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Found 529 Skills
Terraform infrastructure as code with providers and state management. Use for cloud provisioning.
Provides comprehensive KeyCloak administration guidance including realm management, user/group administration, client configuration, authentication flows, identity brokering, authorization policies, security hardening, and troubleshooting. Covers SSO configuration, SAML/OIDC setup, role-based access control (RBAC), user federation (LDAP/AD), social login integration, multi-factor authentication (MFA), and high availability deployments. Use when configuring KeyCloak, setting up SSO, managing realms and clients, troubleshooting authentication issues, implementing RBAC, or when users mention "KeyCloak", "SSO", "OIDC", "SAML", "identity provider", "IAM", "authentication flow", "user federation", "realm configuration", or "access management".
Use when implementing authentication with Better Auth in a TypeScript/Next.js app (session strategy, providers, cookies, CSRF, redirects, middleware, and security best practices).
WHEN testing React components/hooks/context with React Testing Library; NOT e2e; covers renderHook, providers, forms, and anti-patterns.
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
Build Nostr Data Vending Machine (DVM) services and clients using NIP-90. Use when implementing AI/compute service providers (kinds 5000-5999 job requests, 6000-6999 job results, kind 7000 feedback), creating DVM job request clients with payment handling, chaining DVM jobs, handling encrypted DVM params, or publishing NIP-89 service provider discovery events for DVMs.
Keycloak administration including realm management, client configuration, OAuth 2.0 setup, user management with custom attributes, role and group management, theme deployment, and token configuration. Activate for Keycloak Admin API operations, authentication setup, and identity provider configuration.
LangChain / LangGraph engineering pitfalls and verified fixes. Covers DeepAgents, OpenAI-compatible model integration (including Chinese provider adapters: DeepSeek, Qwen, GLM, etc.), middleware, streaming, multi-agent orchestration, and other common development issues. Use when hitting unexpected behavior, making architecture decisions, or integrating Chinese LLM providers during LangChain development.
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
Integrate external APIs and services with error handling, retry logic, and data transformation. Use when connecting to payment processors, messaging services, analytics platforms, or other third-party providers.
Build and maintain assistant-ui based React chat apps with reliable setup, runtime selection, LangGraph wiring, tool UI integration, and upgrade workflows. Use when tasks explicitly involve `assistant-ui` dependencies or APIs, including `assistant-ui` CLI commands (`create/init/add/update/upgrade/codemod`), `@assistant-ui/*` providers/runtimes, `AssistantRuntimeProvider`, Thread/Composer primitives, cloud persistence, or tool rendering behavior. Do not use for generic React chat work, backend-only LangGraph tasks, or non-assistant-ui UI work. If the prompt explicitly says without/no/not assistant-ui, do not trigger this skill.
This skill should be used when the user asks for "model council", "multi-model", "compare models", "ask multiple AIs", "consensus across models", "run on different models", or wants to get solutions from multiple AI providers (Claude, GPT, Gemini, Grok) and compare results. Orchestrates parallel execution across AI models/CLIs and synthesizes the best answer.