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Found 5,015 Skills
Yotpo - Loyalty & Referrals integration. Manage data, records, and automate workflows. Use when the user wants to interact with Yotpo - Loyalty & Referrals data.
PostHog error tracking for Node.js
Use when the user wants to use the UCP CLI to find, compare, buy, or track products from online merchants, or to set up and troubleshoot the local UCP profile required for merchant-scoped operations. Covers global catalog search ("find me X under $Y"), named-merchant transactions ("buy this from Z.com"), order tracking, `ucp profile init`, `ucp doctor`, carts, checkout, orders, and UCP setup/help. Falls back to merchant-hosted handoff when direct in-protocol checkout isn't available.
Use to help users get started with Nemo Gym reward profiling. Covers the basic ng_run, ng_collect_rollouts, and ng_reward_profile workflow, repeated rollouts, materialized inputs, rollout JSONL artifacts, task and rollout identity, output inspection, partial profiling, and rollout_infos. For failed jobs, prefer nemo-gym-debugging.
Curated research collection on adaptation strategies for agentic AI systems, covering agent and tool adaptation methods with RL, SFT, and DPO approaches
Runpod CLI for managing GPU/CPU workloads from the terminal — pods, serverless endpoints, templates, network volumes, Hub deploys, models, SSH, and file transfer (send/receive). Use for terminal/CI/scripting, Hub browse/deploy, SSH setup, `doctor`, or when the Runpod MCP tools are not connected. For structured tool calls in an MCP-enabled session, prefer runpod-mcp.
Evaluate and plan Amazon marketplace expansion to international sites. Market sizing, regulatory requirements, logistics planning, and localization strategy for EU, UK, Japan, Australia, and other Amazon marketplaces.
Use when the user asks to search Korean theses, academic articles, research reports, journals, or university-library catalog metadata through KERIS RISS. 돌쇠에서는 공식 표면을 통한 후속 액션까지 진행한다.
Sets up code formatting rules and style guidelines in CLAUDE.md
Optimize product visibility in Amazon search results. Analyze current search ranking factors, identify optimization gaps, and provide actionable improvements for Amazon's A9/COSMO algorithm.
Research an Elixir/Phoenix topic on the web. Searches ElixirForum, HexDocs, blogs, and GitHub. Uses efficient markdown conversion.