gh-pr-review
Review a GitHub Pull Request as a responsible project owner using the `gh` CLI. Use when the user provides a PR URL (e.g. https://github.com/ORG/REPO/pull/N) or a PR number for the current git repo (prefer upstream, else origin) and wants an owner-grade review document `review-N.md` written in Chinese with copy-pastable GitHub comments in English. Scope the review to lines changed by the PR (do not nitpick unrelated pre-existing code), but apply best practices and flag any clear bugs, security issues, or CI failures caused by the change.
gmc
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handoff
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issue-cleaner-master
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nobs-review
Multi-model code review for pull requests and git diffs. Use when asked to "review my code", "review this PR", "review my changes", "find reviewers", or "run a code review". Suggests appropriate reviewers based on which files changed, runs iterative review rounds across multiple AI models, and tracks findings across sessions.
repo-skill-generator
Generate repo-local coding and review skills from a repository's git history and GitHub PR review activity. Use when asked to create, refresh, or update repository-specific coding/review skills, learn from PRs, analyze commit history, extract coding patterns, or generate coding guidelines for the current repo or a specific module.
ship
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simplify
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wechat-tech-article
撰写微信公众号技术文章的结构化工作流。使用场景：用户要写一篇公众号文章、需要创建文章目录、组织素材、迭代草稿。强制遵循 blogs/wechat/README.md 的命名规范和目录结构。
cloud-run-quickstart
Get started deploying applications to Google Cloud Run. Use when a user wants to deploy their app, share their app by deploying to a cloud service, make their app accessible on the internet, or needs help choosing between Cloud Run deployment methods (no-build, buildpacks, Dockerfile, or container image).
github-spec-kit
Expert guidance for Spec-Driven Development using the GitHub Spec Kit. Use when the user wants to initialize a project, create specifications, plan implementations, or execute tasks based on the Spec Kit workflow. Triggers on "spec kit", "specify", "create spec", "spec-driven development".
stock-qualitative-analysis
Create comprehensive and deeply analyzed buy-side style qualitative stock analysis reports from filings and public sources with strict citations, chapter-by-chapter workflow, and placeholders for missing evidence. Emphasizes active extraction and detailed analysis of SEC information. Use for Chinese qualitative analysis of listed companies.
effect-collections-datastructs
Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines.
effect-concurrency-fibers
Concurrency with Effect.all, forEach concurrency, Fiber lifecycle, race and timeouts. Use for parallelizing tasks safely.
effect-config-schema
Config loading and Schema validation/transform. Use when defining configuration or validating inputs.
effect-errors-retries
Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.
effect-foundations
Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.
effect-http-routing
HTTP server, routing, JSON responses and dependencies via layers. Use when wiring endpoints and services.
effect-index
Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.
effect-layers-services
Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.
effect-patterns-hub
Complete catalog of 130+ Effect-TS patterns from EffectPatterns repository. Use when looking for specific implementation patterns, best practices, or real-world examples. Complements other skills with concrete, curated patterns.
effect-queues-background
Queue and PubSub patterns, background fibers, and graceful shutdown. Use for decoupling producers/consumers.
effect-resources-scope
Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.
effect-sql-db
Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.
effect-streams-pipelines
Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.
effect-testing-mocking
Testing patterns with layers, mocks, and deterministic time. Use when preparing testable services and small smoke tests.
effect-time-tracing-logging
Time with Clock/Duration, tracing spans, and structured logging. Use for time-based logic, deadlines, and observability.
prompt-distiller
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create-release-tags
Use when releasing new versions for Debian projects with optional linglong.yaml support, updating debian/changelog, incrementing patch versions automatically, and creating git commits
github-review-report
Use when generating Chinese format Excel reports from GitHub code reviews with AI analysis and filtering by date, branch, or reviewers
qt-compatibility-build
Use when maintaining Debian packages that need Qt5/Qt6 dual support, CMakeLists.txt has hard-coded Qt5/Qt6 or DTK5/DTK6 versions, or projects need dynamic library linking based on detected Qt version for deepin V25/V20 compatibility
qt-cpp-bug-fixer
Use when encountering compilation errors, runtime crashes, memory leaks, UI issues, or threading problems in Qt C++ projects. Also use when MOC errors, undefined vtable references, missing Q_OBJECT macros, or signal-slot connection failures occur.
qt-translation-assistant
Use when user requests translating Qt project localization files (TS files), automating translation workflows, or setting up multilingual support for Qt applications. This skill uses parallel processing with ThreadPoolExecutor to translate TS (Translation Source) files efficiently.
qt-unittest-build
为 Qt 项目生成单元测试框架。包含完整依赖、子 Agent 和固定脚本，一键生成 autotests 测试框架。
qt-unittest-make
Use when users request generating unit tests for Qt modules or classes, completing test cases, or creating test files. Supports module batch generation and incremental completion.
sentry-cocoa-sdk
Full Sentry SDK setup for Apple platforms (iOS, macOS, tvOS, watchOS, visionOS). Use when asked to "add Sentry to iOS", "add Sentry to Swift", "install sentry-cocoa", or configure error monitoring, tracing, profiling, session replay, or logging for Apple applications. Supports SwiftUI and UIKit.
sentry-create-alert
Create Sentry alerts using the workflow engine API. Use when asked to create alerts, set up notifications, configure issue priority alerts, or build workflow automations. Supports email, Slack, PagerDuty, Discord, and other notification actions.
sentry-dotnet-sdk
Full Sentry SDK setup for .NET. Use when asked to "add Sentry to .NET", "install Sentry for C#", or configure error monitoring, tracing, profiling, logging, or crons for ASP.NET Core, MAUI, WPF, WinForms, Blazor, Azure Functions, or any other .NET application.
sentry-fix-issues
Find and fix issues from Sentry using MCP. Use when asked to fix Sentry errors, debug production issues, investigate exceptions, or resolve bugs reported in Sentry. Methodically analyzes stack traces, breadcrumbs, traces, and context to identify root causes.
sentry-go-sdk
Full Sentry SDK setup for Go. Use when asked to "add Sentry to Go", "install sentry-go", "setup Sentry in Go", or configure error monitoring, tracing, logging, metrics, or crons for Go applications. Supports net/http, Gin, Echo, Fiber, FastHTTP, Iris, and Negroni.
sentry-nextjs-sdk
Full Sentry SDK setup for Next.js. Use when asked to "add Sentry to Next.js", "install @sentry/nextjs", or configure error monitoring, tracing, session replay, logging, profiling, AI monitoring, or crons for Next.js applications. Supports Next.js 13+ with App Router and Pages Router.
sentry-otel-exporter-setup
Configure the OpenTelemetry Collector with Sentry Exporter for multi-project routing and automatic project creation. Use when setting up OTel with Sentry, configuring collector pipelines for traces and logs, or routing telemetry from multiple services to Sentry projects.
sentry-pr-code-review
Review a project's PRs to check for issues detected in code review by Seer Bug Prediction. Use when asked to review or fix issues identified by Sentry in PR comments, or to find recent PRs with Sentry feedback.
sentry-python-sdk
Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
sentry-react-native-sdk
Full Sentry SDK setup for React Native and Expo. Use when asked to "add Sentry to React Native", "install @sentry/react-native", "setup Sentry in Expo", or configure error monitoring, tracing, profiling, session replay, or logging for React Native applications. Supports Expo managed, Expo bare, and vanilla React Native.
sentry-react-sdk
Full Sentry SDK setup for React. Use when asked to "add Sentry to React", "install @sentry/react", or configure error monitoring, tracing, session replay, profiling, or logging for React applications. Supports React 16+, React Router v5-v7, TanStack Router, Redux, Vite, and webpack.
sentry-ruby-sdk
Full Sentry SDK setup for Ruby. Use when asked to add Sentry to Ruby, install sentry-ruby, setup Sentry in Rails/Sinatra/Rack, or configure error monitoring, tracing, logging, metrics, profiling, or crons for Ruby applications. Also handles migration from AppSignal, Honeybadger, Bugsnag, Rollbar, or Airbrake. Supports Rails, Sinatra, Rack, Sidekiq, and Resque.
sentry-sdk-skill-creator
Create a complete Sentry SDK skill bundle for any platform. Use when asked to "create an SDK skill", "add a new platform skill", "write a Sentry skill for X", or build a new sentry-<platform>-sdk skill bundle with wizard flow and feature reference files.
sentry-setup-ai-monitoring
Setup Sentry AI Agent Monitoring in any project. Use when asked to monitor LLM calls, track AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI/Pydantic AI. Detects installed AI SDKs and configures appropriate integrations.
sentry-svelte-sdk
Full Sentry SDK setup for Svelte and SvelteKit. Use when asked to "add Sentry to Svelte", "add Sentry to SvelteKit", "install @sentry/sveltekit", or configure error monitoring, tracing, session replay, or logging for Svelte or SvelteKit applications.
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