Discovers, searches, and installs skills from multiple AI agent skill marketplaces (400K+ skills) using the SkillKit CLI. Supports browsing official partner collections (Anthropic, Vercel, Supabase, Stripe, and more) and community repositories, searching by domain or technology, and installing specific skills from GitHub. Use when the user wants to find, browse, or install new agent skills, plugins, extensions, or add-ons; asks 'is there a skill for X' or 'find a skill for X'; wants to explore a skill store or marketplace; needs to extend agent capabilities in areas like React, testing, DevOps, security, or APIs; or says 'browse skills', 'search skill marketplace', 'install a skill', or 'what skills are available'.

Backend specialist for APIs, databases, authentication with clean architecture (Repository/Service/Router pattern). Use for API, endpoint, REST, database, server, migration, and auth work.

Guide for coordinating PM, Frontend, Backend, Mobile, and QA agents on complex projects via CLI. Use for manual step-by-step coordination and workflow guidance.

Bug diagnosis and fixing specialist - analyzes errors, identifies root causes, provides fixes, and writes regression tests. Use for bug, debug, error, crash, traceback, exception, and regression work.

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Use when setting up or optimizing developer workflows in a monorepo, managing mise tasks, git hooks, CI/CD pipelines, database migrations, or release automation. Invoke for development environment setup, build automation, testing workflows, and release coordination.

Frontend specialist for React, Next.js, TypeScript with FSD-lite architecture, shadcn/ui, and design system alignment. Use for UI, component, page, layout, CSS, Tailwind, and shadcn work.

Mobile specialist for Flutter, React Native, and cross-platform mobile development. Use for mobile app, Flutter, Dart, iOS, Android, Riverpod, and widget work.

Intent-based observability + traceability router across layers, boundaries, and signals. Routes to vendor-specific skills via category taxonomy; owns transport tuning, meta-observability, incident forensics. Use for observability, traceability, telemetry, APM, RUM, metrics, logs, traces, profiles, SLO, incident forensics, tracing architecture work.

Automated multi-agent orchestrator that spawns CLI subagents in parallel, coordinates via MCP Memory, and monitors progress. Use for orchestration, parallel execution, and automated multi-agent workflows.

Product manager that decomposes requirements into actionable tasks with priorities and dependencies. Use for planning, requirements, specification, scope, prioritization, task breakdown, and ISO 21500, ISO 31000, or ISO 38500-aligned planning recommendations.

Infrastructure-as-code specialist for multi-cloud provisioning using Terraform across any provider (AWS, GCP, Azure, Oracle Cloud). Use for terraform plan/apply, state management, compute, databases, storage, networking, IAM, OIDC, cost optimization, policy-as-code, ISO/IEC 42001 AI controls, ISO 22301 continuity, and ISO/IEC/IEEE 42010 architecture documentation.

Orchestrates AWS Amplify Gen 2 workflows for building full-stack apps with React, Next.js, Vue, Angular, React Native, Flutter, Swift, or Android. Use when user wants to BUILD, CREATE, or DEPLOY Amplify projects, add authentication, data models, storage, GraphQL APIs, Lambda functions, or deploy to sandbox/production. Do NOT invoke for conceptual questions, comparisons, or troubleshooting unrelated to active development.

Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to AWS, use deploy-on-aws plugin instead.

Migrate workloads from Google Cloud Platform to AWS. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, Google Cloud migration. Runs a 5-phase process: discover GCP resources from Terraform files, clarify migration requirements, design AWS architecture, estimate costs, and plan execution.

Before starting this workflow, verify:

Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.

Initialize evo for the current repository by exploring the codebase, proposing unexplored optimization dimensions, constructing the benchmark inside a baseline worktree, and running the first experiment. Use when the user invokes /evo:discover, mentions setting up evo, wants to instrument a codebase for autonomous optimization, or asks to start a new evo run on a project.

Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure Load Testing with VNets/private endpoints, JMeter/Locust/Playwright, CI/CD pipelines, or Playwright Workspaces, and other Azure App Testing related development tasks. Not for Azure Test Plans (use azure-test-plans), Playwright Workspaces (use azure-playwright-workspaces), Azure DevOps (use azure-devops), Azure App Service (use azure-app-service).

Expert knowledge for Azure Business Process Tracking development including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and other Azure Business Process Tracking related development tasks. Not for Azure Monitor (use azure-monitor), Azure Logic Apps (use azure-logic-apps), Azure Data Factory (use azure-data-factory), Azure Machine Learning (use azure-machine-learning).

Expert knowledge for Azure Confidential Ledger development including decision making, security, integrations & coding patterns, and deployment. Use when configuring Entra ID/RBAC, client certs, node attestation, .NET SDK, JavaScript UDFs, or ARM/Terraform deployments, and other Azure Confidential Ledger related development tasks. Not for Azure Confidential Computing (use azure-confidential-computing), Azure Key Vault (use azure-key-vault), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Cloud Hsm (use azure-cloud-hsm).

Expert knowledge for Azure Deployment Environments development including troubleshooting, best practices, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADE catalogs, environment.yaml schemas, custom images, RBAC/roles, or CI/CD image pipelines, and other Azure Deployment Environments related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Dev Box (use azure-dev-box), Azure Integration Environments (use azure-integration-environments), Azure Managed Applications (use azure-managed-applications).

Expert knowledge for Azure Dev Box development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Dev Box images, catalogs, policies, schedules, RBAC/SSO access, or VS Code dev tunnel workflows, and other Azure Dev Box related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).

Expert knowledge for Azure DevOps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Boards/work items, pipelines, repos, Analytics/OData/Power BI, or Azure DevOps Server deployments, and other Azure DevOps related development tasks. Not for Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).

Expert knowledge for Azure DevTest Labs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing DevTest Labs VMs, images/artifacts, ARM/CLI automation, RBAC/Key Vault security, or hub-spoke lab setups, and other Azure DevTest Labs related development tasks. Not for Azure Dev Box (use azure-dev-box), Azure Lab Services (use azure-lab-services), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).

Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring lab plans, VM templates/schedules, VNet-integrated labs, GPU/nested virtualization, or Canvas/Teams integration, and other Azure Lab Services related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).

Expert knowledge for Azure Pipelines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring YAML pipelines, self-hosted agents, service connections, Key Vault secrets, or Web App/Kubernetes deploys, and other Azure Pipelines related development tasks. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).

Expert knowledge for Azure Resource Manager development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when authoring Bicep/ARM templates, CI/CD deployments, template specs, deployment stacks, or ARM REST/CLI automations, and other Azure Resource Manager related development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Policy (use azure-policy), Azure Portal (use azure-portal), Azure Resource Graph (use azure-resource-graph).

Expert knowledge for Azure Test Plans development including limits & quotas, security, and integrations & coding patterns. Use when configuring custom test run fields, managing test access, or automating suites via tcm.exe and test configs, and other Azure Test Plans related development tasks. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure App Testing (use azure-app-testing).

Implements keyboard, directional, and scene-level focus behavior across SwiftUI and UIKit. Use when managing @FocusState, defaultFocus, focused values, focusable interactions, focus sections, tvOS geometric focus model and Siri Remote navigation, watchOS Digital Crown focus, visionOS gaze/hover and RealityKit InputTargetComponent, macOS key view loop and Full Keyboard Access, focus restoration after presentation changes, custom focus routing with UIFocusGuide, or debugging focus with UIFocusDebugger.

Manages iOS Simulator devices and tests app behavior using xcrun simctl. Covers device lifecycle (create, boot, shutdown, erase, delete), app install and launch, push notification simulation, location simulation, permission grants via privacy subcommand, deep link testing via openurl, status bar overrides, screenshot and video recording, log streaming with os_log filtering, get_app_container paths, and #if targetEnvironment(simulator) compile-time checks. Use when creating or managing simulator devices, testing push notifications without APNs, simulating GPS locations, granting or resetting privacy permissions, capturing screenshots or screen recordings from the command line, streaming device logs, debugging simulator boot failures, troubleshooting CoreSimulator issues, or checking simulator hardware limitations.

Writes and migrates tests using the Swift Testing framework with @Test, @Suite, #expect, #require, confirmation, parameterized tests, test tags, traits, withKnownIssue, XCTest UI testing, XCUITest, test plan, mocking, test doubles, testable architecture, snapshot testing, async test patterns, test organization, and test-driven development in Swift. Use when writing or migrating tests with Swift Testing framework, implementing parameterized tests, working with test traits, converting XCTest to Swift Testing, or setting up test organization and mocking patterns.

Automatically generate unit tests based on source code, supporting multiple languages and testing frameworks.

Reaper is a CLI-based MITM HTTPS proxy for application security testing. It intercepts, logs, and allows inspection of HTTP/HTTPS traffic flowing through it. Use it to capture live request/response pa

Determine whether a security finding is a true positive or false positive. Produce a determination with supporting evidence.

Guides EGC and employee advocacy strategy for AI/SaaS products. EGC is content created by employees (social posts, videos, blogs, testimonials) that reflects authentic workplace and product insights.

Guides LinkedIn post copy creation and optimization. Use for generating publish-ready professional content. Suitable for copy agents and design agents (image specs).

Use when building an Electrobun app for distribution, setting up code signing, understanding platform-specific build requirements, or diagnosing build failures. Covers dev/canary/stable environments, all three platforms, toolchain prerequisites, artifact output, and CI/CD setup.

Use when working with the Electrobun Kitchen Sink testing app — running tests, understanding the feature manifest, navigating the test runner UI, operating playground windows, or adding new test coverage. Also activates for questions about the defineTest() pattern, AUTO_RUN mode, or the manifest generator/validator scripts.

Cross-platform specifics for Electrobun apps — platform support matrix, Linux/Windows/macOS behavioral differences, CEF requirements by platform, events API, security patterns, CI release matrix, artifact naming, and common pitfalls. Use when targeting multiple platforms, handling platform-specific bugs, setting up CI, or understanding webview differences.

Use when writing Electrobun tests, adding test coverage to the Kitchen Sink, implementing the defineTest() pattern, generating new test suites, understanding what the kitchen sink tests, or reverse-engineering component behaviour from test source. Activates on test authoring, test framework, or test-driven development questions.

integration-dod-map

Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.

Generate high-density editorial HTML info cards in a modern magazine and Swiss-international style, then capture them as ratio-specific screenshots. Use when the user provides text or core information and wants: (1) a complete responsive HTML info card, (2) the design to follow the stored editorial prompt, (3) output in fixed visual ratios such as 3:4, 4:3, 1:1, 16:9, 9:16, 2.35:1, 3:1, or 5:2, or (4) both HTML and a rendered PNG cover/card from the same content.

Break down complex content into eye-catching infographic series for Xiaohongshu with multiple style options.

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Guía especializada para configurar secuencias verticales, corregir la orientación de clips en masa, aplicar efectos dinámicos y exportar videos optimizados para Instagram utilizando exclusivamente funciones de Adobe Premiere CS6.

Provides bidirectional translation (Chinese/English), grammar checking, and sentence polishing. Supports specific tense constraints, context-aware tone adjustment, and natural expression optimization. Outputs direct text without formatting.

使用Java和Jsoup库解析特定结构的HTML赔率表格，提取赔率公司、水、盘、水以及变化时间。