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Manages the complete lifecycle of project instructions: creating initial documentation, syncing with codebase patterns, and organizing modular rules.

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

Implement deep instrumentation pipelines for tracing, metrics, and real-user monitoring of React apps.

Insurance policy analysis, claims evaluation, coverage assessment, and risk management for individuals and businesses

An Insurance Claims Adjuster evaluates insurance claims by collecting evidence, interpreting policy coverage, determining liability, and calculating appropriate settlement outcomes. The role requires

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.

Design, generate, and fully deploy a stylish, production-ready Retrieval-Augmented Generation (RAG) chatbot embedded directly into any website/project. Uses OpenAI ChatKit widget + Cohere embeddings + Qdrant Cloud + Neon Serverless Postgres + FastAPI backend. Supports selected-text questioning and full conversation history.

JD 기반 통합 지원서 HTML 작성이 필요할 때

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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

Generate new OAuth integration providers for Dafthunk with backend providers, type definitions, frontend configurations, and integration nodes

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.

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.

E2E 테스트, Flyway vs @Sql 분리, TestRestTemplate 필수. MockMvc 금지. /kb-integration 명령 시 자동 활성화.

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.

Run and extend the end-to-end HTTP integration tests (SQLite in-memory) for mjr.wtf, covering auth, create/list/delete, redirects, and analytics. Use when changing handlers, middleware, or API contracts.

Integration Validator Skill

Third-party WordPress plugin integration patterns. Use when adding new integrations, debugging compatibility with other plugins, or working with existing integrations.

Information gathering utilities (analytics, research, content analysis) (general)

Comprehensive systematic debugging agent for hunting down complex bugs, root causes, and error propagation across full stack (frontend, backend, APIs, databases). Use when diagnosing errors, troubleshooting issues, analyzing stack traces, investigating bugs, examining logs, debugging performance problems, or tracking down error causes. Also use when users mention debugging, errors, bugs, failures, crashes, exceptions, or unexpected behavior.

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.

Split large texts into meaningful, AI-optimized chunks while preserving semantic coherence and document structure. Use when processing large documents for AI training, RAG systems, or when you need to break down content while maintaining context and relationships.

Guide for creating IntelliJ Platform plugins using Gradle and Kotlin/Java. Use when users want to create, configure, or develop plugins for IntelliJ IDEA or other JetBrains IDEs.

Advanced intent interpretation system that analyzes user requests using cognitive science principles and extrapolates logical volition. Use when user requests are ambiguous, when deeper understanding would improve response quality, or when helping users clarify what they truly need. Applies probabilistic intent mapping, first principles decomposition, and Socratic clarification to transform vague requests into well-understood goals.

A structured methodology for extracting, refining, and documenting product/feature requirements through deep interviewing.

Run a structured, interactive review session that presents changes in small, readable chunks and waits for the human to approve, reject, or chat before moving on.

提供标准化的交互式评估系统，支持在Alma侧边栏直接填写和提交评估表单。自动收集反馈数据并生成结构化总结。

Use Claude Code's interactive question tool to gather comprehensive requirements through structured multi-select questions

Generate interactive HTML reports with Plotly visualizations from data analysis results. Supports dashboards, charts, and professional styling.

Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.

Designs interactive theatrical experiences with branching narratives, audience participation systems, and immersive environmental storytelling.

Generate and display skill preview for user review before saving

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.

Review web interface implementations across Interactivity, Typography, Motion, Touch, Optimizations, Accessibility, and Design/UX. Based on industry best practices and UX psychology principles. Use for UI component and page implementation reviews.

Use when symfony interfaces and autowiring

Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.

Operational rules for Interlock enforcement and receipts

An intermediate example with metadata and examples

Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.