Skill UI

webmcpify is a specialized pipeline designed to make existing web applications agent-ready. It extracts user-facing functionality and exposes it as WebMCP tools, allowing AI agents to interact with the application via structured, reliable tool calls rather than fragile DOM scraping. The tool guides developers through detection, inventory, integration, verification, and healing phases to ensure robust AI interoperability.

A comprehensive, 10-phase methodology for authorized security assessment of modern APIs, including REST, GraphQL, WebSocket, and SOAP. This guide covers the entire testing lifecycle—from endpoint discovery and authentication bypass (JWT/OAuth 2.0) to sophisticated authorization flaws (BOLA/IDOR/BFLA), input validation, rate limiting, and CI/CD integration testing.

This skill implements an advanced reference pattern for integrating with Monitoring Control Platform (MCP) servers. It ensures accurate data retrieval by first reading a domain-specific 'gotchas' reference file, mitigating query failures caused by complex server behaviors, pagination limits, or subtle API quirks. It analyzes issue data, groups errors by root cause, and generates a structured, actionable markdown report for improved system health visibility.

This skill analyzes a user's business problem within a Power Pages site and recommends the optimal backend integration approach. It evaluates options like Web API, AI Web API, Server Logic, and Cloud Flows, guiding the user on where to connect data, implement complex business logic, or add generative AI summaries.

Integrates Power Pages Web API into frontend code with proper permissions and deployment. Orchestrates full integration lifecycle including code integration, table permissions setup, and deployment for Dataverse CRUD operations. Use when adding Web API calls, connecting to Dataverse, or adding data fetching to frontend.

This tool reviews and migrates deprecated wildcard (*) values found in Power Pages Web API field settings. It replaces them with explicit, least-privilege Dataverse column definitions. Use this when addressing Web API wildcard deprecation, reviewing data exposure, or fixing integration failures across traditional and SPA site architectures.

This comprehensive guide outlines the principles, architecture, and best practices for developing specialized, modular skills that extend large language model capabilities. Learn how to integrate domain expertise, multi-step workflows, API tool integrations, and structured resources while managing the context window efficiently.

Build AI phone agents with AgentPhone API. Manage phone numbers, voice calls, SMS, webhooks, and usage. Use for telephony automation, voice AI, and SMS integration.

This skill provides expert patterns for implementing Algolia search, including indexing strategies, React InstantSearch integration, and relevance tuning. It covers search API usage, typeahead functionality, autocomplete, and faceted search implementation. Use this for adding robust search functionality to web applications and optimizing search results.

This skill helps design event-driven architectures, webhook systems, and API chaining flows. It covers integration patterns between services, ETL pipelines, and Pub/Sub topics. You can use it for API composition strategies, Saga patterns for distributed transactions, and Outbox patterns for reliable event publishing. It ensures robust system design with idempotency, retry logic, and circuit breakers.

Design and implement robust API integrations using expert patterns for REST, GraphQL, and webhooks. Focus on contract-first design, resilience, observability, and security. Includes strategies for authentication, rate limiting, error handling, and debugging to ensure production-ready solutions.

This skill specializes in creating realistic mock services for development, testing, and demonstration purposes. It simulates real API behavior to enable parallel development and facilitate thorough testing. Use it for building mock APIs for frontend or integration testing, simulating partner APIs, creating demo environments, and validating API contracts before backend completion. Avoid using for production systems or security testing.