Skill UI

Analyzes text to determine emotional tone and polarity, classifying passages as positive, negative, or neutral; ideal for processing reviews, social media posts, surveys, or any feedback that requires opinion mining or emotion detection.

This powerful tool calculates detailed cryptocurrency tax obligations by processing transaction history from multiple exchanges. It supports various cost basis methods (FIFO, LIFO, HIFO) to accurately determine capital gains and losses. Key features include identifying staking, airdrop, and mining income, and generating comprehensive reports compatible with Form 8949, simplifying complex tax filing processes.

This utility implements comprehensive Cloud Workload Protection (CWPP) by monitoring compute workloads on cloud instances (EC2/GCE). It provides runtime security controls, detecting process anomalies, unauthorized binary execution, cryptomining activity, and suspicious network connections using AWS and Google APIs. Ideal for establishing robust security postures and meeting compliance requirements.

This skill automates the process of renting, managing, and terminating cloud GPU instances on vast.ai. It analyzes your AI/ML task—determining VRAM, required GPU count, and estimated runtime—and then searches for the most cost-effective and reliable GPU offers, presenting optimized options for your training workflow.

This advanced technique assists in precisely locating academic theses by combining key identifiers: university name, degree type, and year. Its core strength is resolving indirect university clues (e.g., determining a founding year from a literary work or historical event) first. This two-step resolution process ensures that the final search for the thesis is highly accurate, even when the university is described obliquely.

This comprehensive skill is designed to retrieve content from various Feishu cloud documents, returning the raw Markdown format. It provides advanced logic for handling Wiki URLs by first determining the actual document type (Docx, Sheet, Bitable) before calling the appropriate specialized tool. Furthermore, it guides the user on how to separately download and process embedded media like images, files, and whiteboards using dedicated media tools.

This internal agent skill automates the complex process of determining the most likely owner or team for a bug cluster. It follows a strict 6-level precedence model, starting with cached overrides, and sequentially querying sources like Service Owners, Oncall status, CODEOWNERS, recent assignees, and committers. The process includes staleness detection and confidence scoring, providing highly accurate and auditable routing recommendations for internal development triage.

This skill operates as a blunt, market-obsessed operating system, emulating the rigorous thought process of Marc Andreessen. It is designed to pressure-test ideas, ventures, and product strategies by strictly adhering to market-first principles (Market > Team > Product) and focusing solely on achieving Product/Market Fit (PMF). It rejects platitudes, refuses to validate premises, and is ideal for determining if a business concept has real market traction or if the venture is fundamentally flawed.

This methodology guides organizations through a comprehensive cybersecurity risk assessment using the NIST SP 800-30 framework. It systematically identifies threat sources, vulnerabilities, and potential threat events. By determining the likelihood and impact of these threats, the process calculates overall risk, resulting in a prioritized, defensible risk register. Essential for compliance (e.g., ISO 27001, HIPAA), system authorization, and strategic risk reporting.

This guide teaches security teams how to proactively detect and respond to unauthorized cryptocurrency mining operations across major cloud platforms (AWS, Azure). It utilizes a multi-layered approach by analyzing compute cost anomalies, monitoring GuardDuty findings, inspecting network traffic to known mining pools, and analyzing runtime process execution in EC2, ECS, and EKS environments.

This guide helps researchers assess the optimal venue for their work, determining if their project aligns best with AISTATS, or if it is better suited for major ML conferences (NeurIPS, ICML, ICLR), UAI, or specific statistics journals. It emphasizes the need for strong statistical foundations, inference guarantees, and the unique intersection of AI, ML, and statistics before starting the writing process.

This tool serves as the central entry point and orchestrator for drafting an American Political Science Review (APSR) manuscript. It guides authors through the complex academic publishing lifecycle by determining the paper's specific track (e.g., Regular Article, Synthesis, Registered Report) and its current developmental stage (e.g., Idea, Theory, Data Analysis). It does not draft content; rather, it routes the user to the most relevant sub-skill for the next step in the writing process.