🌐
Anthropic
anthropic.com › engineering › building-agents-with-the-claude-agent-sdk
Building agents with the Claude Agent SDK
September 29, 2025 - But this has also made Claude in Claude Code effective at non-coding tasks. By giving it tools to run bash commands, edit files, create files and search files, Claude can read CSV files, search the web, build visualizations, interpret metrics, and do all sorts of other digital work – in short, create general-purpose agents with a computer.
🌐
Claude
claude.com › solutions › agents
AI agents | Claude
1 month ago - Claude Code is an agentic tool where developers work with Claude directly from their terminal—delegating tasks from code migrations to bug fixes.
Discussions

Claude Code now supports Custom Agents
Setting up a team of 5 at the moment: │ bug-detective-tdd │ code-review-architect │ sprint-architect-planner │ system-architect-tdd │ tdd-advocate The wizard is nice, allows you to specify a description which then auto generates a system prompt and description, or you can manually set these. Choose which tools you want to make available for the agent and the colour of the agent. The only thing I think this is missing is the ability to override the model. For example, with a model selection you could've had Opus as an architect agent and Sonnet for implementation related agents. More on reddit.com
🌐 r/ClaudeAI
204
471
July 24, 2025
Claude code /agents mode - could someone explain how it works and what are your experiences?
The primary purpose of agents is to save token space in your main context by offloading work and only retaining the relevant output in the context rather than the entire conversation history. They also allow for parallelization and choosing specific models for specific tasks, but the biggest thing is the context encapsulation. The key things to know about agents: - Agents only receive the prompt that the outer context chooses to give them. They do NOT receive the full conversation prior to the agent being called. This means their responsibility needs to be well-defined and the main context should have a clear understanding of what to give them. This is especially relevant for agents that you want to write code for you, as code often requires a lot of context to write correctly. I personally only have agents write very simple code or make sure that they can get all the context they need by passing in pre-prepared plans in markdown files. - The main context only sees the last message of the agent in its context stream. This is usually the final summary report from its task, but sometimes it can do things like update a TodoWrite as a final step and this messes up what the outer context sees. My recommendations, based on my experience working with them: - Agents are _great_ for data gathering and consolidation (i.e. read-only tasks). I have a standard agent I use any time I want to gather context for a complicated task and this has helped a lot with removing all the codebase exploration from the working context of the main Claude. - Agents are also great for wrapping tool calls that generate a lot of output, like building and unit tests. I have a standard build-test-engineer I use whose only job is run build/test, then consolidate the output to just what's relevant to the main Claude. I've found this has substantially improved performance during extended debugging of its own changes, as it keeps the actual work closer in context so that it doesn't get stuck trying to hack around bugs without a good memory of why it's trying to do that in the first place. - To get the best results, use slash commands to automate requesting it to explicitly use specific agents. It's not always great on deciding to use agents on its own. - I also include some explicit instructions for agent use cases in the `CLAUDE.md`. So far I've gotten Claude to reliably use `build-test-engineer` and I also have it using `batch-editor` reasonably often (this is my agent for applying simple edits across a bunch of files, like for refactoring/cleanup tasks.) More on reddit.com
🌐 r/ClaudeCode
8
8
August 19, 2025
Ultimate Agent - Claude Code vs CODEX vs JULES : ClaudeAI
🌐 r/ClaudeAI
Claude Code vs. Cursor Agent Mode (Quality not Price) : ChatGPTCoding
I started using Claude Code and it is insane. I have not used Cursor much. Is its agent mode just as good? I dont want to hear the price... More on old.reddit.com
🌐 r/ChatGPTCoding
People also ask

What is the Skill Writer for Claude Code?
Skill Writer is a specialized Agent Skill designed to guide developers through the entire lifecycle of creating new capabilities for Claude Code. It helps you design, write, and validate custom skills to enhance AI behavior for specific tasks.
🌐
mcpmarket.com
mcpmarket.com › home › agent skills › skill writer
Skill Writer: Create & Validate Claude Code Agent Skills
Can Skill Writer help with security and tool permissions?
Yes. It provides guidance on tool permission management, helping you configure the 'allowed-tools' field to restrict Claude's access to specific functions for security-sensitive or read-only workflows.
🌐
mcpmarket.com
mcpmarket.com › home › agent skills › skill writer
Skill Writer: Create & Validate Claude Code Agent Skills
What documentation files does Skill Writer help create?
It assists in generating the required SKILL.md file and supports progressive disclosure by helping you organize supporting files like reference.md, examples.md, and helper scripts.
🌐
mcpmarket.com
mcpmarket.com › home › agent skills › skill writer
Skill Writer: Create & Validate Claude Code Agent Skills
🌐
Claude
code.claude.com › docs › en › sub-agents
Subagents - Claude Code Docs
Claude Code includes built-in subagents that are available out of the box: The general-purpose subagent is a capable agent for complex, multi-step tasks that require both exploration and action.
🌐
GitHub
github.com › wshobson › agents
GitHub - wshobson/agents: Intelligent automation and multi-agent orchestration for Claude Code
2 weeks ago - A comprehensive production-ready system combining 99 specialized AI agents, 15 multi-agent workflow orchestrators, 107 agent skills, and 71 development tools organized into 67 focused, single-purpose plugins for Claude Code.
Starred by 23.2K users
Forked by 2.6K users
Languages   Python 68.0% | Shell 32.0%
🌐
MCP Market
mcpmarket.com › home › agent skills › skill writer
Skill Writer: Create & Validate Claude Code Agent Skills
2 days ago - Guides users through designing, writing, and validating custom Agent Skills for Claude Code to enhance AI behavior for specific tasks.
🌐
Anthropic
anthropic.com › engineering › claude-code-best-practices
Claude Code: Best practices for agentic coding
When onboarding to a new codebase, use Claude Code for learning and exploration. You can ask Claude the same sorts of questions you would ask another engineer on the project when pair programming. Claude can agentically search the codebase to answer general questions like:
🌐
OpenTools.ai
opentools.ai › news › anthropics-claude-for-chrome-your-new-ai-browser-buddy
Anthropic's Claude for Chrome: Your New AI Browser Buddy! | AI News
3 days ago - Anthropic has launched its Claude in Chrome extension to all paid subscribers, allowing the AI to manage and interact with web pages directly from your browser. From reading content to filling forms and orchestrating complex workflows, Claude's ...
Find elsewhere
🌐
Medium
medium.com › vibe-coding › 99-of-developers-havent-seen-claude-code-sub-agents-it-changes-everything-c8b80ed79b97
99% of Developers Haven’t Seen Claude Code Sub Agents (It Changes Everything) | Vibe Coding
July 30, 2025 - Claude Code Sub Agents let you build specialized AI teams for coding tasks. Stop context switching and boost productivity in minutes.
🌐
Claudecodeagents
claudecodeagents.com
Claude Code Agents
🪨 Claude Cave Timer · Discover powerful AI agents to enhance your development workflow. Click any agent to get started with ready-to-use prompts. All · Product Strategy5Development8Design & UX4Quality & Testing4Operations5Business & Analytics7AI & Innovation3 ·
🌐
LangChain
blog.langchain.com › how-to-turn-claude-code-into-a-domain-specific-coding-agent
How to turn Claude Code into a domain specific coding agent
September 11, 2025 - For Claude.md, we created a LangGraph library guide. It included detailed instructions for common LangGraph project structure requirements, like mandatory codebase searching before creating files, proper export patterns, and deployment best practices. It included sample code for primitives required for building both single and multi-agent systems, things like create_react_agent, supervisor patterns, and swarm patterns for dynamic handoffs.
🌐
Reddit
reddit.com › r/claudecode › claude code /agents mode - could someone explain how it works and what are your experiences?
r/ClaudeCode on Reddit: Claude code /agents mode - could someone explain how it works and what are your experiences?
August 19, 2025 -

Hi,
could someone explain how the /agents mode in Claude Code actually works? I’m wondering if it’s more of a coding sandbox step-by-step, or closer to autonomous agents handling tasks. What are your experiences with using this mode?

Top answer
1 of 2
6
The primary purpose of agents is to save token space in your main context by offloading work and only retaining the relevant output in the context rather than the entire conversation history. They also allow for parallelization and choosing specific models for specific tasks, but the biggest thing is the context encapsulation. The key things to know about agents: - Agents only receive the prompt that the outer context chooses to give them. They do NOT receive the full conversation prior to the agent being called. This means their responsibility needs to be well-defined and the main context should have a clear understanding of what to give them. This is especially relevant for agents that you want to write code for you, as code often requires a lot of context to write correctly. I personally only have agents write very simple code or make sure that they can get all the context they need by passing in pre-prepared plans in markdown files. - The main context only sees the last message of the agent in its context stream. This is usually the final summary report from its task, but sometimes it can do things like update a TodoWrite as a final step and this messes up what the outer context sees. My recommendations, based on my experience working with them: - Agents are _great_ for data gathering and consolidation (i.e. read-only tasks). I have a standard agent I use any time I want to gather context for a complicated task and this has helped a lot with removing all the codebase exploration from the working context of the main Claude. - Agents are also great for wrapping tool calls that generate a lot of output, like building and unit tests. I have a standard build-test-engineer I use whose only job is run build/test, then consolidate the output to just what's relevant to the main Claude. I've found this has substantially improved performance during extended debugging of its own changes, as it keeps the actual work closer in context so that it doesn't get stuck trying to hack around bugs without a good memory of why it's trying to do that in the first place. - To get the best results, use slash commands to automate requesting it to explicitly use specific agents. It's not always great on deciding to use agents on its own. - I also include some explicit instructions for agent use cases in the `CLAUDE.md`. So far I've gotten Claude to reliably use `build-test-engineer` and I also have it using `batch-editor` reasonably often (this is my agent for applying simple edits across a bunch of files, like for refactoring/cleanup tasks.)
2 of 2
1
Use /agents Use claude recommended method to create an agent Then @agent and give it a task It basically spins up a new instance in background and works through the task, fresh context, orchestrated by claude
🌐
YouTube
youtube.com › watch
Claude Agent Skills Explained - YouTube
Agent Skills are organized folders that package expertise that Claude can automatically invoke when relevant to the task at hand.Join the Claude Developer Di...
Published   1 month ago
🌐
GitHub
github.com › hesreallyhim › a-list-of-claude-code-agents
GitHub - hesreallyhim/a-list-of-claude-code-agents: A list of Claude Code Sub-Agents submitted by the community.
EquilateralAgents Open Core by HappyHippo.ai 22 self-learning AI agents with memory and community standards contribution. Features agent memory (tracks last 100 executions), pattern recognition, and workflow optimization for security, quality, deployment, and compliance. Claude Code Subagents Collection by Seth Hobson.
Starred by 1.1K users
Forked by 106 users
🌐
Anthropic
anthropic.com › engineering › equipping-agents-for-the-real-world-with-agent-skills
Equipping agents for the real world with Agent Skills
October 16, 2025 - As model capabilities improve, we can now build general-purpose agents that interact with full-fledged computing environments. Claude Code, for example, can accomplish complex tasks across domains using local code execution and filesystems.
🌐
Jannesklaas
jannesklaas.github.io › ai › 2025 › 07 › 20 › claude-code-agent-design.html
Agent design lessons from Claude Code | Jannes’ Blog
July 20, 2025 - What suprised me is that Claude Code’s design is relatively simple. It is a standard agentic pattern for a single agent, combined with a host of tricks to enable running long sessions and well thought out tools to enable code editing.
🌐
Claude
claude.ai
Claude
Talk with Claude, an AI assistant from Anthropic
🌐
Claude Code Agents
subagents.cc
Claude Code Agents
This agent specializes in understanding user needs, pain points, and behaviors to inform product decisions within rapid development cycles. ... Discover professionally crafted Claude Code Agents with detailed descriptions and examples.
🌐
Anthropic
anthropic.com › engineering › writing-tools-for-agents
Writing effective tools for AI agents—using ...
But so is optimizing the quantity of context returned back to agents in tool responses. We suggest implementing some combination of pagination, range selection, filtering, and/or truncation with sensible default parameter values for any tool responses that could use up lots of context. For Claude Code, we restrict tool responses to 25,000 tokens by default.