Skill UI

A comprehensive guide to implementing production-grade reliability patterns for Snowflake environments. Covers advanced techniques like Time Travel for point-in-time recovery, cross-region database replication, account failover groups for disaster recovery, and application-level resilience coding (e.g., connection failover logic). Essential for building fault-tolerant, highly available data pipelines.

Methodology for assessing WPS-enabled routers using Pixie Dust offline recovery, online PIN brute force, lockout handling, and PBC edge cases. Useful for wireless security testing and understanding WPS exposure on consumer APs.

This skill guides the detection and recovery of exposed version-control system (VCS) metadata, including paths for Git, SVN, and Mercurial, as well as common backup and configuration files. It is essential for authorized penetration testing when assessing an application's security posture against information leaks. Techniques include probing specific directories (e.g., /.git/HEAD) and analyzing status codes (e.g., 403 vs 404) to confirm exposure.

This playbook provides advanced techniques for symbolic execution using angr, Z3, and Unicorn Engine. It covers automating CTF challenges, handling constraint solving patterns, function hooking, memory manipulation, and emulating custom virtual machines for binary analysis and key recovery.

This advanced skill manages complex, large-scale development tasks by coordinating multiple, specialized subagents in parallel. It systematically decomposes the goal into isolated missions, manages resource quotas (token usage), and handles error recovery across multiple files and components. Ideal for large feature builds, system refactoring, or complex applications requiring multiple, concurrent roles (Planner, Builder, Tester).

Creates comprehensive, actionable disaster recovery (DR) documents for any service or system. It defines critical recovery targets (RTO/RPO), outlines failure scenario runbooks, specifies backup validation procedures, and establishes testing cadences. Use this tool when building site reliability engineering (SRE) practices or preparing for major system failure simulations.

This comprehensive guide details how to build a robust, ransomware-resilient backup architecture using the extended 3-2-1-1-0 methodology. It covers defining Recovery Point/Time Objectives (RPO/RTO), configuring multiple isolated copies (local, offsite, immutable/air-gapped), strictly isolating backup credentials, and automating regular restore testing. Essential for organizations requiring high cyber resilience against modern threats.

This guide provides a deep dive into the cryptographic techniques used by ransomware, including AES, RSA, ChaCha20, and hybrid schemes. It covers identifying algorithms, analyzing key management patterns (strong, weak, flawed), and reverse engineering file encryption routines to assess decryption feasibility and support recovery efforts.

This comprehensive guide outlines best practices for building reliable and robust AI agent harnesses. It covers optimizing action spaces, defining structured tools, managing observation formats, and implementing essential error recovery contracts. Use these principles to dramatically improve agent completion rates, manage context budgets effectively, and transition AI prototypes into stable, production-grade autonomous systems.

This skill provides a systematic, four-phase workflow for diagnosing and recovering from AI agent failures. It guides the agent to first capture the failure state, diagnose the root cause (e.g., loop, context overflow, state drift), apply minimal containment recovery actions, and finally generate a detailed introspection report, minimizing the need for human intervention.

This pattern defines a robust, continuous loop structure for autonomous agents. It integrates crucial components like quality gates, evaluation harnesses, and explicit recovery controls. It guides complex workflows by defining decision paths (e.g., PR control, RFC decomposition) and includes strategies to mitigate common failure modes such as infinite loop churn or cost drift, ensuring measurable progress in autonomous systems.

Expertise in managing product returns and reverse logistics, covering return authorization, receiving and inspection, disposition decisions, refund processing, fraud detection, and vendor recovery claims. Based on 15+ years of experience as a return operations manager, providing a staged framework, disposition economics, fraud pattern recognition, and vendor return processes. Use for handling product returns, reverse logistics, refund decisions, return fraud detection, and warranty claims.