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Found 635 Skills
Provides comprehensive guidance for Terraform infrastructure as code including resource definition, state management, modules, and cloud provider integration. Use when the user asks about Terraform, needs to define infrastructure as code, manage cloud resources, or work with Terraform modules.
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
Instructions for using the ModelMix Node.js library to interact with multiple AI LLM providers through a unified interface. Use when integrating AI models (OpenAI, Anthropic, Google, Groq, Perplexity, Grok, etc.), chaining models with fallback, getting structured JSON from LLMs, adding MCP tools, streaming responses, or managing multi-provider AI workflows in Node.js.
Integrate and use argon-router in React web applications with Effector. Use when tasks involve creating routes and routers, wiring RouterControls/history adapters, composing routes with chainRoute/group/createVirtualRoute, rendering views with RouterProvider/createRoutesView/Outlet, building links with Link/useLink, and managing URL query state with trackQuery and @argon-router/paths.
Initialize and configure LangGraph projects with proper structure, langgraph.json configuration, environment variables, and dependency management. Use when users want to (1) create a new LangGraph project, (2) set up langgraph.json for deployment, (3) configure environment variables for LLM providers, (4) initialize project structure for agents, (5) set up local development with LangGraph Studio, (6) configure dependencies (pyproject.toml, requirements.txt, package.json), or (7) troubleshoot project configuration issues.
Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers. Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination. Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".
This skill should be used when the user asks to "provide liquidity", "create LP position", "add liquidity to pool", "become a liquidity provider", "create v3 position", "create v4 position", "concentrated liquidity", "set price range", or mentions providing liquidity, LP positions, or liquidity pools on Uniswap. Generates deep links to create positions in the Uniswap interface.
Comprehensive LLM audit. Model currency, prompt quality, evals, observability, CI/CD. Ensures all LLM-powered features follow best practices and are properly instrumented. Auto-invoke when: model names/versions mentioned, AI provider config, prompt changes, .env with AI keys, aiProviders.ts or prompts.ts modified, AI-related PRs. CRITICAL: Training data lags months. ALWAYS web search before LLM decisions.
Provides authentication implementation patterns for Next.js 15+ App Router using Auth.js 5 (NextAuth.js). Use when setting up authentication flows, implementing protected routes, managing sessions in Server Components and Server Actions, configuring OAuth providers, implementing role-based access control, or handling sign-in/sign-out flows in Next.js applications.
AI Agent native API provider — no API keys, no signups, no subscriptions. Just pay with USDC per request via x402 to instantly access Twitter, Instagram, and more.
Comprehensive guide for implementing feature flags and A/B tests using the Flags SDK (the `flags` npm package). Use when: (1) Creating or declaring feature flags with `flag()`, (2) Setting up feature flag providers/adapters (Vercel, Statsig, LaunchDarkly, PostHog, GrowthBook, Hypertune, Edge Config, OpenFeature, Flagsmith, Reflag, Split, Optimizely, or custom adapters), (3) Implementing precompute patterns for static pages with feature flags, (4) Setting up evaluation context with `identify` and `dedupe`, (5) Integrating the Flags Explorer / Vercel Toolbar, (6) Working with feature flags in Next.js (App Router, Pages Router, Middleware) or SvelteKit, (7) Writing custom adapters, (8) Encrypting/decrypting flag values for the toolbar, (9) Any task involving the `flags`, `flags/next`, `flags/sveltekit`, `flags/react`, or `@flags-sdk/*` packages. Triggers on: feature flags, A/B testing, experimentation, flags SDK, flag adapters, precompute flags, Flags Explorer, feature gates, flag overrides.
TypeScript authentication framework (framework-agnostic). Features: email/password, OAuth (Google, GitHub, Discord), 2FA (TOTP, SMS), passkeys/WebAuthn, session management, RBAC, rate limiting, database adapters. Actions: implement, configure, secure authentication systems. Keywords: Better Auth, authentication, authorization, OAuth, email/password, 2FA, MFA, TOTP, passkeys, WebAuthn, session management, RBAC, rate limiting, database adapter, TypeScript auth, social login, Google auth, GitHub auth, Discord auth, email verification, password reset. Use when: implementing TypeScript auth, adding OAuth providers, setting up 2FA/MFA, managing sessions, configuring RBAC, building secure auth systems.