Skill UI

A comprehensive tool for managing PR crises and reputational threats. It provides rapid crisis assessment, classifies severity levels, identifies key stakeholders, and generates a structured response plan. The output includes tailored messaging for customers, media, and employees, a detailed communication timeline, channel deployment strategy, and a full recovery roadmap to rebuild trust.

A comprehensive framework for managing and protecting brand reputation across various channels. Use this skill when dealing with negative reviews, crisis communications, public relations crises, negative press, or developing proactive brand safety and recovery plans. It guides users through compliance, sentiment monitoring, and strategic response crafting.

This guide outlines the rigorous, model-based standards required for data analysis and statistical reporting in Cognitive Psychology manuscripts. It covers essential techniques such as model comparison (using AIC/BIC or Bayes factors), demonstrating parameter and model recovery, implementing mixed or hierarchical Bayesian models, and ensuring all findings are fully reproducible from shared code.

This guide provides a rigorous strategy for authors responding to major or minor revisions in cognitive psychology journals. It teaches how to systematically address every reviewer comment, strengthen model-driven inferences through techniques like model comparison and recovery analysis, and maintain the coherence and reproducibility of the theoretical argument. Essential reading for scholarly publication.

Retrieve and apply prior task Experience through OpenViking search and read tools. Use before or during executable, multi-step, or tool-based work such as coding, config changes, deployment, and failure recovery. Enhances reliability by advisory guidance while keeping the current request and environment authoritative. Scoped to the current user's Experience root, searches and reads canonical URIs, and applies relevant steps conservatively.

A comprehensive guide to ensuring the quantitative rigor and full reproducibility of econometrics manuscripts, particularly for submissions to high-tier journals like QE. Covers structural estimation (GMM, MSM), moment construction, data cleaning best practices, and comprehensive validation checks (e.g., multi-start, Monte Carlo recovery). It ensures that all results can be regenerated from raw data using pinned environments and documented scripts.

This skill specializes in analyzing built frontend artifacts, going beyond static source code. It reconstructs the dynamic JavaScript structure, tracks chunk loading paths, and interprets source maps and build manifests to recover hidden routes, APIs, and runtime behaviors. Essential for deep security analysis and understanding execution flow from deployed bundles.

A highly specialized, downstream skill for advanced threat analysis. This tool is used to recover hidden configurations, decode C2 (Command and Control) parameters, unpack staged payloads, and extract Indicators of Compromise (IOCs) from complex malware samples. It focuses on identifying the exact decode chains—including compression, encoding, and crypto steps—and linking recovered fields to observed behavioral outcomes within a sandbox environment.

This specialized skill provides a deep workflow for reverse engineering stripped Go and Rust binaries. It guides the recovery of lost runtime metadata, including symbols, pclntab data, and panic strings. The process addresses language-specific challenges, such as Go's interface structures and Rust's complex async state machines, serving as a crucial complement to general decompilers like IDA or Ghidra.

A comprehensive, multi-phase workflow guide for authorized reverse engineering of complex network protocols. Ideal for analyzing proprietary formats such as custom TCP/UDP binary protocols, Protobuf, gRPC, WebSocket frames, and reconstructing state machines from raw PCAP data. This guide covers data collection, field layout restoration, serialization recovery, and secure replaying.

A robust, shell-free utility designed to launch executables and their arguments into a visible host terminal window. It supports multiple advanced modes including dry-run inspection, capability detection, detached fallback, and standalone recovery. Ideal for applications needing to securely execute interactive CLIs, SSH sessions, or local development processes in a reliable, non-interpolated manner.

This skill enables deterministic fault injection testing for agent workflows to verify recovery mechanisms, state preservation, and safety boundaries. It generates fault matrices and event timelines to distinguish between recovered, contained, and unrecoverable failures without impacting production systems or real user data.