vc-ai-infra-scoutlisted

Use when the user wants VC-style deal-sourcing intelligence on AI infrastructure (inference, GPU, training, agent infra), crypto-AI / decentralized compute, robotics / embodied-AI (foundation models, humanoid, sim-to-real), or agentic payments. Runs a 9-step discovery pipeline across Tavily, Exa, Product Hunt, Twitter/X, LinkedIn, and Apollo. Paid per call over mixed x402 + MPP rails. No API keys.
SELAT-AI/selat-skills · ★ 2 · AI & Automation · score 65

Install: claude install-skill SELAT-AI/selat-skills

# vc-ai-infra-scout ## When To Use Use this skill when the user wants to discover early-stage companies, funding rounds, founders, and investor theses across the AI-infrastructure ecosystem. Covers four sub-theses: - **AI Infrastructure** — inference runtimes, GPU orchestration, training stacks, vector/data infra - **Crypto-AI / Decentralized AI** — on-chain AI agents, DePIN-for-compute, distributed GPU/ML - **Robotics / Embodied AI** — robotics foundation models, humanoid/embodied-AI, sim-to-real, actuation/sensor stacks - **Agentic Payments** — agent commerce, x402/stablecoin agent settlement, agentic-payment rails ## Workflow 1. Install: `selat skill install vc-ai-infra-scout` 2. Run with thesis override: `selat skill run vc-ai-infra-scout --thesis "robotics foundation model" --twitterQuery "robotics foundation model" --fundraisingQuery "robotics startup raised seed" --investorQuery "robotics VC partner" --domain "modal.com"` 3. The skill compiles each of 9 steps into `selat-pay` calls and returns a JSON response. 4. Synthesize the 9 steps into a VC intelligence memo (tiered funding map, investor thesis extraction, geographic blindspots, strategic recommendations). ## Pipeline Steps | Step | Source | Rail | Purpose | |------|--------|------|---------| | 1 | Tavily (x402 Base) | x402 on Base | Broad web discovery for `${thesis} startup funding` | | 2 | Parallel MPP | MPP Tempo | Product Hunt launches scoped to `${thesis}` | | 3 | Exa | MPP Tempo | Deep web context on