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Found 7,197 Skills
Multimodal UI understanding and single-step planning via OpenAI-compatible Responses APIs. Use when you need AIQuery/AIAssert and plan-next to extract UI element coordinates, validate UI assertions, summarize screenshots, or decide the next UI action from an image. External agents handle execution via adb/hdc and multi-step loops. Defaults to Doubao models but can be pointed at other multimodal providers via base URL, API key, and model name.
Skill for using Fabro, the open source AI coding workflow orchestrator that lets you define agent pipelines as Graphviz DOT graphs with human gates, multi-model routing, and cloud sandboxes.
This skill should be used when the user encounters an HTTP 402 Payment Required response, wants to pay for a payment-gated API or resource, or mentions 'x402', 'pay for access', '402 payment', 'payment-gated URL', or 'sign x402 payment'. Primary path signs via TEE with a wallet session (JWT); fallback path guides local EIP-3009 signing with the user's own private key if they have no wallet. Returns the payment proof (signature + authorization) that the caller can attach as a payment header to access the resource. Do NOT use for swap or token transfers — use okx-dex-swap instead. Do NOT use for wallet balance or portfolio queries — use okx-agentic-wallet or okx-wallet-portfolio. Do NOT use for security scanning — use okx-security. Do NOT use for transaction broadcasting — use okx-onchain-gateway. Do NOT use for general programming questions.
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.
HeroUI v2 to v3 migration guide for agents. Use when migrating HeroUI v2 apps to v3, upgrading components, or accessing migration documentation. Keywords: HeroUI migration, v2 to v3, migration guide, upgrade HeroUI.
Documentation reference for using Browser Use Cloud — the hosted API and SDK for browser automation. Use this skill whenever the user needs help with the Cloud REST API (v2 or v3), browser-use-sdk (Python or TypeScript), X-Browser-Use-API-Key authentication, cloud sessions, browser profiles, profile sync, CDP WebSocket connections, stealth browsers, residential proxies, CAPTCHA handling, webhooks, workspaces, skills marketplace, liveUrl streaming, pricing, or integration patterns (chat UI, subagent, adding browser tools to existing agents). Also trigger for questions about n8n/Make/Zapier integration, Playwright/ Puppeteer/Selenium on cloud infrastructure, or 1Password vault integration. Do NOT use this for the open-source Python library (Agent, Browser, Tools config) — use the open-source skill instead.
Use KWC CLI (kd) to translate user requirements into deliverable KWC projects, components, page metadata, environment configurations, deployment and debugging results. This Skill is used when an Agent needs to initialize or extend a KWC project via scaffolding, split functions into KWC components, create or update *.page-meta.kwp, configure kd env, deploy metadata to the target environment, or guide the full process from requirements to KWC page rendering.
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.
CLI tools for Svelte 5 documentation lookup and code analysis. MUST be used whenever creating or editing any Svelte component (.svelte) or Svelte module (.svelte.ts/.svelte.js). If possible, this skill should be executed within the svelte-file-editor agent for optimal results.
Build MCP servers on Cloudflare Workers - the only platform with official remote MCP support. TypeScript-based with OAuth, Durable Objects, and WebSocket hibernation. Prevents 24 documented errors. Use when: deploying remote MCP servers, implementing OAuth, or troubleshooting URL path mismatches, McpAgent exports, CORS issues, IoContext timeouts.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
Build with Claude Messages API using structured outputs for guaranteed JSON schema validation. Covers prompt caching (90% savings), streaming SSE, tool use, and model deprecations. Prevents 16 documented errors. Use when: building chatbots/agents, troubleshooting rate_limit_error, prompt caching issues, streaming SSE parsing errors, MCP timeout issues, or structured output hallucinations.