756 skills ・ Works with: Cloudflare · sorted by popularity
Audit a website’s technical foundations for search engines and AI services. Check crawler access, indexing, security, mobile usability, speed, and server-rendered content, then produce a scored Markdown report with prioritized findings.
Check whether AI crawlers, the bots that collect web content for AI services, can access a website. Get a crawler access table, an assessment score, and recommendations based on robots.txt, page tags, HTTP headers, and rendering requirements.
Organize red team exercises that simulate adversaries to assess an organization's detection and response. Covers engagement rules, infrastructure, operational controls, evidence handling, and reports that help security teams review gaps and prioritize improvements.
Create server endpoints in Expo Router and deploy them with EAS Hosting. Use them to keep API keys off the client, validate incoming data, access databases, proxy external services, and receive webhook notifications.
Build and deploy AI agents on Cloudflare Workers using the Agents SDK. Supports persistent conversation state, live WebSocket connections, scheduled tasks, and tool integration, with guidance for connecting browser or React chat interfaces.
Write and review Cloudflare Workers code using current official guidance. Check configuration, asynchronous tasks, large response handling, secrets, and service connections, with findings supported by documentation, code locations, or validation results.
Build isolated code execution environments on Cloudflare Workers for AI-generated code, scripts, and build pipelines. Covers running commands, managing files, preserving interpreter state, exposing service previews, and cleaning up sandbox resources.
Develop and deploy Cloudflare Workers, manage related storage and services, and troubleshoot configuration with Wrangler. The skill checks official documentation and configuration definitions before preparing commands, with guidance for local development, environments, secrets, and logs.
Build and review Cloudflare Durable Objects for applications that retain shared state, such as chat rooms, games, and booking systems. Covers SQLite storage, remote method calls, WebSockets, scheduled work, Workers integration, configuration, and Vitest tests.
Build remote MCP servers, which let AI agents call external tools, on Cloudflare Workers. This skill covers server code, tool definitions, OAuth authentication, local testing, deployment, and connecting a Codex client.
Choose Cloudflare services and implement applications using guidance for compute, storage, AI, networking, and security. The skill directs the agent to relevant references and current official documentation for configuration, APIs, limits, and pricing.
Build AI agents on Cloudflare Workers with the Agents SDK. Implement persistent state, real-time chat, scheduled tasks, multi-step background workflows, and MCP servers, using current Cloudflare documentation to guide implementation.
Deploy applications to Render by inspecting the code and preparing service settings. Generate a render.yaml configuration or create services through MCP, an agent tool connection, then check deployment status, logs, and basic service health.
Deploy applications and infrastructure to Cloudflare by choosing services that fit the project. Covers Workers, Pages, storage, and related platform options, with authentication checks and references for configuring and publishing the selected setup.
Deploy an application or website to Vercel and receive its deployment link. Create a preview by default, request production explicitly, or use the included fallback script when the command line tool has no saved credentials.
Deploy web projects to Netlify with its command-line tool. The skill checks login status, links or creates a site, detects build settings, and publishes a preview or production version with deployment URLs and log links.
Test whether a browsing AI agent follows fake security verification instructions that expose stored personal information through URL paths. Examine chained navigation, memory disclosure, and constructed URLs, then document confirmed findings with evidence and mitigation suggestions.
Configure coding agents, AI SDKs, and HTTP clients to send model requests through AntSeed’s local proxy. Find available providers and models, select a provider, set compatible API endpoints, and verify request usage and payment activity.
Gather Product Hunt launches from daily, weekly, monthly, or yearly leaderboards. Collect rankings, descriptions, votes, and product links, with optional maker profiles and visible website email addresses for product discovery and competitor research.
Build and configure web servers with Nitro, including request handlers, caching, storage, and scheduled tasks. The skill also guides deployment to supported runtimes and platforms, plus migration from Nitro v2 to v3.
Extract data from websites or saved HTML using a suitable fetching method for each page. The skill generates and runs scripts for static pages, form-based logins, JavaScript rendering, and sites with Cloudflare or WAF protection.
Evaluate security findings before writing a bug bounty report. Check reproducibility, scope, practical impact, duplicates, and behavior across user sessions, then use submission checklists and CVSS 3.1 guidance to prepare evidence and assess severity.
Find test inputs and bypass references for web security checks, including XSS, SQL injection, and access control flaws. Use the guidance to investigate impact and assess whether a finding is suitable for a vulnerability report.
Add new AI models to Kiln's ml_model_list.py and produce a Discord announcement. Use when the user wants to add, integrate, or register a new LLM model (e.g. Claude, GPT, DeepSeek, Gemini, Kimi, Qwen, Grok) into the Kiln model list, mentions adding a model to ml_model_list.py, asks to discover/find new models that are available but not yet in Kiln, or wants to add a net-new AI provider to Kiln.
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