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Investigate compromised Docker containers by preserving evidence and examining image layers, logs, file changes, and host settings. Summarize suspicious activity, security configuration issues, and vulnerability findings to support incident response.

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• Investigating a compromised application container
• Examining a suspicious image from a registry
• Checking evidence of a container escape attempt

Investigate suspicious URLs with URLScan.io by reviewing screenshots, redirects, page content, and network requests. Extract domains, IP addresses, and file hashes as indicators of compromise, then compare findings with threat intelligence sources.

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• Investigating suspicious links in emails
• Checking pages for brand impersonation and credential forms
• Tracing redirects and extracting domains, IPs, and hashes

Analyze Go malware binaries in Ghidra by extracting build metadata, function names, dependencies, and relevant strings. Use GoResolver to help recover obscured names and organize functions so analysts can focus their reverse engineering work.

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• Investigating the structure of a Go malware sample
• Recovering function names from stripped or obfuscated binaries
• Identifying embedded Go modules and dependencies

Analyze NetFlow v9 and IPFIX records, which summarize network connections, to spot traffic spikes, scanning, unusual outbound transfers, and periodic connections. Compare traffic against normal patterns and produce a prioritized findings report.

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• Investigating sudden increases in network traffic
• Checking unusual outbound transfers for possible data theft
• Finding periodic connections to external control servers

Create blog posts and social media content with a consistent brand voice, meaning a recognizable writing style. Includes tools for analyzing existing text and suggesting search optimization improvements, plus templates for adapting content and planning publication calendars.

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• Define a consistent brand writing style
• Improve blog posts for search
• Adapt articles into social media posts

Use SAELens to train and analyze sparse autoencoders, which separate neural network activity into features that may represent recognizable concepts. Explore pretrained features, evaluate reconstruction quality, and investigate how individual features influence language model outputs.

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• Exploring features with a pretrained SAE
• Training and evaluating a custom SAE
• Studying overlapping concepts in model activity

Support startup financial decisions with cash runway scenarios, customer profitability analysis, fundraising models, and board materials. Compare spending plans, acquisition costs, and ownership dilution to prepare budgets and assess financing needs.

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• Estimating cash runway under different scenarios
• Analyzing customer value and acquisition costs
• Planning fundraising and ownership dilution

Track competitors’ products, pricing, and customer wins or losses, then turn findings into sales comparison sheets, market positioning updates, and feature gap summaries that inform product planning and leadership decisions.

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• Mapping direct, indirect, and emerging competitors
• Preparing competitor comparison sheets for sales calls
• Analyzing why deals were won or lost

Build Python applications that collect live cryptocurrency prices, trades, and order books with Cryptofeed. Covers consistent data formats across exchanges, price comparisons, and writing incoming data to storage systems for monitoring and analysis.

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• Monitoring prices across cryptocurrency exchanges
• Analyzing order book depth
• Analyzing executed trade flows

Use SAELens to train and analyze sparse autoencoders, which break model activations into a small set of interpretable features. Explore pretrained features, evaluate reconstruction quality, troubleshoot training, and test how individual features influence generated text.

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• Exploring features in a pretrained SAE
• Training an SAE for a selected model layer
• Investigating inactive features and reconstruction errors

Research U.S. legal questions using Westlaw materials, including cases, statutes, and administrative decisions. Receive a written report analyzing relevant legal authorities, with support for questions covering up to three jurisdictions.

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• Researching how courts have ruled on a legal issue
• Checking claim elements and available defenses
• Examining how statutes and regulations are applied

Provide other skills with tools for generating and editing images, analyzing image content, and improving text through external APIs. This foundation passes inputs to backend services without preprocessing and returns results as text or JSON.

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• Adding image generation to another skill
• Editing reference images with written instructions
• Analyzing the contents of multiple images

Review C#/.NET code for about 50 inefficient API usage patterns across asynchronous work, memory, strings, collections, and I/O. Get exact occurrence counts, prioritized findings, and concrete fixes, with attention to frequently executed code.

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• Reviewing frequently executed C#/.NET code
• Finding unnecessary memory allocations
• Checking known performance pitfalls before release

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

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Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

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Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

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CRISPResso2 for analyzing CRISPR gene editing outcomes. Quantifies indels, HDR efficiency, and generates comprehensive editing reports. Use when analyzing amplicon sequencing data from CRISPR editing experiments to assess editing efficiency.

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Analyze dependencies for known security vulnerabilities and outdated versions. Use when auditing third-party libraries. Trigger with 'check dependencies', 'scan for vulnerabilities', or 'audit packages'.

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Process use when you need to work with database indexing. This skill provides index design and optimization with comprehensive guidance and automation. Trigger with phrases like "create indexes", "optimize indexes", or "improve query performance".

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Process perform on-chain analysis including whale tracking, token flows, and network activity. Use when performing crypto analysis. Trigger with phrases like "analyze crypto", "check blockchain", or "monitor market".

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Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".

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Execute use when you need to work with query optimization. This skill provides query performance analysis with comprehensive guidance and automation. Trigger with phrases like "optimize queries", "analyze performance", or "improve query speed".

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Analyze network latency and optimize request patterns for faster communication. Use when diagnosing slow network performance or optimizing API calls. Trigger with phrases like "analyze network latency", "optimize API calls", or "reduce network delays".

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Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with phrases like "analyze logs", "find slow requests", or "detect error patterns".

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