New agentic project resources

Developers building artificial intelligence agents are getting a new wave of ready-made project scaffolding, from deployment templates to Apple-focused coding skills. (github.com) An agent is software that can call tools, read files, search the web, and take multi-step actions instead of answering with one chat response. Anthropic’s Managed Agents quickstart says an agent bundles a model, system prompt, tools, Model Context Protocol servers, and skills, then runs inside a configured environment and session. (platform.claude.com) One of the most concrete examples is Vercel’s open-source starter for an internal knowledge agent. Its README says the template connects GitHub, Notion, and Slack through Model Context Protocol, uses Next.js 16 and React 19 on the front end, and relies on Claude Managed Agents through Anthropic’s software development kit. (github.com) That package turns abstract “agentic” demos into a deployable app with environment variables, authentication, a database, and a live interface for asking questions across company tools. The repository lists Neon, Drizzle Object Relational Mapping, Better Auth, and Sign in with Vercel among the production pieces developers have to wire up. (github.com) Another project targets Apple developers who want agent output that matches current Swift and iPhone coding patterns. The `swift-ios-skills` repository says it includes 76 self-contained skills for iOS 26 and later, Swift 6.3, SwiftUI, StoreKit 2, SwiftData, and Foundation Models, with no deprecated examples. (github.com) That repository also shows how fast the tooling layer is standardizing. Its README says the skills work with Claude Code, OpenAI Codex, Cursor, GitHub Copilot, and more than 40 other agents through an open Agent Skills format. (github.com) A parallel effort is emerging around instructions for coding agents, not just code for them to run. AGENTS.md describes itself as a simple open format “used by over 60k open-source projects” that gives agents a predictable file for setup commands, tests, and code conventions that would otherwise clutter a human README. (agents.md) Prompt libraries are filling in the workflow layer between a blank chat box and a finished app. The `agent-prompts` repository says its prompts are designed for software development and research workflows, with role-based pipelines such as software architect, problem analysis, task breakdown, implementation, and citation handling. (github.com) The common thread is that builders are packaging agent work into reusable pieces: templates for deployment, skills for domain-specific code, and instruction files for repeatable behavior. That shifts the work from “try a clever prompt” toward installing a stack, connecting tools, and running a system other developers can inspect and reuse. (platform.claude.com)