Claude
A thinking partner for research, analysis, writing, coding, and turning ideas into useful work.
Discover the tools, AI skills, agents, and courses startup people actually put in their stacks.
A thinking partner for research, analysis, writing, coding, and turning ideas into useful work.
A general-purpose AI assistant for questions, drafting, problem solving, research, and multimodal work.
An AI code editor that can understand a codebase, propose edits, run commands, and work through development tasks.
An AI-powered search engine that answers questions with links to the underlying web sources.
AI-assisted interface design for exploring layouts, editing content, finding assets, creating images, and producing interactive prototypes.
An installer and configuration skill that gives command-capable AI agents access to web pages, search, social platforms, video subtitles, GitHub, and RSS.
A production-grade engineering skill library that organizes agent work across specification, planning, implementation, testing, review, and shipping.
A 15-area architecture checklist for systems where AI agents are primary actors, spanning tools, context, approvals, permissions, and auditability.
An AI app builder that turns natural-language prompts into working web apps with interface, data, logic, authentication, and hosting.
A hands-on short course on iterative prompting and building language-model features for summarizing, inferring, transforming, expanding, and chat.
A project-based computer-science course covering search, knowledge, uncertainty, optimization, machine learning, neural networks, and language.
A free hands-on course covering agent fundamentals, frameworks, agentic retrieval, observability, evaluation, and a final project.
A frontend design skill with a shared design language, 24 commands, live browser iteration, and deterministic checks for common AI-generated UI problems.
A local Claude Code skill for querying Google NotebookLM notebooks and returning source-grounded, citation-backed answers from uploaded material.
A complete software-development methodology that makes coding agents clarify requirements, plan, test-drive changes, review work, and verify completion.
An anti-slop frontend framework that gives AI coding agents stronger guidance for layout, typography, motion, spacing, redesigns, and visual references.
A multi-agent codebase analysis skill that turns files, functions, classes, dependencies, and business logic into an interactive knowledge graph.