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Found 299 Skills
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development.
Ranger Finance SDK for building perpetual futures trading applications on Solana. The first Solana Perps Aggregator - aggregates liquidity across multiple perp protocols (Drift, Flash, Adrena, Jupiter). Use when integrating perps trading, smart order routing, position management, or building AI trading agents.
Operating system for logging market/competitive signals with severity, confidence, and routing.
Methodology for defining product-qualified lead (PQL) signals, scoring, and routing.
Use when evaluating ICP fit, buying intent, and routing priority for new leads.
Configure GCP Cloud Audit Logs for compliance. Set up log routing and BigQuery analysis. Use when auditing GCP activity.
Setup domains in Cloudflare with DNS for Clerk, Vercel, and email routing. Use when adding new domains, configuring DNS records, or setting up email redirects.
Optimize provider selection, routing, and credit usage across 150+ enrichment sources for company/contact intelligence.
TanStack Start full-stack React framework. Use for: server functions with createServerFn, TanStack Router file-based routing, TanStack Query SSR integration, Cloudflare Workers deployment.
Integrate external DEX liquidity into Uniswap V4 via Aggregator Hooks. Use when user says "aggregator hook", "external liquidity", "wrap Curve/Balancer/Aerodrome", "route through external DEX", "V4 hook for non-Uniswap pools", "compare liquidity sources", or mentions integrating third-party AMM liquidity into Uniswap routing.
Use when building an LLM-powered app that needs cost control via model routing, budget tracking, retry, and prompt caching.
Implement LangGraph error handling with current v1 patterns. Use when users need to classify failures, add RetryPolicy for transient issues, build LLM recovery loops with Command routing, add human-in-the-loop with interrupt()/resume, handle ToolNode errors, or choose a safe strategy between retry, recovery, and escalation.