Skill UI

This skill simulates a Data Protection Officer (DPO) audit, pressure-testing privacy compliance across six critical, Article-cited GDPR areas. It is essential for pre-annual audits, post-breach assessments, DPA investigations, and M&A due diligence, ensuring readiness across RoPA, lawful basis, DPIA, DSAR, and international data transfers.

This tool simulates a rigorous, relentless interview process designed to stress-test any plan, design, or architectural concept. It forces the user to walk through every decision branch, resolving dependencies one by one until a comprehensive, shared understanding is achieved. Ideal for developers and product managers needing to validate complex system designs or roadmaps.

Expert skill for building Model Context Protocol (MCP) servers and tools from scratch. Covers the full development lifecycle—from defining tool schemas and resources to implementation, testing, and publishing to registries. Supports robust patterns using TypeScript and Python for integrating custom capabilities into AI agents.

This comprehensive guide provides expert knowledge on implementing structured data and schema markup using schema.org standards. Learn how to correctly use JSON-LD to help search engines understand your content, enabling rich results like star ratings, FAQs, and product details. It covers best practices, common schema types (Article, Product, FAQPage), and essential validation methods for maximizing search visibility.

This skill automatically routes subtasks to the most cost-effective Claude model (Haiku, Sonnet, or Opus) based on complexity. It logs real token usage and cost per session, and includes an A/B testing feature to validate model tier savings against your actual workload, ensuring accurate cost control.

Simulates a comprehensive, multi-stage academic journal peer review process. This agent dynamically configures five expert reviewers (EIC, 3 peers, and a Devil's Advocate) to evaluate a paper across methodology, domain expertise, cross-disciplinary impact, and core arguments. It provides structured reports, editorial decisions, and revision roadmaps, supporting full reviews, post-revision verification, and calibration modes.

A comprehensive guide to production-grade patterns and common pitfalls when using Prisma ORM with TypeScript backends. Covers optimizing schema design, implementing complex queries, managing transactions, handling pagination strategies, and addressing critical traps like connection exhaustion in serverless environments.

A comprehensive guide covering advanced scripting for Rhinoceros 3D. This skill addresses multiple surfaces, including RhinoPython, VBScript (RhinoScript), and direct RhinoCommon (.NET). Use it to write production-quality scripts, automate complex modeling tasks, manipulate geometry (layers, blocks), build custom command macros, and interact with the Rhino environment efficiently.

This skill provides a scaffold for building complex, composable recommendation, ranking, and feed pipelines. It implements the robust six-stage pattern (Source→Hydrator→Filter→Scorer→Selector→SideEffect), which is the industry standard for determining "top K items." Use it for social feeds, content CMS ranking, RAG reranking, or any system needing complex candidate prioritization.

Generates a highly polished, self-contained single-page HTML landing page optimized for maximum conversion. It incorporates advanced features like 3D CSS animations, GSAP scroll effects, and mouse parallax depth. To ensure accuracy, the skill uses a structured intake process (product pitch, target audience, brand colors, and tone) to build a conversion-ready page that reflects the actual product, not generic boilerplate. Outputs a single, deployable HTML file.

A detailed technical workflow for inspecting complex 3D animation, rigging, and motion states within Blender. This skill moves beyond visual inspection by extracting structured data—such as bone transformations, world-space bounding boxes, ground contacts, and axis conventions—to accurately diagnose issues like foot sliding, rotation errors, or retargeting mismatches in professional animation pipelines.

This skill parses raw, verbose Simplicité log files from TXT format, filtering out noise and extracting only essential fields (e.g., timestamp, level, body). By converting logs into structured JSON, it significantly reduces the token size required for AI context optimization, making troubleshooting efficient and reliable.