Create comprehensive E2E test plans with deep application analysis, navigation coverage audit, and browser-testable scenarios
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Create comprehensive E2E test plans with deep application analysis, navigation coverage audit, and browser-testable scenarios
e2e-test-runner
End-to-end testing scenarios for Supabase - complete workflow tests from project creation to AI features, validation scripts, and comprehensive test suites. Use when testing Supabase integrations, validating AI workflows, running E2E tests, verifying production readiness, or when user mentions Supabase testing, E2E tests, integration testing, pgvector testing, auth testing, or test automation.
Write comprehensive end-to-end tests using Playwright with page object
Build autonomous end-to-end full-stack testing agents using Claude's Computer Use API, LangGraph orchestration, and hybrid Playwright automation. Use this skill when building testing infrastructure, test automation, CI/CD test integration, or self-healing test systems.
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E2E Validator Skill
Write E2E tests with Playwright using selector best practices. Use when you need to write end-to-end integration tests, user scenarios, or complete workflows.
Run E2E tests for Sentry JavaScript SDK test applications
Specialized skill for editing and refining EAD2002 finding aids for the Terrence Kaufman Papers at the Archive of Indigenous Languages of Latin America (AILLA), Lillas Benson Latin American Studies and Collections, University of Texas at Austin. Use when working with KaufmanEAD.xml, implementing staff feedback, validating against EAD2002 standards, or referencing institutional finding aid examples.
Design system architecture from 10,000 feet. Soar above the codebase, survey the landscape, and create blueprints that stand the test of time. Use when planning major features, refactoring systems, or mapping how components interact.
earned-media-strategy
Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.
Expert in technical valuation approaches for easements including percentage of fee method, income capitalization, and before/after comparison. Use when valuing utility transmission easements, pipeline corridors, access easements, telecom sites, or when detailed methodology beyond basic percentage ranges is required. Key terms include easement valuation, percentage of fee, income capitalization, paired sales analysis, discount rate selection, agricultural rent analysis
Generate test infrastructure for eBPF CNF programs including network namespace setup, virtual interface creation, traffic generation, packet injection, and validation of packet processing logic. Use when implementing automated tests for CNFs.
Property-based testing and fuzzing using Echidna for smart contracts. Includes invariant definition, corpus management, coverage analysis, and CI/CD integration for comprehensive security testing.
Run and interact with eclair Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing eclair containers, and calling eclair API endpoints (getinfo, connect, open/close channels, pay/receive).
Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). Output chronological markdown reports with impact assessment.
Analyzes Claude Code ecosystem health by tracking all 27 extensibility components across 6 tiers - including plugin components, core configuration, environment/CLI, authentication, session features, and integrations. Use when checking if Claude Code components are up-to-date, orchestrating audits efficiently, tracking documentation coverage, applying updates from new Claude Code versions, or getting an overview of ecosystem component staleness.
AWS Fargate serverless container compute for ECS. Covers Fargate vs EC2 decision guide, CPU/memory sizing, platform versions, Fargate Spot cost optimization, Graviton/ARM architecture, networking, and EFS integration. Use when deploying serverless containers, optimizing Fargate costs, sizing Fargate tasks, or choosing between Fargate and EC2 launch types.
Component research and procurement. Search JLC for components, analyze datasheets, compare options, and document selections with rationale.
Eval-Driven Development (EDD) Framework v2.64 - Define-before-implement pattern with structured evals. Provides workflow: Define specifications → Implement features → Verify against evals. Components: TEMPLATE.md for eval definitions, edd.sh CLI script, /edd skill invocation. Check types: CC- (Capability), BC- (Behavior), NFC- (Non-Functional). Integrates with orchestrator workflow for quality-first development. Keywords: evals, define, implement, verify, capability checks, behavior checks, non-functional checks, template, quality assurance, test-driven, specification. Use when: defining new features with structured evals, implementing with verification requirements, creating quality specifications, TDD-style workflow with evals.
World-class expert across full-stack, frontend, TypeScript, Python, Google Apps Script, testing, marketing, SaaS, Lean Six Sigma, and data analytics. Specialized in PostgreSQL/Supabase, LINE Platform, and production-grade application development. Use for any project requiring enterprise-scale software development.
Read from `Docs/context/` for project-specific patterns:
Apply when doing planning for long-running tasks in sessions on top level
Comprehensive editing framework covering voice consistency, timeline verification, citation coverage, and multi-pass editing strategies for autonomous manuscript refinement.
Guide for testing EDS blocks using test.html files and the development server. Covers test file structure, EDS core integration, testing patterns, and debugging workflows for Adobe Edge Delivery Services blocks.
Analyze and optimize E-E-A-T signals (Experience, Expertise, Authority, Trust) for content credibility.
Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.
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.
Expert regex pattern generation, optimization, testing, and explanation using deterministic AST-based construction. Use when user needs to create, test, optimize, or understand regex patterns, parse CLI commands, validate inputs, or build complex text matching patterns.
Effect-TS specialized research via deepwiki and submodules. Query Effect-TS/effect, tim-smart/effect-atom for verified patterns. Enforces grounded verification before implementation.
Testing patterns with layers, mocks, and deterministic time. Use when preparing testable services and small smoke tests.
Analyzes and refactors Go code using Effective Go principles. Use when refactoring Go code, identifying anti-patterns, improving Go idioms, or applying Go best practices.
Use when deploying Node.js applications to AWS Elastic Beanstalk or troubleshooting deployment issues - provides dependency installation strategies, monorepo handling, and deployment best practices
eld-ground-check
Desktop application specialist building secure cross-platform solutions. Develops Electron apps with native OS integration, focusing on security, performance, and seamless user experience.
Build multi-file features with unstoppable momentum. Trumpet the vision, gather materials, construct with strength, test thoroughly, and celebrate completion. Use when implementing features that span multiple files or systems.
Hub skill for requirements elicitation. Provides technique selection, orchestration guidance, LLMREI patterns, and autonomy level configuration. Use when gathering requirements from stakeholders, conducting elicitation sessions, or preparing requirements for specification.
You are an elite Elixir developer specializing in full-stack web applications
Use when designing or architecting Elixir/Phoenix/LiveView applications, creating comprehensive project documentation, planning OTP supervision trees, defining domain models, structuring multi-app projects with path-based dependencies, or preparing handoff documentation for Director/Implementor AI collaboration
MANDATORY verification before claiming anything works. Run actual commands, read actual output, provide evidence. Use when claiming tests pass, build succeeds, or code works.
Expert ElizaOS plugin and agent development (January 2026). Use when (1) Building ElizaOS plugins, (2) Creating AI agent characters, (3) Implementing actions, providers, evaluators, (4) Integrating with AgentRuntime, (5) Building platform clients (Discord, Telegram), (6) Testing plugins, or any ElizaOS architecture questions.
You are a specialized migration expert for the morphir-dotnet project. Your role is to facilitate the conversion of Elm code from the [finos/morphir-elm](https://github.com/finos/morphir-elm) reposito
Extract actionable tasks assigned to the user from email text. Filters out informational emails (announcements, newsletters, ads, automated reports) and only processes emails with clear action requests. Handles group emails by identifying user-specific assignments.
Email template development with React Email and Tailwind CSS. Use when creating or modifying email templates, testing email rendering, or building email HTML from React components.
Comprehensive email marketing strategy including drip campaigns, segmentation, automation workflows, copywriting guidelines, deliverability best practices, and 90-day implementation roadmap with full-funnel lifecycle coverage
Auto-embed Acceptance Criteria from living docs into increment spec.md for hook compatibility
Create structured visualizations of stakeholder perspectives (says, thinks, does, feels) to build deep understanding. Use when conducting user research or validating assumptions.
Complete development workflow orchestrator coordinating all multi-ai skills (research → planning → implementation → testing → verification) with quality gates, failure recovery, and state management. Single-command complete workflows from objective to production-ready code. Use when implementing complete features requiring full pipeline, coordinating multiple skills automatically, or executing production-grade development cycles end-to-end.