io.github.dotnet/roslyn/code-review

Review code changes in dotnet/roslyn for correctness, performance, and consistency with project conventions. Use when reviewing PRs or code changes.

io.github.jeremylongshore/claude-code-plugins-plus-skills/coreweave-deploy-integration

Deploy inference services on CoreWeave with Helm charts and Kustomize. Use when deploying multi-model inference, managing GPU deployments at scale, or templating CoreWeave manifests. Trigger with phrases like "deploy coreweave", "coreweave helm", "coreweave kustomize", "coreweave deployment patterns".

io.github.home-assistant/core/ha-review

Reviews Home Assistant code changes and provides constructive feedback. Should be used when a review is requested to provide a consistent review behavior and output format. This skill can be used for code reviews in general, not just for GitHub pull requests.

io.github.jeremylongshore/claude-code-plugins-plus-skills/figma-deploy-integration

Deploy Figma-powered applications to Vercel, Cloud Run, and Fly.io. Use when deploying webhook receivers, design token APIs, or Figma-connected web apps to production platforms. Trigger with phrases like "deploy figma", "figma Vercel", "figma production deploy", "figma Cloud Run".

io.github.Raishin/vanguard-frontier-agentic/css-architecture-design-system-review

Review CSS for specificity and cascade-layer discipline, design-token (custom-property) conformance, and responsive strategy correctness (container queries vs. media queries), catching specificity wars, hardcoded-value token drift, and non-reflowing layouts that fail WCAG 1.4.10/1.4.4 before they compound into unmaintainable stylesheets.

io.github.crbnos/carbon/writing-skills

House guide for creating or editing agent skills in this repo (.ai/skills/). Use when writing a new skill, restructuring an existing one, or reviewing skills for quality. Covers the frontmatter contract, the install wiring, the house template, and the weak-executor writing rules every Carbon skill follows.

io.github.ruby-git/ruby-git/refactor-command-to-commandlineresult

Migrates a command class that still performs parsing or custom execution logic to return raw Git::CommandLineResult, moving parsing to facade/parser layers. Use during architectural redesign refactoring.

io.github.microsoft/skills/deploy-model

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

io.github.nekomangaorg/Neko/maestro

Orchestrates macro-level UI architecture, complex Jetpack Compose structures, and screen-to-screen flows. Use this skill to implement adaptive layouts (WindowSizeClass), migrate to type-safe Navigation Compose graphs, design cross-module Design Systems, wire complex screen-level state (MVI/MVVM), or orchestrate deep links and multi-screen workflows.

io.github.UnicomAI/wanwu/bsession

Browser automation — setup the bsession environment, fetch info from a website (one-shot), create scripted automations (one-shot or recurring), or debug existing sessions. Works from any repo.

io.github.UnicomAI/wanwu/browser-pc

Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications.

io.github.UnicomAI/wanwu/browser-automation

Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications.

io.github.Kentico/xperience-by-kentico-kenticopilot/automation-action-create

Implements a custom automation process action in Xperience by Kentico. Reviews project conventions and the action API, confirms the action's behavior and properties with the user, then emits the action class, the optional properties class with form-component annotations, and the assembly-level RegisterAutomationAction registration.

io.github.getsentry/sentry/design-system

Guide for using Sentry's layout and text primitives. Use when implementing UI components, layouts, or typography. Enforces use of core components over styled components.

io.github.Asymmetric-al/core/nextjs

Build Next.js 16 apps with App Router, Server Components/Actions, Cache Components ("use cache"), and async route params. Includes proxy.ts and React 19.2. Prevents 25 documented errors. Use when: building Next.js 16 projects, or troubleshooting async params (Promise types), "use cache" directives, parallel route 404s, Turbopack issues, i18n caching, navigation throttling.

io.github.Zafer-Liu/Data-Analysis-Agent/sql

使用 SQL 安全查询当前已选择的数据表

io.github.citypaul/.dotfiles/typescript-strict

TypeScript strict mode patterns including schema-first development, branded types, type vs interface guidance, and tsconfig strict flags. Use when writing TypeScript code, defining types or schemas, or reviewing type safety. For immutability and pure function patterns, see the functional skill.

io.github.OpenHands/extensions/kubernetes

Set up and manage local Kubernetes clusters using KIND (Kubernetes IN Docker). Use when testing Kubernetes applications locally or developing cloud-native workloads.

io.github.cosmix/loom/loom-kubernetes

Kubernetes deployment, cluster architecture, security, and operations. Use for manifests, Helm charts, RBAC, network policies, operators/CRDs, PodSecurityStandards, troubleshooting, and production best practices.

io.github.NVIDIA/Model-Optimizer/deployment

Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible API endpoint using vLLM, SGLang, or TRT-LLM. Use when user says "deploy model", "serve model", "start vLLM server", "launch SGLang", "TRT-LLM deploy", "AutoDeploy", "benchmark throughput", "serve checkpoint", or needs an inference endpoint from a HuggingFace or ModelOpt-quantized checkpoint. Do NOT use for quantizing models (use ptq) or evaluating accuracy (use evaluation).

io.github.K-Dense-AI/scientific-agent-skills/database-lookup

Query documented public database APIs with explicit endpoints, filters, pagination, and provenance. Use when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.

io.github.onyx-dot-app/onyx/browser

Core browser usage guide. Read this before running any browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.

io.github.nukeop/nuclear/writing-plugins

Use when writing, scaffolding, or modifying Nuclear plugins. Covers plugin structure, manifest, entry point, provider types, available APIs, and publishing. Trigger phrases include "create a plugin", "write a plugin", "plugin scaffold", "streaming provider", "metadata provider".

io.github.redis/node-redis/maintainer-review

Review a GitHub issue or pull request URL as a node-redis maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another design, and worth maintainer and contributor effort. Use when assessing issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverability or usage gap, judging whether a PR is worth bringing to mergeable quality, comparing open PRs or alternative designs, separating code quality from repository readiness, or drafting a concise maintainer assessment. When closure, additional evidence, or code changes should be requested, also produce a polite, concise, complete, copy-paste-ready maintainer comment.