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Find your next superpower If you are an agent, refer to our llms.txt for full access.Generate sophisticated initial access payloads designed to bypass email gateways and endpoint antivirus systems while executing Command and Control (C2) agents. Use this skill to craft malicious LNKs, ISOs, Weaponized Office Documents, and HTML Smuggling techniques for Red Team campaigns.
Fetches and annotates traces, spans, and sessions to investigate errors. Also inspects datasets, reviews experiments and annotation configurations, and accesses the GraphQL API.
Supports creating and running evaluators for AI and LLM applications using Phoenix.
Guides LLM tracing and custom span creation with OpenInference semantic conventions. Supports instrumentation for Phoenix AI observability, including production deployment contexts.
Uses PhotoKit and AVFoundation for photo pickers, capture sessions, library access, and image display or processing. Covers video recording and photo, camera, and media permissions in Swift apps.
Guides PHP code reviews and quality audits using modern PHP 8.x practices. Covers type safety, PSR standards, SOLID principles, and adherence to PHP best practices.
Exploit PHP object serialization vulnerabilities (Insecure Deserialization). This skill details how to identify unserialize() injection points and construct malicious serialized objects using Property Oriented Programming (POP) chains to achieve Remote Code Execution (RCE).
Generates a complete PHP Model Context Protocol server project using the official PHP SDK. Includes tools, resources, prompts, and tests.
Creates controllers, middleware, typed DTOs, dependency injection, and REST or GraphQL APIs using PHP 8.3+, Laravel, or Symfony. Supports database migrations, PHPUnit/Pest tests, static analysis, PSR standards, and asynchronous PHP patterns.
Uses MAFFT for sequence alignment, IQ-TREE 2 and FastTree for tree inference, and ETE3 or FigTree for visualization. Supports microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
Creates inspection datasets for PCBA, metal surfaces, and glass using Cosmos AnomalyGen. Covers cold-start augmentation, real-image inference and labeling, asset setup, fine-tuning checkpoints, and deployment configuration.
Manages infrastructure for synthetic data generation, including Kubernetes clusters, inference endpoints, and OSMO deployment. Covers workload readiness, resilient scaling, and recovery from infrastructure failures.
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