Skill UI

This utility reads structured JSON outputs from multi-search-engine APIs (e.g., Google Scholar, arXiv) provided via standard input. It converts these normalized records into a clean, minimal BibTeX format, suitable for academic papers. It intelligently preserves crucial metadata like DOI, authors, and years while automatically handling data sanitization, deduplication of DOIs, and protecting complex fields like corporate names.

Analyzes a coding session's git history and conversation to produce evidence-backed records of AI versus user contributions, including decisions, bug root causes, and work logs.

A comprehensive guide detailing modern and idiomatic best practices for C# development. This reference covers advanced topics including LINQ optimization, null safety implementation, asynchronous programming patterns (Async/Await), and utilizing modern features like Records and Pattern Matching to write robust, high-performance code.

This comprehensive guide outlines modern and idiomatic Java best practices. It covers advanced topics like Streams, Optional, Records, and Pattern Matching, while detailing anti-patterns and efficient ways to handle concurrency and error management in contemporary Java development.

This guide details the process of adding, verifying, and publishing necessary DNS records (SPF, DKIM, DMARC) for a custom sending domain in Mailtrap. It covers both manual compliance steps via the UI and programmatic automation through the Sending Domains API. Essential for ensuring high email deliverability and authentication compliance.

This skill transforms the current workspace into a comprehensive, stateful teaching environment. It guides the user through deep, multi-session learning by structuring content into core components: a defined mission, reference materials, curated resources, structured lessons, and continuous learning records. It employs educational best practices (spaced repetition, retrieval practice) to ensure long-term knowledge retention.

A comprehensive guide and toolkit for digital forensics experts to parse and analyze raw email headers (Received, Message-ID, etc.). This method traces the true origin of suspicious emails, validates sender authenticity by analyzing SPF, DKIM, and DMARC records, and confirms or rules out email spoofing attempts. Essential for incident response and phishing investigation.

A comprehensive tool designed to discover and map adversary-controlled assets, including C2 servers, phishing domains, and exploit kits. It utilizes sophisticated pivoting techniques across passive DNS records, Certificate Transparency logs, Shodan/Censys scans, and network fingerprints (JARM/JA3S) to generate actionable threat intelligence, perfect for CTI investigations and security operations.

An interactive skill designed to interview users to capture project vision, core decisions, and technical preferences. It systematically converts raw discussions into structured documentation, maintaining the project's history in ADRs (Architectural Decision Records) and its overarching goal in the README.

This skill automates the creation of Architecture Decision Records (ADRs) by generating sequential IDs, writing markdown files, and registering entries in AgentDB. It handles slugification, template generation, and links related decisions for better project documentation management.

Builds or rebuilds the ADR index and dependency graph from on-disk ADR files, persisting records and relationship edges (supersedes, amends, related, depends-on) to AgentDB namespaces for semantic search and integrity checks.

This skill reviews code changes against accepted Architecture Decision Records (ADRs) to detect violations, drift, and non-compliance. It helps ensure that code modifications respect the architectural decisions agreed upon by the team. Use it before merging PRs or during periodic compliance checks. The process involves analyzing diffs, searching for relevant ADRs, checking constraints, and generating a compliance report with suggestions for violations.