Skill UI

JobGPT is a comprehensive automation platform for managing your entire career journey. It allows users to search for jobs using advanced filters (location, salary, remote, etc.), auto-apply to openings, generate tailored resumes optimized for specific roles, and track application progress across multiple job boards. Furthermore, it provides valuable salary intelligence, helps find target recruiters, and facilitates professional outreach, making the job hunt process highly efficient.

This skill provides a systematic pipeline for safely executing large-scale code refactors across multiple files or subsystems. It first performs parallel, dependency-aware analysis to map the entire scope, synthesizing a single, actionable plan. The process then breaks the work into independent 'work packets,' which are executed sequentially or in parallel by specialized worker agents, ensuring strict dependency management and behavior parity throughout the entire process.

This skill systematically audits a given project by analyzing its historical memory, rollout summaries, and local skill definitions. It identifies repeated complex workflows, recurring operational patterns, or areas where existing skills are stale. The audit process guides the user to recommend the highest-value skills to either add (if a new pattern emerges) or update (if current skills are outdated or incomplete), ensuring the AI agent operates with the most accurate and context-specific knowledge base for optimal project execution.

This skill reviews code differences (diffs) to identify opportunities for improvement in clarity, reusability, efficiency, and overall quality. It employs multiple specialized sub-agents (e.g., Code Reuse, Efficiency, Quality) to audit changes. It can provide high-confidence, behavior-preserving fixes when requested, ensuring the code adheres to best practices without introducing regressions. Best used when refactoring, cleaning up, or auditing a specific code scope.

This guide enforces the 'spec-first' principle in software development, treating the specification as a non-negotiable contract. It outlines a rigorous, multi-stage workflow detailing mandatory sections (Functional/Non-Functional Requirements, Acceptance Criteria, API Contracts, Data Models) and bounded autonomy rules. Users learn how to define the system 'must do' before writing a single line of code, thereby minimizing rework and eliminating scope creep.

A powerful operational companion for database developers. This skill assists with the daily lifecycle of database interactions, including translating natural language requirements into optimized SQL queries, generating database migrations, performing comprehensive schema introspection across multiple dialects (PostgreSQL, MySQL, SQLite, SQL Server), and identifying performance bottlenecks through detailed query optimization and index recommendations. It also supports ORM patterns like Prisma and SQLAlchemy.

AKF is the native metadata format specifically designed for tracking AI-generated or AI-modified content. It allows users to stamp files (including DOCX, PDF, images, and code) with detailed trust scores, source provenance, and compliance metadata. This tool is essential for professional workflows requiring strict auditing, compliance assurance, and verifiable data lineage, especially concerning regulations like the EU AI Act, HIPAA, and SOX.

Analyzes UEFI bootkit persistence mechanisms across firmware implants, ESP tampering, and Secure Boot bypass techniques to guide firmware integrity audits, ESP inspection, and malware investigations.

Keeps project-specific memory for Claude Code by auto-loading context on each session, tracking git activity, and running deterministic Node.js scripts so instructions remain consistent across models.

A specialized tool for conducting comprehensive literature reviews in the communications domain. It covers advanced topics like wireless networking (5G/6G), satellite communication, protocols, and beamforming. The skill utilizes a knowledge-base-first approach, prioritizing user-local sources (Zotero, Obsidian, local PDFs) before systematically searching major academic databases (IEEE, ACM, ScienceDirect) to provide a detailed, structured, and highly relevant summary of related work.

Detects AI-generated voice phishing by extracting MFCC and spectral cues, scoring batches, and outputting forensic reports for incident response and red/blue team exercises.

This sophisticated skill transforms validated research ideas and literature into structured, reviewer-ready grant proposals. It supports the unique requirements and specific formats of major international and national funding bodies, including KAKENHI (Japan), NSF (US), NSFC (China), ERC (EU), and others. It guides the user through the entire grant lifecycle, from initial concept validation to final submission-ready documents, focusing on scientific merit, feasibility, and broader impact.