api▌

This skill guides you through creating custom external web service APIs for Moodle LMS, following Moodle's external API framework and coding standards.

$22

Automatically generate clear, comprehensive API documentation from your codebase with endpoints, examples, and best practices. \n \n Analyzes API structure to extract endpoints, HTTP methods, parameters, responses, authentication, and error patterns \n Generates endpoint documentation with request/response specifications, code examples in multiple languages (cURL, JavaScript, Python), and error handling details \n Supports REST APIs, GraphQL APIs, and WebSocket APIs with format-specific document

Production-ready patterns for authenticating, transforming, and reliably integrating third-party APIs. \n \n Covers authentication methods including API keys, OAuth 2.0, and JWT with secure credential management \n Provides structured error handling, exponential backoff retry logic, and client-side rate limiting with configurable windows \n Includes webhook verification via HMAC signatures, request/response transformation, and pagination handling patterns \n Demonstrates REST client patterns, ti

Category: test

Programmatic orchestration of Pulumi infrastructure operations across multiple stacks and applications. \n \n Supports both local source (existing Pulumi projects) and inline source (embedded programs) architectures, enabling flexible deployment patterns from simple to complex multi-stack scenarios \n Handles multi-stack orchestration with dependency sequencing, parallel independent deployments, and cross-stack output passing for coordinated infrastructure provisioning \n Provides programmatic c

Unit test external REST API integrations with WireMock HTTP mocking and request verification. \n \n Stub HTTP responses with configurable status codes, headers, and JSON bodies; verify request details including headers, query parameters, and request bodies \n Test error scenarios (4xx/5xx responses, timeouts, malformed responses) without calling real APIs or hitting rate limits \n Use dynamic port allocation to avoid conflicts in parallel test execution; automatic cleanup between tests via JUnit

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Store and manage API response test fixtures for provider parsing validation. \n \n Fixtures are organized in __fixtures__ subfolders within provider packages, using naming conventions documented in existing examples \n Supports two testing patterns: generateText (log raw response to console and copy into fixture) and streamText (use includeRawChunks and saveRawChunks helper to capture streaming chunks) \n Recommends storing true provider responses unless size constraints require semantic-preserv

Multimodal AI with Gemini 2.5 and 3 models, supporting text, images, video, audio, PDFs, function calling, thinking mode, and real-time web grounding. \n \n Supports three deployment approaches: Node.js SDK (@google/genai), fetch-based REST API for edge runtimes, and chat helpers for multi-turn conversations \n Handles multimodal inputs (images, video, audio, PDFs) with 1,048,576 token context window; thinking mode enabled by default for enhanced reasoning quality \n Includes function calling wi