泠音
Community@lynricsy · China
Currently enrolled in the Bachelor of Science in Programs in Harbin Institute of Technology.
Agent Skills by 泠音
Showing 69 vetted skills indexed across 2 GitHub repositories.
Lynricsy{{name}}
Scaffolds new Skill units with standardized SKILL.md, provenance, and evaluation files.
Lynricsyapple
Implements and reviews SwiftUI, Swift concurrency, and SwiftData code for Apple platforms.
Lynricsyterraform
Manages infrastructure as code with Terraform and OpenTofu modules, state, and providers.
Lynricsyunity
Develops Unity 6 games with C# scripting, URP rendering, physics, and CI builds.
Lynricsycsharp-dotnet
Develops and reviews C# and .NET applications across ASP.NET Core, Blazor, MAUI, and EF Core.
Lynricsytest-driven-development
Drives implementation and bug fixes through test-first red-green-refactor cycles.
Lynricsysvelte
Develops Svelte 5 and SvelteKit 2 applications with runes, routing, and server data flows.
Lynricsygo
Develops, tests, reviews, and profiles Go code using the standard toolchain and modern idioms.
Lynricsytechnical-writing
Writes and audits READMEs, documentation pages, ADRs, and changelogs against source code.
Lynricsyai-engineering
Reviews and builds LLM prompts, tool-using agent loops, RAG pipelines, and model evaluations.
Lynricsymodel-serving
Benchmarks and tunes deployed LLM inference servers for latency, throughput, and capacity.
Lynricsyreact-native
Develops React Native and Expo apps covering performance, navigation, native modules, and EAS updates.
Lynricsyoffice
Creates, edits, and converts Word, PowerPoint, Excel, and PDF documents with render-based verification.
Lynricsypython
Develops Python projects with uv, ruff, pytest, typing, asyncio, and packaging workflows.
Lynricsyredis
Designs and operates Redis data structures, caching, streams, and clusters.
Lynricsyazure
Manages Azure architecture, Bicep deployments, identity, and cloud services.
Lynricsylinux-ops
Diagnose and safely change Linux hosts across systemd, storage, networking, and backup recovery.
Lynricsygenerative-media
Integrates AI image, video, speech, and music generation and transcription models into production pipelines.
Lynricsygit-workflow
Manages local Git branches, worktrees, commits, merges, conflicts, and history recovery.
Lynricsytypescript
Designs TypeScript types, fixes type errors, and configures typed package builds.
Lynricsyharmonyos
Develops HarmonyOS NEXT applications with ArkTS, ArkUI, and DevEco tooling.
Lynricsytauri
Builds Tauri v2 desktop apps with Rust IPC, capabilities, plugins, and signed updater packaging.
Lynricsyvue
Develops Vue 3 and Nuxt applications with Composition API, Pinia, and Vue Router.
Lynricsychrome-extension
Builds and reviews Chrome extensions with Manifest V3, service workers, and content scripts.
Frequently Asked Questions About 泠音
FAQPage SchemaWhat tasks can I accomplish with Lynricsy's skill registry?▼
The registry covers full-stack development in Go, Rust, C#, Java Spring, and TypeScript; infrastructure as code with Terraform and Bicep; database design for PostgreSQL, MongoDB, Redis, and SQLite; plus LLM engineering tasks like RAG pipelines, model serving benchmarks, and LoRA fine-tuning.
Who is the target audience for these skills?▼
Software engineers, platform architects, and DevOps practitioners building across web, mobile, desktop, and game engines. It suits developers needing concrete guidance on specific stacks such as ASP.NET Core, Unity, Unreal, HarmonyOS ArkTS, WeChat Mini Programs, or Cloudflare Workers.
How are the skills structured and installed?▼
Each skill ships as a folder with native frontmatter declaring name, description, license, author, version, and category (platform, framework, task, or meta). Skills are routed by their one-sentence descriptions, letting a host environment select the relevant skill per task.
What license and cost apply to these skills?▼
All skills are released under the MIT license with upstream attributions documented in NOTICE.md. They are free to use, modify, and redistribute, authored under the HyperSkills metadata banner with dated version stamps.
What prerequisites do the skills assume?▼
Prerequisites are stack-specific: the containers skill assumes Docker and Kubernetes; cloud skills assume AWS, Azure, or GCP accounts; database skills assume running PostgreSQL, Redis, or MongoDB instances; and ml-training assumes GPU access for distributed training and LoRA fine-tuning.