Skill UI

This skill performs a comprehensive post-generation visual polish on existing slide decks (PPTX/Beamer). It utilizes per-page Codex review against a specified reference PDF to ensure consistent visual weight, typography, and layout across all slides. It fixes font scaling, text overflow, and structural drift without altering core content, ensuring a professional and cohesive presentation.

This expert playbook provides comprehensive techniques for exploiting Server-Side Template Injection (SSTI). It covers polyglot detection probes, engine fingerprinting (Jinja2, Twig, FreeMarker, etc.), sandbox escape mechanisms (MRO chains), and advanced bypass techniques. Essential reading for security researchers and penetration testers assessing application vulnerabilities.

This skill guides the design and optimization of production-grade multi-agent systems. It specializes in using LangGraph, LangChain, and DeepAgents to create structured, complex AI workflows. It covers state management, agent routing, memory integration, and tool calling, making it ideal for building robust, scalable agents like supervisors, planners, and coders.

This CLI alias serves as a system maintenance tool for PUA agent state. It scans for stale PUA agent data, identifying and safely removing only confirmed orphan records to maintain system integrity. It also manages configuration files, ensuring unknown fields are preserved when updating the primary config JSON.

A comprehensive toolkit for managing the entire lifecycle of feature flags, treating them as a controlled process rather than simple if-statements. This system provides scripts to scan for technical flag debt, plan progressive rollouts (e.g., ring, linear), and audit for crucial kill-switches. Ideal for release engineering, ensuring features are properly launched, tested, and safely retired.

A comprehensive pre-production audit tool that scans a codebase for critical issues across eight dimensions: security, database, deployment, code quality, AI/LLM usage, dependencies, frontend, and observability. It intercepts deployment commands, forcing users to resolve critical failures before shipping code. The audit is stack-agnostic and provides detailed pass/fail/manual reports.

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

A comprehensive guide to designing and structuring a scalable home or small-lab network. This skill covers best practices for IP addressing, network segmentation (VLANs), selecting reliable gateways (like pfSense/OPNsense), and planning for future growth, ensuring stability and avoiding common pitfalls like Double NAT. Ideal for advanced users building robust IoT, server, and guest networks.

This tool provides comprehensive diagnostics for Border Gateway Protocol (BGP) within network environments. It helps engineers troubleshoot connectivity issues, verify routing paths, and diagnose complex peering problems across large-scale networks. Ideal for network operations and advanced troubleshooting.

A comprehensive guide to Redis best practices for backend development. Learn how to implement critical features such as Cache-Aside, Write-Through caching, rate limiting, distributed locks, and reliable messaging using Pub/Sub and Redis Streams. Essential for building scalable, high-performance production systems.

This comprehensive guide covers essential operations for handling PDF documents, including text, table, and metadata extraction using libraries like pdfplumber. It details document creation with reportlab, merging/splitting with pypdf/qpdf, and advanced OCR for scanned PDFs. Ideal for automating complex document workflows and structured data ingestion.

The Ejentum Reasoning Harness is a comprehensive library of cognitive operations designed to guide complex AI agents through critical thinking tasks. It exposes four specialized harnesses (reasoning, code, anti-deception, memory) that mitigate common failure modes like hallucination and reasoning decay. Instead of a fixed answer, the agent ingests a detailed, executable scaffold—including failure patterns, procedures, and falsification tests—to ensure robust, self-verified output.