Skill UI

Internal workflow to enable Dataverse tables for mobile offline profiles by setting IsAvailableOffline and ChangeTrackingEnabled flags on EntityMetadata, then publishing customizations. Used in Power Platform mobile app development to prepare tables for offline access and change tracking.

This skill estimates the download size and sync frequency cost of an offline profile before pushing it to users. It performs read-only diagnostics, verifying the profile, counting rows per table with scope filters, and calculating cache size. Useful for sanity checks before setup or assignment to prevent data cap surprises.

Configure offline mode for Power Apps mobile applications by creating Mobile Offline Profiles in Dataverse. This wizard handles table scope, relationships, columns, and sync frequency through a 3-gate approval flow. Supports iOS/Android native targets only. Validates project initialization and environment configuration before proceeding.

Distill video taste interviews into validated style packs, apply measured cadence to local footage, and export editable EDL/FCPXML timelines with provenance audits. All operations are local, deterministic, and offline.

A skill that captures Guixingren's AI technology media creation mindset, featuring Silicon Valley first-line perspectives, China-US dual-line narratives, rapid news aggregation structure, and AI community productization operations. Suitable for AI industry news writing, Silicon Valley reporting, China-US AI comparison analysis, developer tool reviews, and AI community operations, including hackathons, podcasts, and offline events.

Python exporter that sends OpenTelemetry traces, metrics, and logs to Azure Application Insights. Supports custom pipelines, sampling, Azure AD auth, offline storage, and sovereign clouds.

This tool mines offline Telegram Desktop chat exports (result.json) to identify unmet market needs and product opportunities. It uses chunked streaming to prevent memory crashes on large files and ensures verbatim quote grounding for accuracy. It applies cross-chat multiplicity laws to filter noise and hallucinations, supporting Russian and English lexicons for pain point detection.

Generates quick-access medical summary cards for emergencies, travel, or medical visits. Extracts critical data like allergies, medications, and implants. Supports multiple formats including HTML, JSON, and text for offline use or printing. Ensures rapid information access during critical situations.

This skill covers authorized hardware and embedded interface security research, including UART/JTAG discovery, debug-pad triage, secure-boot overview, and offline firmware analysis. It requires physical access and basic hardware tooling for security assessments on devices you own or are authorized to test.

An expert guide for deploying and optimizing Large Language Models (LLMs) entirely on local hardware. Mastering the entire local AI ecosystem, including inference engines like Ollama, vLLM, and llama.cpp. Provides deep knowledge on quantization formats (GGUF, EXL2, AWQ), VRAM calculation, and ensuring privacy-first, offline deployment for state-of-the-art models.

Cross-validate web research across at least two distinct search or retrieval capabilities, then produce an offline-checkable evidence ledger recording source diversity, claim-level confidence, explicit conflicts, and research gaps.

Use this skill for implementing or debugging network requests, API calls, and data fetching in React Native and Expo projects. Covers fetch API, React Query, SWR, caching strategies, offline support, and Expo Router data loaders. Essential for handling authentication, environment variables, and network errors effectively.