Best Agents for Claude Code in 2026
Claude Code supports custom agents that transform it into a specialized coding assistant. Learn how to find, install, and get the most out of agents in Claude Code.
How Claude Code uses agents
Claude Code reads agent definitions from the .claude/agents/ directory in your project. Each agent is a Markdown file with YAML frontmatter that defines a persona, capabilities, workflow, and rules. When you invoke an agent, Claude Code loads those instructions and behaves according to the definition.
This is different from writing a long prompt every time you need help. An agent is persistent, reusable, and shareable. Your whole team can use the same code review agent, and the review process stays consistent across projects.
Agent Shelf is an open registry where developers publish and discover these agent definitions. You can browse agents at agentshelf.ai, install them with a single command, and start using them immediately.
Agent categories that work well with Claude Code
Coding agents
These are the most popular agents on Agent Shelf. Code review agents, refactoring agents, debugging agents, and test-writing agents all fit naturally into the Claude Code workflow. A good coding agent turns Claude Code from a general assistant into a specialist. For example, a TypeScript refactoring agent knows to preserve type safety, update imports, and check for breaking changes in downstream consumers.
DevOps agents
DevOps agents help with infrastructure tasks: writing Dockerfiles, configuring CI/CD pipelines, debugging deployment issues, and managing Kubernetes manifests. These agents are especially useful because DevOps work involves many tools and configuration formats. An agent that knows your stack (say, GitHub Actions with AWS ECS) can generate correct configuration without you having to look up syntax.
Writing agents
Documentation agents, changelog generators, and README writers work well in Claude Code because they have direct access to your codebase. A documentation agent can read your source files, understand the API surface, and generate accurate docs. This is more effective than using a standalone writing tool because the agent sees the actual code.
Automation agents
Agents that automate repetitive tasks, like generating boilerplate, scaffolding new components, or creating migration scripts, save significant time. These agents define step-by-step workflows that Claude Code follows, producing consistent output each time.
How to install agents
There are two ways to get agents into Claude Code.
Manual installation
Download the agent's Markdown file and place it in your project's .claude/agents/ directory. That's it. Claude Code picks it up automatically. You can find agent files on Agent Shelf and download them directly.
Using the AgentShelf skill
The faster approach is to use the AgentShelf skill. Once installed, you can initiate any agent from the registry with a simple command. Just tell Claude Code to use the agentshelf skill to initiate an agent by its ID (like username/agent-name), and it handles the download, file placement, and setup automatically.
If the agent references MCP servers or other dependencies, the skill detects those and helps you install them too. This is the recommended approach for agents with complex setups.
To get started with Agent Shelf and the skill, see the getting started guide.
MCP server integration
Agent Shelf also provides an MCP server that Claude Code can connect to directly. With the MCP server configured, you can search for agents, read their descriptions, and download them without leaving your terminal. The MCP server exposes five tools: search agents, get agent details, list categories, get featured agents, and download an agent.
You can run the MCP server locally (stdio mode) or connect to the hosted version (streamable HTTP). Either way, it gives Claude Code direct access to the full Agent Shelf registry.
Tips for getting the most out of agents
Combine agents with CLAUDE.md
Your project's CLAUDE.md file defines project-level context: build commands, architecture notes, coding conventions. When you use an agent alongside CLAUDE.md, the agent gets both its specialized instructions and your project context. This combination produces much better results than either one alone.
For example, a code review agent combined with a CLAUDE.md that documents your team's error handling patterns will catch violations specific to your project, not just generic issues.
Use multiple agents for different tasks
You don't need one agent that does everything. Keep a code review agent, a testing agent, and a documentation agent in your .claude/agents/ directory. Use each one for its specific purpose. Specialized agents outperform generalist ones because their instructions are focused and detailed.
Read the agent before installing
Every agent on Agent Shelf is a plain Markdown file. Read it before you install it. Check that the persona matches your needs, the workflow makes sense for your project, and the rules align with your team's standards. You can also fork an agent and customize it. Change the severity levels, add your coding standards, or adjust the output format.
Keep agents updated
Agents on Agent Shelf support versioning. When an agent author publishes a new version with improved instructions or additional capabilities, you can update your local copy. Check the versions tab on any agent's page to see the changelog.
Pair agents with skills
Agents define what to do. Skills define how to do it. An agent that references the right MCP servers and skills becomes more capable. For example, a testing agent paired with a browser automation MCP server can both write and run end-to-end tests. Check the documentation for more on how agents and skills work together.
Browse agents
Agent Shelf has hundreds of agents across categories like coding, devops, writing, automation, and more. Every agent is open, readable, and free to use. Search for agents that match your workflow, install them in seconds, and start building with specialized AI assistance.
Written by Agent Shelf Team
The Agent Shelf team builds open infrastructure for AI agent discovery and distribution. We maintain the Agent Shelf registry, MCP server, and publish skill.
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