Total 54,172 skills, AI & Machine Learning has 9012 skills
Showing 12 of 9012 skills
Go-to-market strategy for AI products. Use when positioning AI products, handling "who is responsible when it breaks" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
Use when analyzing patient records, clinical notes, medical PDFs, FHIR data, or advising on how to present medical data in health-tech products — OCR interpretation, clinical summarization, differential diagnosis support, drug interaction flags
Use when entering orchestrator mode to manage agents via Paseo CLI
Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.
基于智慧芽的专利图片相似度搜索，支持通过图片URL检索外观设计专利和实用新型专利。当用户提到专利图片搜索、外观设计专利侵权检查、外观专利搜索、视觉专利查询、以图搜专利、专利相似度检测、专利图片匹配、洛迦诺分类搜索、检查产品设计是否侵犯已有专利、patent image search, design patent search, patent reverse image search, design patent lookup, PatSnap, patent similarity时触发此技能。即使用户未明确提及"智慧芽"或"专利图片"，只要其需求涉及通过图片查找相似专利或排查外观/实用新型专利风险，也应触发此技能。
Diagnose and fix common Gladia API issues. Use when the user encounters errors (401, 403, 429), unexpected behavior, poor transcription quality, billing confusion, audio format problems, WebSocket disconnections, polling failures, or asks about limits and rate limiting. SDK-first diagnostics — many issues are solved by migrating to the official SDK.
Create and configure AI agents, upload files for RAG, manage MCP servers, and handle agent memories using the Cargo CLI. Use when the user wants to create or update agents, upload knowledge base files, connect MCP tool servers, or manage agent memories. For sending messages to agents, use the cargo-orchestration skill instead.
Overview The Amazon Agent is a high-performance tool designed to turn massive e-commerce datasets into structured, usable intelligence. It allows users to extract data from Amazon to monitor pricing,
Internal helper contract for calling the codex-companion runtime from Claude Code
Use this skill when the user's Copilot Studio agent evaluations have come back and they need to interpret scores, diagnose root causes of underperforming test cases, find remediation steps, or analyze patterns to improve their agent. Always use this skill when the user mentions: "eval failed", "why did this fail", "triage", "diagnose failure", "low pass rate", "fix evaluation results", "not passing", "failing test cases", "evaluation results", "improve my eval scores", or any situation where eval scores need interpretation and action.
Use this skill when the user wants to spend money, make purchases, send crypto, pay for APIs, browse websites for shopping, complete checkout, or manage an AI agent's payment wallet. Covers buying products online with credit cards (including browser-automated checkout), sending tokens, paying for x402 protocol APIs, checking balances, depositing funds, browsing available services, and signing on-chain transactions — all with secure guardrails, and appropriate human controls. Trigger on any spending, wallet, or shopping intent: "buy this", "pay for that", "send tokens", "how much do I have", "what can I buy", "top up my wallet", "get a card", "set up payments", "find me something to buy", "complete the checkout", or "browse that site" — even if the user doesn't mention "lobster", "crypto", or "Solana" directly.