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Found 4,137 Skills
Guides integrations across Fusion Core service APIs from a single installable skill. USE FOR: service discovery across apps, people, context, roles, notifications, reports, tasks, and other Fusion Core APIs; cross-service integration planning; choosing the right endpoint/model guidance for a workflow. DO NOT USE FOR: modifying Fusion backend source code, non-Fusion APIs, or generic cloud architecture work without a Fusion service integration target.
Expert knowledge for Azure DevTest Labs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing DevTest Labs VMs, images/artifacts, ARM/CLI automation, RBAC/Key Vault security, or hub-spoke lab setups, and other Azure DevTest Labs related development tasks. Not for Azure Dev Box (use azure-dev-box), Azure Lab Services (use azure-lab-services), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).
Lemlist platform help — multichannel sequences, lead database, enrichment, Lemwarm, unified inbox, AI personalization, LinkedIn automation, calls, WhatsApp, API, integrations. Use when asking 'how do I do X in Lemlist', configuring Lemlist settings, setting up sequences, managing leads, using Lemwarm warmup, connecting integrations, using the People Database, or using the Lemlist API. Do NOT use for building prospect lists (use /sales-prospect-list), designing cadence strategy (use /sales-cadence), cross-platform deliverability (use /sales-deliverability), or enriching contacts outside Lemlist (use /sales-enrich).
Set up and run unit, integration, and E2E tests for Chrome extensions. Covers Jest mocks for chrome.* APIs and Puppeteer E2E with real Chrome.
Implements and debugs browser Language Detector API integrations in JavaScript or TypeScript web apps. Use when adding LanguageDetector support checks, availability and model download flows, session creation, detect() calls, input-usage measurement, permissions-policy handling, or compatibility fallbacks for built-in language detection. Don't use for server-side language detection SDKs, cloud translation services, or generic NLP pipelines.
NLP Cloud integration. Manage data, records, and automate workflows. Use when the user wants to interact with NLP Cloud data.
Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.
Paddle integration. Manage Deals, Persons, Organizations, Leads, Projects, Pipelines and more. Use when the user wants to interact with Paddle data.
CI/CD integration patterns for gh-infra: auto-apply on merge, scheduled drift detection, self-managed vs central-management layouts, and authentication setup for GitHub Actions workflows.
MUST be used whenever building a chat UI with Atlas agents in a Dune app. Do NOT manually write useAtlasChat integration code — this skill handles installation, component structure, and hook wiring. Triggers: useAtlasChat, atlas chat, streaming chat, agent chat, chat interface, chat component, chat UI. For a full chat app, run skills in order: (1) integrate-atlas-chat, (2) create-client-tool (per tool), (3) setup-python-tools (if Python tools needed).
Declarative HTTP client for microservices communication with Spring Cloud OpenFeign. Covers @FeignClient, error handling, interceptors, and circuit breaker integration. USE WHEN: user mentions "feign", "openfeign", "@FeignClient", "declarative HTTP client", "service-to-service communication", "microservices client" DO NOT USE FOR: external APIs - consider WebClient or RestClient, simple HTTP calls - use RestClient
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.