infra-tester
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 →infra-tester
Infrastructure-as-Code specialist for Terraform, AWS, Azure, and serverless architectures. Use when setting up cloud infrastructure, writing Terraform modules, or deploying to AWS Lambda/Vercel/Cloudflare. Covers VPC configuration, container orchestration, and CI/CD pipeline infrastructure.
Run TestKube and PGBouncer tests on Kubernetes clusters with mandatory context verification to prevent accidental deployments to wrong environments
>
>
Initialize and configure local development tooling for TypeScript, Rust, and Python projects including monorepos. Use when setting up linting (ESLint, Biome, clippy, ruff), formatting (Prettier, rustfmt, ruff), type checking (tsc, mypy), testing (Vitest, Jest, cargo test, pytest), Git hooks (lefthook for commit-msg, pre-commit, pre-push), GitHub Actions workflows, package publishing (npm, crates.io, PyPI), version management (Changesets), and automated releases. Covers both single-language projects and multi-language monorepos using Nx + pnpm workspaces.
Scaffold projects with agentic coding structure for AI-assisted development.
Initialize complete governance framework in a project - creates constitution, roadmap, directory READMEs, and issue/spec templates with guided setup process
Initialize long-running agent projects with environment setup, feature list generation, and progress tracking. Use when starting a new implementation project or setting up an existing codebase for Claude-assisted development. Creates init.sh (dev server script), claude-progress.txt (work log), and docs/features.json (feature list with status tracking).
Initializes the Appwrite Client using Singleton or Provider patterns for Next.js 15. Use whenever setting up the backend connection.
Guidelines for adding inline cross-reference links to example sentences and notes. Includes common word reference table.
This skill should be used when developing, optimizing, testing, or submitting algorithms for The Innovation Game challenges (3-SAT, CVRP, Knapsack). Use it for algorithm development, performance optimization, local testing, dry-run validation, or submission to earn TIG tokens through improved computational algorithms.
Request clarification when input is ambiguous. Use when user request has missing parameters, conflicting interpretations, or insufficient constraints for reliable execution.
Supabase-style connection UI for managing InsightPulse AI infrastructure (Supabase, Odoo, Superset, MCP servers, PostgreSQL, APIs). Self-hosted connection manager module for Odoo 19 that provides unified connection management, auto-generated configurations, connection testing, and beautiful Kanban interface.
Business intelligence expert - creates actionable insights, visualizations, and executive reports from GabeDA model outputs. Identifies data gaps and recommends new features.
Analyze websites for design inspiration, extracting colors, typography, layouts, and patterns. Use when you have specific URLs to analyze for a design project.
Create Instagram-specific content strategies for Reels, Stories, feed posts, and growth optimization
Use when adding project dependencies. Defines dependency management rules and language-specific patterns.
Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.
Use when setting up git pre-commit and pre-push hooks - provides simple shell script approach and pre-commit framework method, both calling justfile commands for DRY principle
'Create and manage high-quality custom instruction files for GitHub Copilot. Use when you need to define new project-specific guidelines, workflows, or coding standards in the instructions/ directory.'
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
Insurance policy analysis, claims evaluation, coverage assessment, and risk management for individuals and businesses
Analyzes and compares health insurance plans (individual vs group), calculates costs, verifies networks, and generates formatted comparison reports for decision-making
- Assess risk characteristics of people, property, or activities
Systematic workflow and API reference for integrating Streamlit playground with vrp-toolkit modules. Use when developing playground features, connecting UI to vrp-toolkit APIs, or encountering API signature mismatches. Provides interface mapping table, contract test integration, and troubleshooting guide to avoid token-intensive source code exploration.
>
Complete workflow for integrating Stripe payments (subscriptions or one-time) with Convex + Next.js. Includes hosted checkout, webhooks, UI components, and testing. Use when adding payment functionality to a Convex + Next.js app.
Complete guide for integrating Stripe payments (subscriptions or one-time) with Convex + Next.js. Includes user interviews, API setup, webhook configuration, testing phases, and production deployment. Use this skill when Adding payment functionality to a Convex + Next.js app
Use when implementing Stripe webhook endpoints and getting 'Raw body not available' or signature verification errors - provides raw body parsing solutions and subscription period field fixes across frameworks
Handles integrations with trigger behavior for dynamic agent delegation
Designs integration and E2E tests with mock boundaries and behavior verification rules. Use when writing E2E or integration tests.
Эксперт по интеграционным спецификациям. Используй для документирования интеграций, webhooks, event schemas и data flows.
RAN system integration with microservices architecture, cognitive consciousness, and intelligent orchestration for seamless network integration. Use when integrating RAN systems, implementing microservices architecture, designing service orchestration, or enabling intelligent network integration.
Generates integration tests for system components and workflows
This skill should be used when creating new integration tests for Breenix kernel features. Use for writing shared QEMU tests with checkpoint signals, creating xtask test commands, adding test workflows, and following Breenix testing patterns.
Build comprehensive integration tests for APIs and database flows.
Plan integration tests across modules or services. Use when a mid-level developer needs to verify system interactions.
Generate comprehensive integration tests for component interactions,
Guide for writing integration tests with Vitest and Testing Library. Use when testing multi-component workflows, database interactions, React components with context providers, or full user flows. Covers the Testing Trophy philosophy (integration > unit), factory patterns for test data, MSW for network mocking, async testing patterns (waitFor, findBy), and custom render with providers. Use this for tests that cross multiple modules or layers of the application.
Designs comprehensive integration testing strategies including API testing, database testing, microservices testing, end-to-end testing, and test automation frameworks. Produces test plans, test cases, test data strategies, and CI/CD integration. Use when designing test strategies, writing integration tests, setting up test automation, testing APIs, testing microservices, or when users mention integration testing, API testing, E2E testing, test automation, or quality assurance.
Design and implement integration tests that verify component interactions, API endpoints, database operations, and external service communication. Use for integration test, API test, end-to-end component testing, and service layer validation.
Integration Validator Skill
规划集成窗口位置和验证策略。当需要在Phase之间或SubPlan之间安排集成窗口、定义集成验证策略、生成集成清单（API契约/数据流/E2E测试）时使用。主要用于L2/L3项目。
Analyzes user questions and automatically dispatches optimal agents/skills/plugins
Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.
A structured methodology for extracting, refining, and documenting product/feature requirements through deep interviewing.
Use Claude Code's interactive question tool to gather comprehensive requirements through structured multi-select questions
Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.
Build state-machine based automation with human-in-the-loop support through Interactor. Use when implementing approval flows, multi-step processes, automated pipelines, or any workflow requiring user input at specific stages.