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Found 1,576 Skills
Check Apideck connector API coverage before building integrations. Use when determining which operations a connector supports, comparing connector capabilities, or diagnosing why an API call fails with a specific connector. Teaches agents to query the Connector API for real-time coverage data.
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides JavaScript SDK examples.
Read this skill to write, generate, or add test code. Trigger when: (1) user asks to write, add, create, or generate tests of any kind (unit tests, integration tests, API tests, E2E tests, Playwright tests, Vitest tests); (2) user has code with missing or zero tests and wants coverage; (3) user just implemented a new service, endpoint, feature, or module and needs tests for it; (4) user refactored code and wants to verify nothing broke with tests; (5) user wants to improve or expand existing test coverage. This skill produces complete, pyramid-shaped test suites — reads the code, selects only the necessary layers (unit/integration/API/E2E), and generates every file needed (schema tests, service tests, factories, helpers, cleanup utilities, spec files) following strict Vitest and Playwright patterns. Skip this skill when debugging failing tests, asking how to use testing APIs or tools, explaining testing concepts, configuring test runners, reviewing existing test code, or migrating between test frameworks.
JaCoCo code coverage configuration for Java/Gradle projects. Covers report generation, coverage thresholds, multi-module aggregation, and SonarQube integration. Use when setting up or troubleshooting code coverage.
Test coverage-focused code review. Apply when reviewing code for missing unit tests, integration tests, edge cases, error handling paths, test quality, and test maintainability.
Details Paraglide.js i18n implementations.
Interact with Google Cloud Storage to manage buckets, objects, and access controls for scalable data storage.
Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, deploy model, model catalog, RAG, knowledge index, create agent, evaluate agent, agent monitoring, create Foundry project, new Foundry project, set up Foundry, onboard to Foundry, provision Foundry infrastructure, create Foundry resource, create AI Services, multi-service resource, AIServices kind, register resource provider, enable Cognitive Services, setup AI Services account, create resource group for Foundry, RBAC, role assignment, managed identity, service principal, permissions, quota, capacity, TPM, deployment failure, QuotaExceeded. DO NOT USE FOR: Azure Functions (use azure-functions), App Service (use azure-create-app), generic Azure resource creation (use azure-create-app).
Conduct thorough, constructive code reviews for quality and security. Use when reviewing pull requests, checking code quality, identifying bugs, or auditing security. Handles best practices, SOLID principles, security vulnerabilities, performance analysis, and testing coverage.
Write comprehensive backend tests including unit tests, integration tests, and API tests. Use when testing REST APIs, database operations, authentication flows, or business logic. Handles Jest, Pytest, Mocha, testing strategies, mocking, and test coverage.
Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.
Guide for using the AI's persistent journal database