Use Alethia, a patent-pending agent-native software runtime for executing and verifying application workflows, to interact with a real browser, run E2E checks, enforce safety policies, audit accessibility or security, and export signed evidence. Requires the @vitronai/alethia MCP server to be configured. Trigger patterns include "test this page," "verify the login flow," "audit accessibility," "compliance audit," "run WCAG/NIST," "check that deletes are blocked," and similar.

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, services, or HTTP communication, or for best practices on reactivity (signals, linkedSignal, resource, httpResource), queries and content projection, forms, dependency injection, routing, server and hybrid rendering (SSR, prerendering, hydration), accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, naming conventions, or CLI tooling.

Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.

Patterns and best practices for AWS serverless workloads. Use when the user asks about Lambda (cold starts, memory, concurrency, timeouts), Lambda Powertools (Logger, Tracer, Metrics), observability, CloudWatch alarms, event-driven architecture (SQS, SNS, EventBridge, Step Functions), or API Gateway (HTTP vs REST API, rate limiting, WAF, X-Ray tracing, going-live checklist). Triggers on: Lambda, cold start, Powertools, SQS, SNS, EventBridge, Step Functions, ECS vs Lambda, DLQ, event-driven, serverless, concurrency, provisioned concurrency, API Gateway, HTTP API, REST API, WAF, rate limiting.

Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale.

Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.

Azure Communication Services common utilities for Java. Use when working with CommunicationTokenCredential, user identifiers, token refresh, or shared authentication across ACS services.

Straightforward text extraction from document files (text-based PDF only for now, no OCR or docx). Use when you just need to read/extract text from binary documents.

Use when running TiDB package tests and deciding whether failpoint enable/disable is required before and after the test command.

Add a new monitoring target / layer to SkyWalking OAP. Orients you to the OAL / MAL / LAL / SpanListener / SegmentListener extension points, the UI template + submodule touchpoints, the docs set that must move together, and the cross-cutting traps that don't live in any one skill.

Architects, generates, and validates Agent Skills. Enforces specification and best practices. Used any time an agent skill must be created or updated.

Create banners using AI image generation. Discuss format/style, generate variations, iterate with user feedback, crop to target ratio. Use when user wants to create a banner, header, hero image, cover image, GitHub banner, Twitter header, or readme banner.

Comprehensive Cloudflare account management for deploying Workers, KV Storage, R2, Pages, DNS, and Routes. Use when deploying cloudflare services, managing worker containers, configuring KV/R2 storage, or setting up DNS/routing. Requires CLOUDFLARE_API_KEY in .env and Bun runtime with dependencies installed.

Analyzes markdown files for token efficiency. TRIGGERS: optimize markdown, reduce tokens, token count, token bloat, too many tokens, make concise, shrink file, file too large, optimize for AI, token efficiency, verbose markdown, reduce file size

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.

C++ テストの作成/更新/修正、GoogleTest/CTest の設定、失敗またはフレーキーなテストの診断、カバレッジ/サニタイザーの追加時にのみ使用します。