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Found 785 Skills
Connect WhatsApp to your product with Kapso: onboard customers with setup links, detect connections, receive events via webhooks, and send messages/templates/media. Also manage WhatsApp Flows (create/update/publish, data endpoints, encryption). Use when integrating WhatsApp end-to-end.
Guides feature development in Fusion Framework React apps, including app-scoped framework research needed to choose the right hooks, modules, packages, and integration patterns before implementation. USE FOR: building new features, adding components or pages, creating hooks and services, wiring up API endpoints, extending Fusion module configuration, and answering app implementation questions about which Fusion Framework surface to use. DO NOT USE FOR: issue authoring, skill authoring, CI/CD configuration, backend service changes, or general Fusion documentation that is not tied to app implementation.
Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).
Develop applications using the Docyrus API with @docyrus/api-client and @docyrus/signin libraries. Use when building apps that authenticate with Docyrus OAuth2 (PKCE, iframe, client credentials, device code), make REST API calls to Docyrus data source endpoints, or construct query payloads with filters, aggregations, formulas, pivots, and child queries. Triggers on tasks involving Docyrus API integration, @docyrus/api-client usage, @docyrus/signin authentication, data source query building, or Docyrus REST endpoint consumption.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints. Use when asked to deploy models on Agent Platform, list available Model Garden models, check if a model is deployable, query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for public Vertex AI deployments (use the `vertex-deploy` skill) or for running model evaluations (use the `agent-platform-eval` skill).
Redux Toolkit and RTK Query patterns for state management. Use for global state, API caching, and complex state logic. Includes slices, thunks, and query endpoints.
Unit tests for external REST APIs using WireMock to mock HTTP endpoints. Use when testing service integrations with external APIs.
Implement rate limiting to prevent brute force attacks, spam, and resource abuse. Use this skill when you need to protect endpoints from automated attacks, prevent API abuse, limit request frequency, or control infrastructure costs. Triggers include "rate limiting", "rate limit", "brute force", "prevent spam", "API abuse", "resource exhaustion", "DoS", "withRateLimit", "too many requests", "429 error".
Primary Apex authoring skill for class generation, refactoring, and review. ALWAYS ACTIVATE when the user mentions Apex, .cls, triggers, or asks to create/refactor a class (service, selector, domain, batch, queueable, schedulable, invocable, DTO, utility, interface, abstract, exception, REST resource). Use this skill for requests involving SObject CRUD, mapping collections, fetching related records, scheduled jobs, batch jobs, trigger design, @AuraEnabled controllers, @RestResource endpoints, custom REST APIs, or code review of existing Apex.
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.