Skill UI

This guide helps authors sharply frame their econometric research contributions, specifically tailored for high-impact academic journals like The Econometrics Journal (EctJ). It enforces a strict four-part structure: identifying failure modes of incumbent methods, stating the smallest sharp advance, detailing the applied payoff, and establishing scope guardrails. This ensures the core novelty and practical value are immediately obvious to reviewers.

A comprehensive guide for academic researchers on structuring the 'Data and Sample' section of manuscripts for high-impact journals. It details requirements for database naming, variable definition using calculation formulas, descriptive statistics reporting (including winzorization and quantiles), and establishing full, reproducible sample selection trails. Essential for ensuring methodological rigor and passing peer review.

A comprehensive guide for qualitative theory-building, covering multi-case comparison, grounded theory, and advanced methodological rigor. Learn how to structure your study by defining case selection logic, conducting multi-level coding (open, axial, selective), ensuring theoretical saturation, and establishing trustworthiness through triangulation, member checking, and audit trails. Ideal for papers built inductively from interviews or archives.

Designed for regulated environments (GxP/GCP), this skill generates and verifies audit trails compliant with 21 CFR Part 11 standards. It ensures every data processing step leaves an attributable, time-stamped, and tamper-evident record, providing electronic signatures and robust data integrity checks (ALCOA+). It is essential for clinical trials and regulated data governance.

This module provides a lazy adapter registry to seamlessly integrate OpenMed's clinical PII detection with major NLP frameworks like Microsoft Presidio, spaCy, and LangChain. It allows users to use OpenMed for enhanced PII recall, merge spans, or implement on-device PHI redaction guardrails without rewriting entire pipelines.

Generates formal, structured EU AI Act compliance assessment reports for legal files, audit trails, and regulatory inquiries. Supports multiple report formats, adaptive intake of system details, consistency validation, and cross-checks against regulation (EU) 2024/1689. Suitable for documentation and governance use.

This skill covers essential framework patterns for modern Ruby on Rails applications (Rails 7.1+ and 8.x). It includes directory contracts, skinny controllers, service objects, form objects, query objects, background jobs, ViewComponent, Hotwire, and the Rails 8 Solid stack. Use this when building or reviewing Rails apps, controllers, models, services, jobs, or views to ensure maintainability and best practices.

Autonomous DevSecOps & FinOps guardrails that review Linux kernel patches for memory safety, analyze Terraform cost drifts to prevent bill spikes, and translate natural language security intent into hardened Kubernetes policies. Integrates advanced AI reasoning into the SDLC for high-stakes audits and CI/CD quality gating.

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Ensures graceful degradation and clear failure modes. Capable of agent architecture design, tool calling, memory management, and complex task decomposition. Includes knowledge of ReAct loops, Plan-and-Execute patterns, and safety guardrails.

Secure AI coding agents such as Claude Code, Cursor, Codex and Copilot with permission boundaries, secret scanning, sandbox isolation, command allowlists and code review gates for team environments.

A 98-rule design specification for building AI-native CLI tools across three certification levels. Covers structured JSON output, error handling, input contracts, exit codes, safety guardrails, self-description, and agent feedback loops.

This skill helps secure Large Language Model (LLM) and AI deployments against various threats including prompt injection, data exfiltration, model theft, and supply chain attacks. It covers implementing guardrails, output filtering, PII scrubbing, and API security measures to ensure compliance with standards like SOC2 or ISO 27001.