Skill UI

A detailed, comprehensive reference guide covering best practices for securing modern applications. This checklist spans network architecture, API design, data encryption, authentication protocols, and regulatory compliance (GDPR, HIPAA, PCI-DSS), ensuring robust security across the entire technology stack.

This skill guides you through a comprehensive, multi-phase interview to capture every necessary detail of a new project idea. It is designed to run BEFORE any code is written, forcing detailed specification gathering across purpose, features, data models, and technical constraints. The output is a clean, self-contained prompt.md file, ensuring subsequent development is based on solid, unambiguous requirements and preventing costly mistakes.

This skill processes raw, unstructured materials (e.g., conversations, reports, controversies) into highly structured, reusable casebook entries. It focuses on identifying core facts, defining mechanism chains, and mapping responsibility links while ensuring rigorous data anonymization. It is designed for deep knowledge management and pattern recognition, helping users build a reliable, reusable knowledge base for future professional analysis, rather than generating immediate advice.

This skill is designed for generating structured, insightful, and boundary-aware short answers, such as reader replies, editor responses, or consultation advice. It structures analysis by defining fact boundaries, providing structural judgment, offering necessary critique, and suggesting safe, low-risk next steps. It is primarily activated by the CrossFrame Suite, ensuring the output maintains a canonical Chinese semantic layer while providing professional, actionable advice.

This skill provides a highly rigorous framework for analyzing complex public issues, platform governance, and institutional compliance. It is designed to structure evidence boundaries, assess procedural justice, and track public commitments by synthesizing source ledgers and multiple data points. It is intended as a specialized sub-routine triggered by the main CrossFrame suite, not for standalone use. Key focus areas include source verification, identifying weak signals, and mitigating AI compliance performance risks.

A specialized quality gate skill designed to review complex, multi-source outputs generated by the CrossFrame framework. It rigorously checks reasoning fidelity, evidence boundaries, source anchors, and structural continuity. Use this when advanced verification of logical rigor and source integrity is required, ensuring outputs meet strict internal protocols and avoid common structural failures.

This skill provides explicit, pedagogical instruction on complex CrossFrame concepts. It is designed to move beyond simple definitions by structuring the output into plain language explanations, conceptual mapping, common misreading boundaries, real-world signals, and practical exercises. It is ideal for users who need deep, structured, and comprehensive understanding of complex theoretical frameworks.

A comprehensive guide to writing idiomatic and efficient Go code. It covers best practices for error handling (using `%w`), managing slices and maps, implementing robust concurrency with goroutines and channels, designing small composable interfaces, and avoiding common anti-patterns. Essential for improving code quality in Go projects.

A human-in-the-loop studio for iteratively tuning AI outputs or reviewing complex media/prose. It allows users to directly manipulate visual parameters (color, typography, layout) or annotate documents in real-time, moving beyond static comparison grids or vague prompts. Perfect for designers and content creators who need hands-on, visual feedback.

A powerful command-line tool for recording the macOS screen and capturing system audio simultaneously. Unlike QuickTime or standard `screencapture`, this tool captures raw display and system audio directly via ScreenCaptureKit, eliminating the need for complex virtual audio drivers (like BlackHole) or elevated permissions. It is designed for scripted content creation, automated demos, and complex recording scenarios where system audio is required via the CLI.

Generates a comprehensive, structured audit based on WCAG 2.2 guidelines. This tool assesses UI and designs across perceivable, operable, understandable, and robust criteria, covering visual, motor, and cognitive accessibility. It produces a prioritized checklist with pass/fail assessments and specific, actionable remediation suggestions for developers and designers.

This skill generates structured, professional summaries for clinical case presentations, handovers, and educational documentation. It supports established medical formats like SBAR and SOAP notes, ensuring all necessary components—from subjective complaints to recommendations—are systematically included. Designed for healthcare professionals to improve documentation clarity and facilitate seamless patient transitions. Note: This output is strictly for educational and documentation purposes and must not replace professional clinical judgment.