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Found 6,587 Skills
Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should search the web and optionally hydrate result content.
Get Firecrawl credentials and SDK setup into a project. Use when an application needs `FIRECRAWL_API_KEY`, when an agent should add Firecrawl to `.env`, when the user wants to authenticate Firecrawl for app code, or when choosing the first SDK and docs for a new Firecrawl integration. If the task is live web work during the current session, hand off to `firecrawl/cli` instead. This skill includes its own browser auth flow, so it does not depend on the website onboarding skill.
Build, edit, and deploy full-stack websites via the Higgsfield CLI (`higgsfield website …`). Each site is a React 19 + TanStack Start app, server-rendered as one Cloudflare Worker, with D1 / R2 / KV / Durable Objects / Containers. The loop: create → repo-access → clone → edit → push → deploy preview. This skill is the website template's AGENTS.md — stack, the wow-maker design contract, the hard rules, the editing map, and the verify/deploy flow, plus per-task references. Everything is here; don't search the skill library for other design guidance. Use when: "build me a website", "make a landing page", "create a web app", "build a SaaS dashboard / tool / portfolio", "deploy this site", "edit or add a page or feature to my site", "ship to production". Chain with: higgsfield-generate for hero images, video loops, and OG assets. NOT for: single image/video/audio generation (higgsfield-generate), product photos (higgsfield-product-photoshoot), marketplace cards (higgsfield-marketplace-cards).
Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.
Best practices for writing Remotion animations that stay intuitive for agents and editable in Remotion Studio Visual Mode.
Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app — Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like "add email to my Worker" — this skill has critical config details.
Upgrade Remotion, its related packages, compatible Mediabunny packages, and installed Remotion Agent Skills. Use when asked to upgrade or update a Remotion project.
Recommends production-ready Golang libraries and frameworks. Apply when the user asks for library suggestions, wants to compare alternatives, or needs to choose a library for a specific task. Also apply when the AI agent is about to add a new dependency — ensures vetted, production-ready libraries are chosen.
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.
Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.