, requiring checks for domain drift and a clear burden of proof before adopting novelty.

Converts books, documentation folders, and source collections (PDF, EPUB, DOCX, HTML, Markdown, RST, etc.) into structured agent skills. Extracts named frameworks, principles, techniques, and anti-patterns into a master SKILL.md plus chapter files, glossary, patterns, and a decision cheatsheet. Ideal for turning internal docs or standards into reusable knowledge bases or packaging compiled skills as plugins.

Generates formal, structured EU AI Act compliance assessment reports for legal files, audit trails, and regulatory inquiries. Supports multiple report formats, adaptive intake of system details, consistency validation, and cross-checks against regulation (EU) 2024/1689. Suitable for documentation and governance use.

Learn how to implement data-driven design in Godot using custom Resource classes. This guide covers defining typed data structures (like items, stats, or configs) using `class_name` and `@export`, creating editable `.tres`/`.res` assets, referencing them in scripts, and managing runtime saving and loading via `ResourceLoader` and `ResourceSaver`. Essential for building scalable, data-heavy games without hardcoding values.

This specialized skill serves as an AI legal assistant for Icelandic jurisprudence. It is designed to search, cite, analyze, and summarize decisions from various Icelandic courts, including the Supreme Court, Court of Appeal, District Court, and Labour Court. It provides detailed information on court hierarchies, legal citation formats, and specialized search strategies for comprehensive legal research.

This skill analyzes various legal AI outputs, such as memos, contracts, and reports, to assess their structural integrity and legal robustness. Inspired by Minimum Description Length (MDL), it audits for unnecessary complexity, overly verbose caveats, hidden legal uncertainties, or inefficient workflow design, ensuring the resulting output is as concise and simple as legally safe.

This utility provides fundamental text processing capabilities, including detailed word and character counting, frequency analysis, and various text transformations (e.g., uppercase, title case). It is designed for analyzing documents and batch processing files, supporting output in both JSON and human-readable formats.