Indexion Segment

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".

Interact with ClawDirect, a directory of social web experiences for AI agents. Use this skill to browse the directory, like entries, or add new sites. Requires ATXP authentication for MCP tool calls. Triggers: browsing agent-oriented websites, discovering social platforms for agents, liking/voting on directory entries, or submitting new agent-facing sites to ClawDirect.

Deploy, manage, inspect, and troubleshoot Vercel projects from the command line. Use for Vercel deployments, build failures, projects and teams, environment variables, domains and DNS, logs, metrics, Speed Insights, Core Web Vitals, request traces, usage, activity, alerts, firewall rules, cache, cron jobs, deploy hooks, Edge Config, feature flags, integrations, connectors, Blob storage, Container Registry (VCR), microfrontends, rolling releases, custom environments, Sandbox, agent/MCP setup, OAuth apps, preview access, local development, or `vercel api` fallback.

Build agent-facing web experiences with ATXP-based authentication, following the ClawDirect pattern. Use this skill when building websites that AI agents interact with via MCP tools, implementing cookie-based agent auth, or creating agent skills for web apps. Provides templates using @longrun/turtle, Express, SQLite, and ATXP.

Registers LLM tools and renders custom tool-call UI in assistant-ui (@assistant-ui/react). Covers the current authoring model: a "use generative" file exporting defineToolkit({...}) that co-locates schema, execute, and render and is split across the client/server boundary by the build plugin (withAui from @assistant-ui/next, aui() from @assistant-ui/vite, withAui from @assistant-ui/metro), mounted with Tools({ toolkit }) through useAui and exposed to the model with AISDKToolkit. Covers the tool kinds and their execute markers: backend (plain execute), frontend ("use client" inside execute), human via humanTool()/hitl, provider via providerTool(), external via externalTool(), stubs via stubTool() plus useAuiToolOverrides, and MCP via defineMcpToolkit. Also covers the component-scoped path (makeAssistantTool / useAssistantTool / makeAssistantToolUI / useAssistantToolUI), ToolCallMessagePartProps (status.type running/complete/incomplete/requires-action, args, argsText, result, artifact, a

Create and configure AI agents, attach knowledge for RAG, manage MCP servers, and handle agent memories using the Cargo CLI. Use when the user wants to create or update agents, configure agent releases, connect MCP tool servers, or manage agent memories. To upload knowledge files or build knowledge libraries, use the cargo-content skill. For sending messages to agents, use the cargo-orchestration skill instead.