Skill UI

This tool performs comprehensive safety scanning on untrusted inputs, such as user submissions, API payloads, or webhook data. It detects sophisticated threats like prompt injection, jailbreak attempts, and adversarial attacks using advanced AI defense mechanisms, ensuring data integrity and security before model processing or execution.

This comprehensive skill provides best practices for secure coding across multiple domains. It guides developers on managing secrets, validating user input, preventing SQL injection, implementing robust authentication and authorization (including RLS), and mitigating XSS attacks. Use this when handling sensitive data, APIs, or user-generated content to ensure the highest level of security.

This guide covers essential security best practices for Spring Boot applications. Learn how to implement robust authentication (JWT, OAuth2), authorization using method security, secure input validation, prevent SQL injection, manage secrets, and configure vital security headers (CORS, CSRF). Essential for building production-ready, secure Java backend services.

This example demonstrates unsafe or malicious review data inputs, specifically designed for calibration and security testing. It simulates prompt injection attacks and must only be used in controlled environments to validate secure data processing and system robustness.

This skill summarizes user-provided input into one concise paragraph. It is specifically designed to enhance E2E (End-to-End) coverage testing within development environments, such as Agent Builders. The generated summary ensures comprehensive content representation and must include the E2E_SUMMARY_SKILL_PASS marker for validation.

Automatically converts unstructured brand guidelines, style guides, and restriction lists into highly structured, enforceable markdown files. This tool ensures brand voice, messaging, and compliance rules are consistently applied across all content modules, maintaining brand integrity from initial input to final output. Ideal for marketing teams and content creators needing a single source of truth for brand rules.

This tool accesses a brand's cumulative intelligence graph to retrieve, rank, and synthesize relevant marketing learnings. By inputting a context (channel, audience, objective, etc.), it generates an actionable playbook that informs current decisions using past validated insights, eliminating the need for manual searching through old reports. It handles confidence thresholds, time ranges, and identifies conflicting patterns.

This guide outlines the mandatory data and code deposit policy for articles published in the Journal of Applied Econometrics (JAE). Authors must submit a complete, non-confidential set of input data (plain ASCII/CSV), programs that replicate every result, and a detailed README file. It emphasizes strict adherence to archival format rules, ensuring the research is fully reproducible for the academic community.

This skill provides detailed guidance on assessing a research paper's alignment with the scope of quantitative economics and technical economics journals. It helps determine if the core contribution lies in advanced quantitative methods, econometrics, efficiency measurements (TFP, DEA), or input-output analysis, guiding authors toward the most suitable academic publication venue.

This guide provides essential knowledge for selecting and defending data sources for advanced research in international economics. It emphasizes the critical need for data to possess a 'global attribute,' covering trade flows, Global Value Chains (GVC), and cross-country comparisons. Key data types include micro-level customs data (firm-product-destination), cross-country panels (WDI, IMF), and global input-output tables (WIOD/ADB MRIO) for GVC decomposition.

This skill is designed for building complex, audit-ready financial models in Excel. Use it for 3-statement projections, DCF valuation, LBO analysis, unit economics, or advanced scenario planning. It enforces professional standards like the three-zone architecture (Inputs, Calculation, Outputs), strict formula discipline, and robust auditing gates, ensuring the output is suitable for high-stakes decision-making.

This skill processes unstructured, rambling, stream-of-consciousness input (like dictation or brainstorming) into a highly structured 'echo' audit. It captures the user's core mission, locked decisions, open questions, and all model inferences, ensuring the user verifies the model's belief, not just the stated doubts. Ideal for refining fuzzy ideas before committing to work.