form-cro
Optimize non-signup forms to increase conversion rates. Includes lead capture, contact, demo, application, and survey forms.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
508 skills found
Optimize non-signup forms to increase conversion rates. Includes lead capture, contact, demo, application, and survey forms.
GPT Researcher is an autonomous AI agent for comprehensive web and local research, generating detailed, cited reports using a planner-executor-publisher architecture.
Automate non-interactive npm package installations by piping shell confirmations to bypass prompts.
Format and lint JS, TS, and JSON files on the current branch using Biome. Useful for code cleanup before commits or PRs.
Build React applications using React Router's data mode (createBrowserRouter/RouterProvider) for loaders, actions, fetchers, and optimistic UI without the Vite framework plugin.
Normalizes testing defect logs by correcting typos, abbreviations, and ambiguous descriptions based on product-specific codebooks and station validation.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
A comprehensive guide for using Bun as a high-performance alternative to Node.js. Supports project initialization, dependency management, script execution, and migration checklists.
Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.
Rust language server (rust-analyzer) providing code intelligence, real-time diagnostics, and refactoring support for .rs projects.
Expert consultant for designing and building high-quality, consistent AI agent skills. Guides you through discovery, architecture, and creation phases to ensure reliable, composable, and efficient skill delivery.
Transform AI agents into proactive partners using WAL Protocol, persistent memory buffers, and autonomous cron scheduling to anticipate needs and improve performance.